var bibbase_data = {"data":"<img src=\"//bibbase.org/img/ajax-loader.gif\" id=\"spinner\"\n  style=\"display: none;\" alt=\"Loading..\" />\n\n<div id=\"bibbase\">\n\n  <script type=\"text/javascript\">\n    var bibbase = {\n      params: {\"jsonp\":\"1\",\"host\":\"bibbase.org\",\"ssl\":false},\n      data: [{\"title\":\"Additional Value of Using Satellite-Based Soil Moisture and Two Sources of Groundwater Data for Hydrological Model Calibration\",\"type\":\"article\",\"year\":\"2019\",\"pages\":\"2083\",\"volume\":\"11\",\"websites\":\"https://doi.org/10.20944/preprints201909.0057.v1,https://www.mdpi.com/2073-4441/11/10/2083\",\"month\":\"10\",\"day\":\"6\",\"id\":\"1f1437b5-a600-3dac-83af-39b0bff51562\",\"created\":\"2020-01-21T08:33:46.339Z\",\"file_attached\":\"true\",\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2023-10-07T10:42:56.512Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":false,\"hidden\":false,\"private_publication\":false,\"abstract\":\"Although the complexity of physically-based models continues to increase, they still need to be calibrated. In recent years, there has been an increasing interest in using new satellite technologies and products with high resolution in model evaluations and decision-making. The aim of this study is to investigate the value of different remote sensing products and groundwater level measurements in the temporal calibration of a well-known hydrologic model i.e., Hydrologiska Bryåns Vattenbalansavdelning (HBV). This has rarely been done for conceptual models, as satellite data are often used in the spatial calibration of the distributed models. Three different soil moisture products from the European Space Agency Climate Change Initiative Soil Measure (ESA CCI SM v04.4), The Advanced Microwave Scanning Radiometer on the Earth Observing System (EOS) Aqua satellite (AMSR-E), soil moisture active passive (SMAP), and total water storage anomalies from Gravity Recovery and Climate Experiment (GRACE) are collected and spatially averaged over the Moselle River Basin in Germany and France. Different combinations of objective functions and search algorithms, all targeting a good fit between observed and simulated streamflow, groundwater and soil moisture, are used to analyze the contribution of each individual source of information.\",\"bibtype\":\"article\",\"author\":\"Demirel, undefined and Özen, undefined and Orta, undefined and Toker, undefined and Demir, undefined and Ekmekcioğlu, undefined and Tayşi, undefined and Eruçar, undefined and Sağ, undefined and Sarı, undefined and Tuncer, undefined and Hancı, undefined and Özcan, undefined and Erdem, undefined and Koşucu, undefined and Başakın, undefined and Ahmed, undefined and Anwar, undefined and Avcuoğlu, undefined and Vanlı, undefined and Stisen, undefined and Booij, undefined\",\"doi\":\"10.3390/w11102083\",\"journal\":\"Water\",\"number\":\"10\",\"bibtex\":\"@article{\\n title = {Additional Value of Using Satellite-Based Soil Moisture and Two Sources of Groundwater Data for Hydrological Model Calibration},\\n type = {article},\\n year = {2019},\\n pages = {2083},\\n volume = {11},\\n websites = {https://doi.org/10.20944/preprints201909.0057.v1,https://www.mdpi.com/2073-4441/11/10/2083},\\n month = {10},\\n day = {6},\\n id = {1f1437b5-a600-3dac-83af-39b0bff51562},\\n created = {2020-01-21T08:33:46.339Z},\\n file_attached = {true},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2023-10-07T10:42:56.512Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {false},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {Although the complexity of physically-based models continues to increase, they still need to be calibrated. In recent years, there has been an increasing interest in using new satellite technologies and products with high resolution in model evaluations and decision-making. The aim of this study is to investigate the value of different remote sensing products and groundwater level measurements in the temporal calibration of a well-known hydrologic model i.e., Hydrologiska Bryåns Vattenbalansavdelning (HBV). This has rarely been done for conceptual models, as satellite data are often used in the spatial calibration of the distributed models. Three different soil moisture products from the European Space Agency Climate Change Initiative Soil Measure (ESA CCI SM v04.4), The Advanced Microwave Scanning Radiometer on the Earth Observing System (EOS) Aqua satellite (AMSR-E), soil moisture active passive (SMAP), and total water storage anomalies from Gravity Recovery and Climate Experiment (GRACE) are collected and spatially averaged over the Moselle River Basin in Germany and France. Different combinations of objective functions and search algorithms, all targeting a good fit between observed and simulated streamflow, groundwater and soil moisture, are used to analyze the contribution of each individual source of information.},\\n bibtype = {article},\\n author = {Demirel, undefined and Özen, undefined and Orta, undefined and Toker, undefined and Demir, undefined and Ekmekcioğlu, undefined and Tayşi, undefined and Eruçar, undefined and Sağ, undefined and Sarı, undefined and Tuncer, undefined and Hancı, undefined and Özcan, undefined and Erdem, undefined and Koşucu, undefined and Başakın, undefined and Ahmed, undefined and Anwar, undefined and Avcuoğlu, undefined and Vanlı, undefined and Stisen, undefined and Booij, undefined},\\n doi = {10.3390/w11102083},\\n journal = {Water},\\n number = {10}\\n}\",\"author_short\":[\"Demirel\",\"Özen\",\"Orta\",\"Toker\",\"Demir\",\"Ekmekcioğlu\",\"Tayşi\",\"Eruçar\",\"Sağ\",\"Sarı\",\"Tuncer\",\"Hancı\",\"Özcan\",\"Erdem\",\"Koşucu\",\"Başakın\",\"Ahmed\",\"Anwar\",\"Avcuoğlu\",\"Vanlı\",\"Stisen\",\"Booij\"],\"urls\":{\"Website\":\"https://doi.org/10.20944/preprints201909.0057.v1,https://www.mdpi.com/2073-4441/11/10/2083\"},\"biburl\":\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c\",\"bibbaseid\":\"demirel-zen-orta-toker-demir-ekmekciolu-tayi-eruar-etal-additionalvalueofusingsatellitebasedsoilmoistureandtwosourcesofgroundwaterdataforhydrologicalmodelcalibration-2019\",\"role\":\"author\",\"metadata\":{\"authorlinks\":{\"demirel,  m\":\"https://web.itu.edu.tr/demirelmc/bibbase_yayinlar.html\"}},\"downloads\":5,\"html\":\"\"},{\"title\":\"Tree-based nonlinear ensemble technique to predict energy dissipation in stepped spillways\",\"type\":\"article\",\"year\":\"2022\",\"keywords\":\"Energy dissipation,machine learning,skimming flow,stepped spillway,tree-based ensemble models\",\"pages\":\"3547-3565\",\"volume\":\"26\",\"websites\":\"https://www.tandfonline.com/doi/full/10.1080/19648189.2020.1805024\",\"month\":\"6\",\"publisher\":\"Taylor & Francis\",\"day\":\"11\",\"id\":\"314d6a69-9f91-31a1-b9fb-496025e1232c\",\"created\":\"2020-10-21T09:08:05.367Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2023-02-03T06:55:54.602Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"folder_uuids\":\"c5533b1d-36e5-4bbb-a4b5-fca0f923a0c3,5b8365e6-031b-4dee-80a0-95c1b735e3a9\",\"private_publication\":false,\"abstract\":\"In this study, under the skimming flow regime, energy dissipation was investigated with data-driven methods. The data set obtained from the laboratory experiments were modelled by different machine learning (ML) methods, including support vector machine (SVM), K-star (K*) algorithm and artificial neural networks (ANN). Afterwards, for the first time in the literature, linear and nonlinear ensemble models were established in order to improve the accuracy of single models in predicting energy dissipation. Simple average (SA-E) and weighted average (WA-E) were performed as linear ensemble models while M5 Model Tree (M5-MTE) and Random Forest (RF-E) were used to establish non-linear ensemble models. The model results were evaluated according to performance metrics, such as Coefficient of Correlation (CC), Percent Bias (PBIAS), Performance Index (PI), Willmott’s index of agreement (WI) and Nash-Sutcliffe efficiency criteria (NSE). The NSE values are calculated as 0.986, 0.909 and 0.985 for SVM, K* and ANN models, respectively. Moreover, for the ensemble models, higher NSE values were obtained for both linear (NSESA-E = 0.9887, NSEWA-E = 0.9916) and tree-based non-linear (NSEM5 MT-E = 0.9963, NSERF-E = 0.9974) models. Overall, it can be stated that tree-based ensemble models make better predictions for energy dissipation calculation in step spilways compared to single ML methods.\",\"bibtype\":\"article\",\"author\":\"Ekmekcioğlu, Ömer and Başakın, Eyyup Ensar and Özger, Mehmet\",\"doi\":\"10.1080/19648189.2020.1805024\",\"journal\":\"European Journal of Environmental and Civil Engineering\",\"number\":\"8\",\"bibtex\":\"@article{\\n title = {Tree-based nonlinear ensemble technique to predict energy dissipation in stepped spillways},\\n type = {article},\\n year = {2022},\\n keywords = {Energy dissipation,machine learning,skimming flow,stepped spillway,tree-based ensemble models},\\n pages = {3547-3565},\\n volume = {26},\\n websites = {https://www.tandfonline.com/doi/full/10.1080/19648189.2020.1805024},\\n month = {6},\\n publisher = {Taylor & Francis},\\n day = {11},\\n id = {314d6a69-9f91-31a1-b9fb-496025e1232c},\\n created = {2020-10-21T09:08:05.367Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2023-02-03T06:55:54.602Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n folder_uuids = {c5533b1d-36e5-4bbb-a4b5-fca0f923a0c3,5b8365e6-031b-4dee-80a0-95c1b735e3a9},\\n private_publication = {false},\\n abstract = {In this study, under the skimming flow regime, energy dissipation was investigated with data-driven methods. The data set obtained from the laboratory experiments were modelled by different machine learning (ML) methods, including support vector machine (SVM), K-star (K*) algorithm and artificial neural networks (ANN). Afterwards, for the first time in the literature, linear and nonlinear ensemble models were established in order to improve the accuracy of single models in predicting energy dissipation. Simple average (SA-E) and weighted average (WA-E) were performed as linear ensemble models while M5 Model Tree (M5-MTE) and Random Forest (RF-E) were used to establish non-linear ensemble models. The model results were evaluated according to performance metrics, such as Coefficient of Correlation (CC), Percent Bias (PBIAS), Performance Index (PI), Willmott’s index of agreement (WI) and Nash-Sutcliffe efficiency criteria (NSE). The NSE values are calculated as 0.986, 0.909 and 0.985 for SVM, K* and ANN models, respectively. Moreover, for the ensemble models, higher NSE values were obtained for both linear (NSESA-E = 0.9887, NSEWA-E = 0.9916) and tree-based non-linear (NSEM5 MT-E = 0.9963, NSERF-E = 0.9974) models. Overall, it can be stated that tree-based ensemble models make better predictions for energy dissipation calculation in step spilways compared to single ML methods.},\\n bibtype = {article},\\n author = {Ekmekcioğlu, Ömer and Başakın, Eyyup Ensar and Özger, Mehmet},\\n doi = {10.1080/19648189.2020.1805024},\\n journal = {European Journal of Environmental and Civil Engineering},\\n number = {8}\\n}\",\"author_short\":[\"Ekmekcioğlu,  Ö.\",\"Başakın,  E., E.\",\"Özger,  M.\"],\"urls\":{\"Website\":\"https://www.tandfonline.com/doi/full/10.1080/19648189.2020.1805024\"},\"biburl\":\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c\",\"bibbaseid\":\"ekmekciolu-baakn-zger-treebasednonlinearensembletechniquetopredictenergydissipationinsteppedspillways-2022\",\"role\":\"author\",\"keyword\":[\"Energy dissipation\",\"machine learning\",\"skimming flow\",\"stepped spillway\",\"tree-based ensemble models\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Letter to the editor “comparing artificial intelligence techniques for chlorophyll-a prediction in US lakes”\",\"type\":\"article\",\"year\":\"2020\",\"keywords\":\"Drought,EMD,Fuzzy logic,Prediction,Self-calibrated PDSI\",\"pages\":\"22131-22134\",\"volume\":\"27\",\"websites\":\"https://link.springer.com/10.1007/s11356-020-08666-8\",\"month\":\"6\",\"day\":\"12\",\"id\":\"4fe4a404-54b7-3e0d-847a-598fa0e8c05b\",\"created\":\"2020-10-24T23:59:00.000Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2023-04-02T02:50:04.634Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":false,\"hidden\":false,\"folder_uuids\":\"5b8365e6-031b-4dee-80a0-95c1b735e3a9\",\"private_publication\":false,\"abstract\":\"© 2020, Springer Nature Switzerland AG. Drought is one of the most significant natural disaster and prediction of drought is a key aspect in effective management of water resources and reducing the effect of a drought with preliminary studies plays significant role. In this study, we predicted one of the meteorological drought indices, the self-calibrated Palmer Drought Severity Index (sc-PDSI), values for Adana, Turkey. First, we used adaptive neuro fuzzy inference system (ANFIS) as a standalone technique to predict sc-PDSI. Second, we used empirical mode decomposition (EMD) as a pre-processing technique to decompose the sc-PDSI time series into the sub-series and applied ANFIS to each sub-series. Following the prediction, results are summed each other and final prediction of the hybrid EMD-ANFIS method is obtained. Within the scope of the study, 1, 3and 6-months lead time sc-PDSI values are predicted. We utilized the mean square error (MSE) and Nash–Sutcliffe efficiency coefficient (NSE) as performance indicators in order to perform statistical evaluation. For ANFIS, we obtained NSE = 0.52 and NSE = 0.17 for 3-month and 6-month lead times, respectively. Also, NSE values are obtained as 0.81 and 0.77 for the hybrid model in 3-month and 6-month lead time predictions, respectively. The results revealed that the hybrid EMD-ANFIS model outperforms the standalone ANFIS model. Also, the predicted and actual sc-PDSI series investigated according to the statistical distributions. At last, error histograms of both predicted and actual series are compared according to the Kolmogorov–Smirnov test and the p values are calculated. The results illustrated the predictions are statistically significant.\",\"bibtype\":\"article\",\"author\":\"Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer and Mohammadi, Babak\",\"doi\":\"10.1007/s11356-020-08666-8\",\"journal\":\"Environmental Science and Pollution Research\",\"number\":\"17\",\"bibtex\":\"@article{\\n title = {Letter to the editor “comparing artificial intelligence techniques for chlorophyll-a prediction in US lakes”},\\n type = {article},\\n year = {2020},\\n keywords = {Drought,EMD,Fuzzy logic,Prediction,Self-calibrated PDSI},\\n pages = {22131-22134},\\n volume = {27},\\n websites = {https://link.springer.com/10.1007/s11356-020-08666-8},\\n month = {6},\\n day = {12},\\n id = {4fe4a404-54b7-3e0d-847a-598fa0e8c05b},\\n created = {2020-10-24T23:59:00.000Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2023-04-02T02:50:04.634Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {false},\\n hidden = {false},\\n folder_uuids = {5b8365e6-031b-4dee-80a0-95c1b735e3a9},\\n private_publication = {false},\\n abstract = {© 2020, Springer Nature Switzerland AG. Drought is one of the most significant natural disaster and prediction of drought is a key aspect in effective management of water resources and reducing the effect of a drought with preliminary studies plays significant role. In this study, we predicted one of the meteorological drought indices, the self-calibrated Palmer Drought Severity Index (sc-PDSI), values for Adana, Turkey. First, we used adaptive neuro fuzzy inference system (ANFIS) as a standalone technique to predict sc-PDSI. Second, we used empirical mode decomposition (EMD) as a pre-processing technique to decompose the sc-PDSI time series into the sub-series and applied ANFIS to each sub-series. Following the prediction, results are summed each other and final prediction of the hybrid EMD-ANFIS method is obtained. Within the scope of the study, 1, 3and 6-months lead time sc-PDSI values are predicted. We utilized the mean square error (MSE) and Nash–Sutcliffe efficiency coefficient (NSE) as performance indicators in order to perform statistical evaluation. For ANFIS, we obtained NSE = 0.52 and NSE = 0.17 for 3-month and 6-month lead times, respectively. Also, NSE values are obtained as 0.81 and 0.77 for the hybrid model in 3-month and 6-month lead time predictions, respectively. The results revealed that the hybrid EMD-ANFIS model outperforms the standalone ANFIS model. Also, the predicted and actual sc-PDSI series investigated according to the statistical distributions. At last, error histograms of both predicted and actual series are compared according to the Kolmogorov–Smirnov test and the p values are calculated. The results illustrated the predictions are statistically significant.},\\n bibtype = {article},\\n author = {Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer and Mohammadi, Babak},\\n doi = {10.1007/s11356-020-08666-8},\\n journal = {Environmental Science and Pollution Research},\\n number = {17}\\n}\",\"author_short\":[\"Başakın,  E., E.\",\"Ekmekcioğlu,  Ö.\",\"Mohammadi,  B.\"],\"urls\":{\"Website\":\"https://link.springer.com/10.1007/s11356-020-08666-8\"},\"biburl\":\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c\",\"bibbaseid\":\"baakn-ekmekciolu-mohammadi-lettertotheeditorcomparingartificialintelligencetechniquesforchlorophyllapredictioninuslakes-2020\",\"role\":\"author\",\"keyword\":[\"Drought\",\"EMD\",\"Fuzzy logic\",\"Prediction\",\"Self-calibrated PDSI\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"District based flood risk assessment in Istanbul using fuzzy analytical hierarchy process\",\"type\":\"article\",\"year\":\"2020\",\"keywords\":\"District prioritization,Flood risk mapping,Fuzzy analytical hierarchy process,Istanbul,Sensitivity analysis,Vulnerability and hazard\",\"id\":\"9924798a-add7-3762-9b00-cf8713d67777\",\"created\":\"2020-11-05T23:59:00.000Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2024-12-11T04:53:55.229Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":false,\"hidden\":false,\"private_publication\":false,\"abstract\":\"© 2020, Springer-Verlag GmbH Germany, part of Springer Nature. Floods, among the most frequent and severe hazards in the world, threaten the sustainability of the built environment by causing immense damage to infrastructures, buildings, economies, social activities and beyond all, cause loss of lives. Istanbul is the most densely populated industrial, commercial and cultural center of Turkey. Besides, the population of Istanbul has increased over the last decade since the city attracts immigrants from all over Turkey, along with other countries. Therefore, it is vital to prioritize the districts of Istanbul by determining flood risk mitigation strategies since flood risk management is carried out at district level units in local municipalities in Istanbul. In this study, a new hierarchical procedure that consists of thirteen flood vulnerability and hazard criteria is proposed for the generation of Istanbul’s district-based flood risk map. To obtain the criteria weights the fuzzy analytical hierarchy process (AHP) was adopted. The sensitivity analysis conducted in this study reveals the stability and robustness of the proposed fuzzy AHP model. Among all the criteria, land use and the return period of a storm event were found as the most significant criteria for vulnerability and hazard clusters, respectively. Criteria weights calculated through the fuzzy AHP method were integrated with the data taken from various institutions with respect to each district to calculate risk scores of the districts. Consequently, district risk scores were used to generate a flood risk map of Istanbul. The findings show that high-risk districts are mainly at the center and highly populated areas of the city. Moreover, the accuracy of the proposed approach was validated through observations of the significant flood events experienced in the last two decades. Thus, the fuzzy AHP method can be considered as advantageous to make a quick and regional flood risk assessment. In addition, the proposed approach is useful to mitigate flood risk along with allocating a fair budget to the local municipalities for flood risk mitigation measures. The findings of this research could also provide useful procedures for professionals of the water resources and local authorities.\",\"bibtype\":\"article\",\"author\":\"Ekmekcioğlu, Ö. and Koc, K. and Özger, M.\",\"doi\":\"10.1007/s00477-020-01924-8\",\"journal\":\"Stochastic Environmental Research and Risk Assessment\",\"bibtex\":\"@article{\\n title = {District based flood risk assessment in Istanbul using fuzzy analytical hierarchy process},\\n type = {article},\\n year = {2020},\\n keywords = {District prioritization,Flood risk mapping,Fuzzy analytical hierarchy process,Istanbul,Sensitivity analysis,Vulnerability and hazard},\\n id = {9924798a-add7-3762-9b00-cf8713d67777},\\n created = {2020-11-05T23:59:00.000Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2024-12-11T04:53:55.229Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {false},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {© 2020, Springer-Verlag GmbH Germany, part of Springer Nature. Floods, among the most frequent and severe hazards in the world, threaten the sustainability of the built environment by causing immense damage to infrastructures, buildings, economies, social activities and beyond all, cause loss of lives. Istanbul is the most densely populated industrial, commercial and cultural center of Turkey. Besides, the population of Istanbul has increased over the last decade since the city attracts immigrants from all over Turkey, along with other countries. Therefore, it is vital to prioritize the districts of Istanbul by determining flood risk mitigation strategies since flood risk management is carried out at district level units in local municipalities in Istanbul. In this study, a new hierarchical procedure that consists of thirteen flood vulnerability and hazard criteria is proposed for the generation of Istanbul’s district-based flood risk map. To obtain the criteria weights the fuzzy analytical hierarchy process (AHP) was adopted. The sensitivity analysis conducted in this study reveals the stability and robustness of the proposed fuzzy AHP model. Among all the criteria, land use and the return period of a storm event were found as the most significant criteria for vulnerability and hazard clusters, respectively. Criteria weights calculated through the fuzzy AHP method were integrated with the data taken from various institutions with respect to each district to calculate risk scores of the districts. Consequently, district risk scores were used to generate a flood risk map of Istanbul. The findings show that high-risk districts are mainly at the center and highly populated areas of the city. Moreover, the accuracy of the proposed approach was validated through observations of the significant flood events experienced in the last two decades. Thus, the fuzzy AHP method can be considered as advantageous to make a quick and regional flood risk assessment. In addition, the proposed approach is useful to mitigate flood risk along with allocating a fair budget to the local municipalities for flood risk mitigation measures. The findings of this research could also provide useful procedures for professionals of the water resources and local authorities.},\\n bibtype = {article},\\n author = {Ekmekcioğlu, Ö. and Koc, K. and Özger, M.},\\n doi = {10.1007/s00477-020-01924-8},\\n journal = {Stochastic Environmental Research and Risk Assessment}\\n}\",\"author_short\":[\"Ekmekcioğlu,  Ö.\",\"Koc,  K.\",\"Özger,  M.\"],\"biburl\":\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c\",\"bibbaseid\":\"ekmekciolu-koc-zger-districtbasedfloodriskassessmentinistanbulusingfuzzyanalyticalhierarchyprocess-2020\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"District prioritization\",\"Flood risk mapping\",\"Fuzzy analytical hierarchy process\",\"Istanbul\",\"Sensitivity analysis\",\"Vulnerability and hazard\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Discharge coefficient equation to calculate the leakage from pipe networks\",\"type\":\"article\",\"year\":\"2020\",\"keywords\":\"0000-0001-9812-9918,0000-0002-7144- 2338,0000-0002-9045-5302,civil engineering department,discharge coefficient,eyyup ensar başakin,hydraulics division,istanbul,leakage,maslak 34469,mehmet özger,orcid id,orifice,technical university,turkey,water distribution network,ömer ekmekci̇oğlu\",\"pages\":\"1737-1746\",\"volume\":\"10\",\"id\":\"7c09d721-9bee-3dc1-a826-131f64bea165\",\"created\":\"2020-12-14T11:54:59.198Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2022-03-17T14:58:11.090Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"folder_uuids\":\"5b8365e6-031b-4dee-80a0-95c1b735e3a9\",\"private_publication\":false,\"bibtype\":\"article\",\"author\":\"EKMEKCİOĞLU, Ömer and BAŞAKIN, Eyyup Ensar and ÖZGER, Mehmet\",\"doi\":\"10.21597/jist.675015\",\"journal\":\"Journal of the Institute of Science and 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(SWMM)\",\"type\":\"article\",\"year\":\"2021\",\"pages\":\"2194-2213\",\"volume\":\"84\",\"websites\":\"https://iwaponline.com/wst/article/84/9/2194/84443/Investigation-of-the-low-impact-development\",\"month\":\"11\",\"day\":\"1\",\"id\":\"a4b6fe7d-88f6-38d2-9083-70e41acca7ae\",\"created\":\"2022-03-17T14:58:09.500Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2022-03-17T14:58:09.500Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"This study aims to investigate the effectiveness of the low impact development (LID) practices on sustainable urban flood storm water management. We applied three LID techniques, i.e. green roof, permeable pavements and bioretention cells, on a highly urbanized watershed in Istanbul, Turkey. The EPA-SWMM was used as a hydrologic-hydraulic model and the model calibration was performed by the well-known Parameter ESTimation (PEST) tool. The rainfall-runoff events occurred between 2012 and 2020. A sensitivity analysis on the parameter selection was applied to reduce the computational cost. The Nash-Sutcliffe efficiency coefficient (NSE) was used as the objective function and it was calculated as 0.809 in the model calibration. The simulations were conducted for six different return periods of a storm event, i.e. 2, 5, 10, 25, 50 and 100 years, in which the synthetic storm event hyetographs were produced by means of the alternating block method. The results revealed that the combination of green roof and permeable pavements have the major impact on both the peak flood reduction and runoff volume reduction compared to the single LIDs. The maximum runoff reduction percentage was obtained as 56.02% for a 10 years return period of a storm event in the combination scenario.\",\"bibtype\":\"article\",\"author\":\"Ekmekcioğlu, Ömer and Yılmaz, Muhammet and Özger, Mehmet and Tosunoğlu, Fatih\",\"doi\":\"10.2166/wst.2021.432\",\"journal\":\"Water Science and Technology\",\"number\":\"9\",\"bibtex\":\"@article{\\n title = {Investigation of the low impact development strategies for highly urbanized area via auto-calibrated Storm Water Management Model (SWMM)},\\n type = {article},\\n year = {2021},\\n pages = {2194-2213},\\n volume = {84},\\n websites = {https://iwaponline.com/wst/article/84/9/2194/84443/Investigation-of-the-low-impact-development},\\n month = {11},\\n day = {1},\\n id = {a4b6fe7d-88f6-38d2-9083-70e41acca7ae},\\n created = {2022-03-17T14:58:09.500Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2022-03-17T14:58:09.500Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {This study aims to investigate the effectiveness of the low impact development (LID) practices on sustainable urban flood storm water management. We applied three LID techniques, i.e. green roof, permeable pavements and bioretention cells, on a highly urbanized watershed in Istanbul, Turkey. The EPA-SWMM was used as a hydrologic-hydraulic model and the model calibration was performed by the well-known Parameter ESTimation (PEST) tool. The rainfall-runoff events occurred between 2012 and 2020. A sensitivity analysis on the parameter selection was applied to reduce the computational cost. The Nash-Sutcliffe efficiency coefficient (NSE) was used as the objective function and it was calculated as 0.809 in the model calibration. The simulations were conducted for six different return periods of a storm event, i.e. 2, 5, 10, 25, 50 and 100 years, in which the synthetic storm event hyetographs were produced by means of the alternating block method. 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scarcity\",\"pages\":\"104195\",\"volume\":\"87\",\"websites\":\"https://linkinghub.elsevier.com/retrieve/pii/S221067072200508X\",\"month\":\"12\",\"id\":\"354c48fc-0839-31a3-9e31-17eef7b06716\",\"created\":\"2022-12-22T04:32:02.258Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2023-04-02T02:50:04.621Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"This study was undertaken to be a remedy to urban water scarcity phenomena having escalated consequences with the contemporaneous effects of climate change and over-urbanization. Hence, a broad list of mitigation strategies comprising 44 action plans under seven dimensions was assessed depending upon five constraints (i.e., cost-effectiveness, time/effort required, feasibility, primary benefit, and secondary benefits). To realize the overarching aim of this research, the analytical hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) each subjected to the fuzzy set theory were employed. In this regard, the fuzzy AHP was utilized for determining the weights of constraining criteria, while the prioritization of the strategies was performed via the fuzzy TOPSIS. The results revealed that the primary benefit is the most prevailing criterion compared to its counterparts. In addition, procuring organized land use planning and limiting new growth in urban areas was found as the most promising strategy to combat urban water scarcity phenomena. The findings further highlighted the effectiveness of conducting integrated water resource planning against climate change and fostering the use of sustainable materials domestically in not only mitigating urban water scarcity but also increasing the resiliency and sustainability of the urbanized cities.\",\"bibtype\":\"article\",\"author\":\"Ekmekcioğlu, Ömer and Koc, Kerim and Dabanli, Ismail and Deniz, Ali\",\"doi\":\"10.1016/j.scs.2022.104195\",\"journal\":\"Sustainable Cities and Society\",\"number\":\"July\",\"bibtex\":\"@article{\\n title = {Prioritizing urban water scarcity mitigation strategies based on hybrid multi-criteria decision approach under fuzzy environment},\\n type = {article},\\n year = {2022},\\n keywords = {Fuzzy ahp,Fuzzy topsis,Multi criteria decision making (mcdm),Resilient cities,Strategy prioritization,Urban water scarcity},\\n pages = {104195},\\n volume = {87},\\n websites = {https://linkinghub.elsevier.com/retrieve/pii/S221067072200508X},\\n month = {12},\\n id = {354c48fc-0839-31a3-9e31-17eef7b06716},\\n created = {2022-12-22T04:32:02.258Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2023-04-02T02:50:04.621Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {This study was undertaken to be a remedy to urban water scarcity phenomena having escalated consequences with the contemporaneous effects of climate change and over-urbanization. Hence, a broad list of mitigation strategies comprising 44 action plans under seven dimensions was assessed depending upon five constraints (i.e., cost-effectiveness, time/effort required, feasibility, primary benefit, and secondary benefits). To realize the overarching aim of this research, the analytical hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) each subjected to the fuzzy set theory were employed. In this regard, the fuzzy AHP was utilized for determining the weights of constraining criteria, while the prioritization of the strategies was performed via the fuzzy TOPSIS. The results revealed that the primary benefit is the most prevailing criterion compared to its counterparts. In addition, procuring organized land use planning and limiting new growth in urban areas was found as the most promising strategy to combat urban water scarcity phenomena. The findings further highlighted the effectiveness of conducting integrated water resource planning against climate change and fostering the use of sustainable materials domestically in not only mitigating urban water scarcity but also increasing the resiliency and sustainability of the urbanized cities.},\\n bibtype = {article},\\n author = {Ekmekcioğlu, Ömer and Koc, Kerim and Dabanli, Ismail and Deniz, Ali},\\n doi = {10.1016/j.scs.2022.104195},\\n journal = {Sustainable Cities and Society},\\n number = {July}\\n}\",\"author_short\":[\"Ekmekcioğlu,  Ö.\",\"Koc,  K.\",\"Dabanli,  I.\",\"Deniz,  A.\"],\"urls\":{\"Website\":\"https://linkinghub.elsevier.com/retrieve/pii/S221067072200508X\"},\"biburl\":\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c\",\"bibbaseid\":\"ekmekciolu-koc-dabanli-deniz-prioritizingurbanwaterscarcitymitigationstrategiesbasedonhybridmulticriteriadecisionapproachunderfuzzyenvironment-2022\",\"role\":\"author\",\"keyword\":[\"Fuzzy ahp\",\"Fuzzy topsis\",\"Multi criteria decision making (mcdm)\",\"Resilient cities\",\"Strategy prioritization\",\"Urban water scarcity\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"A multi-perspective input selection strategy for daily net ecosystem exchange predictions based on machine learning methods\",\"type\":\"article\",\"year\":\"2023\",\"pages\":\"81-98\",\"volume\":\"151\",\"websites\":\"https://link.springer.com/10.1007/s00704-022-04265-4\",\"month\":\"1\",\"publisher\":\"Springer Vienna\",\"day\":\"9\",\"id\":\"49ffcf5c-95fb-362c-adf0-6e000ca30cca\",\"created\":\"2022-12-24T05:28:08.882Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2023-04-02T02:50:04.643Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"bibtype\":\"article\",\"author\":\"Ekmekcioğlu, Ömer and Başakın, Eyyup Ensar and Altınbaş, Nilcan and Özger, Mehmet and Yeşilköy, Serhan and Şaylan, Levent\",\"doi\":\"10.1007/s00704-022-04265-4\",\"journal\":\"Theoretical and Applied Climatology\",\"number\":\"1-2\",\"bibtex\":\"@article{\\n title = {A multi-perspective input selection strategy for daily net ecosystem exchange predictions based on machine learning methods},\\n type = {article},\\n year = {2023},\\n pages = {81-98},\\n volume = {151},\\n websites = {https://link.springer.com/10.1007/s00704-022-04265-4},\\n month = {1},\\n publisher = {Springer Vienna},\\n day = {9},\\n id = {49ffcf5c-95fb-362c-adf0-6e000ca30cca},\\n created = {2022-12-24T05:28:08.882Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2023-04-02T02:50:04.643Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n bibtype = {article},\\n author = {Ekmekcioğlu, Ömer and Başakın, Eyyup Ensar and Altınbaş, Nilcan and Özger, Mehmet and Yeşilköy, Serhan and Şaylan, Levent},\\n doi = {10.1007/s00704-022-04265-4},\\n journal = {Theoretical and Applied Climatology},\\n number = {1-2}\\n}\",\"author_short\":[\"Ekmekcioğlu,  Ö.\",\"Başakın,  E., E.\",\"Altınbaş,  N.\",\"Özger,  M.\",\"Yeşilköy,  S.\",\"Şaylan,  L.\"],\"urls\":{\"Website\":\"https://link.springer.com/10.1007/s00704-022-04265-4\"},\"biburl\":\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c\",\"bibbaseid\":\"ekmekciolu-baakn-altnba-zger-yeilky-aylan-amultiperspectiveinputselectionstrategyfordailynetecosystemexchangepredictionsbasedonmachinelearningmethods-2023\",\"role\":\"author\",\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Drought prediction using hybrid soft-computing methods for semi-arid region\",\"type\":\"article\",\"year\":\"2021\",\"keywords\":\"Drought,EMD,Fuzzy logic,Prediction,Self-calibrated PDSI\",\"pages\":\"2363-2371\",\"volume\":\"7\",\"websites\":\"https://doi.org/10.1007/s40808-020-01010-6\",\"publisher\":\"Springer International Publishing\",\"id\":\"047f71a7-b975-365a-b357-c0407fef5167\",\"created\":\"2023-01-21T07:47:37.294Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2023-04-02T02:50:04.630Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"folder_uuids\":\"ae9cd4e8-5485-47d2-b554-9cfaef8dd381\",\"private_publication\":false,\"abstract\":\"Drought is one of the most significant natural disaster and prediction of drought is a key aspect in effective management of water resources and reducing the effect of a drought with preliminary studies plays significant role. In this study, we predicted one of the meteorological drought indices, the self-calibrated Palmer Drought Severity Index (sc-PDSI), values for Adana, Turkey. First, we used adaptive neuro fuzzy inference system (ANFIS) as a standalone technique to predict sc-PDSI. Second, we used empirical mode decomposition (EMD) as a pre-processing technique to decompose the sc-PDSI time series into the sub-series and applied ANFIS to each sub-series. Following the prediction, results are summed each other and final prediction of the hybrid EMD-ANFIS method is obtained. Within the scope of the study, 1, 3and 6-months lead time sc-PDSI values are predicted. We utilized the mean square error (MSE) and Nash–Sutcliffe efficiency coefficient (NSE) as performance indicators in order to perform statistical evaluation. For ANFIS, we obtained NSE = 0.52 and NSE = 0.17 for 3-month and 6-month lead times, respectively. Also, NSE values are obtained as 0.81 and 0.77 for the hybrid model in 3-month and 6-month lead time predictions, respectively. The results revealed that the hybrid EMD-ANFIS model outperforms the standalone ANFIS model. Also, the predicted and actual sc-PDSI series investigated according to the statistical distributions. At last, error histograms of both predicted and actual series are compared according to the Kolmogorov–Smirnov test and the p values are calculated. The results illustrated the predictions are statistically significant.\",\"bibtype\":\"article\",\"author\":\"Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer and Özger, Mehmet\",\"doi\":\"10.1007/s40808-020-01010-6\",\"journal\":\"Modeling Earth Systems and Environment\",\"number\":\"4\",\"bibtex\":\"@article{\\n title = {Drought prediction using hybrid soft-computing methods for semi-arid region},\\n type = {article},\\n year = {2021},\\n keywords = {Drought,EMD,Fuzzy logic,Prediction,Self-calibrated PDSI},\\n pages = {2363-2371},\\n volume = {7},\\n websites = {https://doi.org/10.1007/s40808-020-01010-6},\\n publisher = {Springer International Publishing},\\n id = {047f71a7-b975-365a-b357-c0407fef5167},\\n created = {2023-01-21T07:47:37.294Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2023-04-02T02:50:04.630Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n folder_uuids = {ae9cd4e8-5485-47d2-b554-9cfaef8dd381},\\n private_publication = {false},\\n abstract = {Drought is one of the most significant natural disaster and prediction of drought is a key aspect in effective management of water resources and reducing the effect of a drought with preliminary studies plays significant role. In this study, we predicted one of the meteorological drought indices, the self-calibrated Palmer Drought Severity Index (sc-PDSI), values for Adana, Turkey. First, we used adaptive neuro fuzzy inference system (ANFIS) as a standalone technique to predict sc-PDSI. Second, we used empirical mode decomposition (EMD) as a pre-processing technique to decompose the sc-PDSI time series into the sub-series and applied ANFIS to each sub-series. Following the prediction, results are summed each other and final prediction of the hybrid EMD-ANFIS method is obtained. Within the scope of the study, 1, 3and 6-months lead time sc-PDSI values are predicted. We utilized the mean square error (MSE) and Nash–Sutcliffe efficiency coefficient (NSE) as performance indicators in order to perform statistical evaluation. For ANFIS, we obtained NSE = 0.52 and NSE = 0.17 for 3-month and 6-month lead times, respectively. Also, NSE values are obtained as 0.81 and 0.77 for the hybrid model in 3-month and 6-month lead time predictions, respectively. The results revealed that the hybrid EMD-ANFIS model outperforms the standalone ANFIS model. Also, the predicted and actual sc-PDSI series investigated according to the statistical distributions. At last, error histograms of both predicted and actual series are compared according to the Kolmogorov–Smirnov test and the p values are calculated. The results illustrated the predictions are statistically significant.},\\n bibtype = {article},\\n author = {Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer and Özger, Mehmet},\\n doi = {10.1007/s40808-020-01010-6},\\n journal = {Modeling Earth Systems and Environment},\\n number = {4}\\n}\",\"author_short\":[\"Başakın,  E., E.\",\"Ekmekcioğlu,  Ö.\",\"Özger,  M.\"],\"urls\":{\"Website\":\"https://doi.org/10.1007/s40808-020-01010-6\"},\"biburl\":\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c\",\"bibbaseid\":\"baakn-ekmekciolu-zger-droughtpredictionusinghybridsoftcomputingmethodsforsemiaridregion-2021\",\"role\":\"author\",\"keyword\":[\"Drought\",\"EMD\",\"Fuzzy logic\",\"Prediction\",\"Self-calibrated PDSI\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Multi-criteria analysis of barriers to building information modeling (BIM) adoption for SMEs in New Zealand construction industry\",\"type\":\"article\",\"year\":\"2022\",\"keywords\":\"Analytical hierarchy process,Building information modeling,Digitalization,Digitization,Innovation,Small to medium enterprises\",\"websites\":\"https://www.emerald.com/insight/content/doi/10.1108/ECAM-03-2022-0215/full/html\",\"month\":\"6\",\"day\":\"28\",\"id\":\"7212fd5b-b1b6-3e5a-8c34-177c8349dd48\",\"created\":\"2023-04-02T02:50:03.869Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2023-04-02T02:50:03.869Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"Purpose: Building information modeling (BIM) is a prominent concept to digitalize data collection and analysis processes. Small and medium-sized enterprises (SMEs) account for a considerable percentage of the works performed in the construction industry. The adoption rate of BIM by SMEs is still, however, not at the desired level in the New Zealand construction industry. This study aims to evaluate barriers to BIM implementation for SMEs in the New Zealand construction industry. Design/methodology/approach: This study adopted four-step methodology to evaluate barriers to BIM adoption for SMEs. First, a comprehensive literature review, followed by a focus group discussion was performed to identify barriers to BIM adoption. Then, analytical hierarchy process (AHP) was used to assess identified barriers. Finally, experts’ agreements (both internal and external) were ensured by consistency analysis and Kendall’s coefficient of concordance (Kendall’s W) tests. Findings: The findings indicate that (1) interoperability between software platforms, (2) lack of government mandate on BIM usage at project level, (3) high cost of acquiring the software and licensing required to use BIM and (4) lack of client demand for adopting BIM were the most significant barriers in terms of technological, governmental, resource and cultural categories, respectively. Further investigation of the expert evaluation showed strong consistencies (each expert separately) and agreements (among experts) in each AHP matrix. Practical implications: Primary focus should be training of local market (particularly SMEs) professionals as the shortage in qualified professionals makes the country-wide adoption challenging. The publicity in the local market can help SMEs understand how BIM is leveraged for further improvements in project performance. Originality/value: Overall, this research not only provides a roadmap for the widespread adoption of BIM within SMEs in New Zealand through analysis of the barriers encountered but also highlights the power that policymakers hold over the mass adoption of BIM within SMEs.\",\"bibtype\":\"article\",\"author\":\"Hall, Andrew Thomas and Durdyev, Serdar and Koc, Kerim and Ekmekcioglu, Omer and Tupenaite, Laura\",\"doi\":\"10.1108/ECAM-03-2022-0215\",\"journal\":\"Engineering, Construction and Architectural Management\",\"bibtex\":\"@article{\\n title = {Multi-criteria analysis of barriers to building information modeling (BIM) adoption for SMEs in New Zealand construction industry},\\n type = {article},\\n year = {2022},\\n keywords = {Analytical hierarchy process,Building information modeling,Digitalization,Digitization,Innovation,Small to medium enterprises},\\n websites = {https://www.emerald.com/insight/content/doi/10.1108/ECAM-03-2022-0215/full/html},\\n month = {6},\\n day = {28},\\n id = {7212fd5b-b1b6-3e5a-8c34-177c8349dd48},\\n created = {2023-04-02T02:50:03.869Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2023-04-02T02:50:03.869Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {Purpose: Building information modeling (BIM) is a prominent concept to digitalize data collection and analysis processes. Small and medium-sized enterprises (SMEs) account for a considerable percentage of the works performed in the construction industry. The adoption rate of BIM by SMEs is still, however, not at the desired level in the New Zealand construction industry. This study aims to evaluate barriers to BIM implementation for SMEs in the New Zealand construction industry. Design/methodology/approach: This study adopted four-step methodology to evaluate barriers to BIM adoption for SMEs. First, a comprehensive literature review, followed by a focus group discussion was performed to identify barriers to BIM adoption. Then, analytical hierarchy process (AHP) was used to assess identified barriers. Finally, experts’ agreements (both internal and external) were ensured by consistency analysis and Kendall’s coefficient of concordance (Kendall’s W) tests. Findings: The findings indicate that (1) interoperability between software platforms, (2) lack of government mandate on BIM usage at project level, (3) high cost of acquiring the software and licensing required to use BIM and (4) lack of client demand for adopting BIM were the most significant barriers in terms of technological, governmental, resource and cultural categories, respectively. Further investigation of the expert evaluation showed strong consistencies (each expert separately) and agreements (among experts) in each AHP matrix. Practical implications: Primary focus should be training of local market (particularly SMEs) professionals as the shortage in qualified professionals makes the country-wide adoption challenging. The publicity in the local market can help SMEs understand how BIM is leveraged for further improvements in project performance. Originality/value: Overall, this research not only provides a roadmap for the widespread adoption of BIM within SMEs in New Zealand through analysis of the barriers encountered but also highlights the power that policymakers hold over the mass adoption of BIM within SMEs.},\\n bibtype = {article},\\n author = {Hall, Andrew Thomas and Durdyev, Serdar and Koc, Kerim and Ekmekcioglu, Omer and Tupenaite, Laura},\\n doi = {10.1108/ECAM-03-2022-0215},\\n journal = {Engineering, Construction and Architectural Management}\\n}\",\"author_short\":[\"Hall,  A., T.\",\"Durdyev,  S.\",\"Koc,  K.\",\"Ekmekcioglu,  O.\",\"Tupenaite,  L.\"],\"urls\":{\"Website\":\"https://www.emerald.com/insight/content/doi/10.1108/ECAM-03-2022-0215/full/html\"},\"biburl\":\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c\",\"bibbaseid\":\"hall-durdyev-koc-ekmekcioglu-tupenaite-multicriteriaanalysisofbarrierstobuildinginformationmodelingbimadoptionforsmesinnewzealandconstructionindustry-2022\",\"role\":\"author\",\"keyword\":[\"Analytical hierarchy process\",\"Building information modeling\",\"Digitalization\",\"Digitization\",\"Innovation\",\"Small to medium enterprises\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Developing a novel approach for missing data imputation of solar radiation: A hybrid differential evolution algorithm based eXtreme gradient boosting model\",\"type\":\"article\",\"year\":\"2023\",\"keywords\":\"Differential evolution,Extreme gradient boosting,Meteorological measurements,Missing data imputation,Solar radiation\",\"volume\":\"280\",\"id\":\"0498256c-ea0c-3c8f-8f58-9911b98dc048\",\"created\":\"2023-04-02T02:50:03.882Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2023-04-02T02:50:03.882Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"Having sufficient and qualified datasets is of paramount importance in terms of understanding the internal dynamics of the nature-related phenomenon. Given the necessity to maintain the completeness of the datasets, this study introduced a novel technique containing the implementation of machine learning algorithms and a meta-heuristic optimization algorithm for imputing the gaps encountered in measurements of solar radiation which is one of the crucial meteorological variables in terms of not only climate dynamics but also energy technologies. To accomplish this aim, four different gap sizes, i.e., 5 %, 10 %, 20 %, and 30 %, have synthetically been constituted and the applicability of the extreme gradient boosting (XGBoost) configured by the differential evolution (DE) was examined for each gap size. The corresponding model was benchmarked with conventional interpolation techniques (i.e., linear and spline optimizations) and other widely applied ML algorithms (i.e., random forest and multivariate adaptive regression splines). A multi-perspective input selection strategy was considered to model the missing values based on correlation coefficients under three scenarios encompassing a total of 14 different models. The results revealed that the XGBoost-DE model generated with the solar radiation measurements of neighboring stations was found as the best-performed model in all gap sizes, i.e., 5 % (NSE: 0.950; KGE: 0.967), 10 % (NSE:0.934; KGE: 0.962), and 30 % (NSE: 0.939; KGE: 0.957), but 20 % which the highest accuracy was obtained with the RF (NSE: 0.944; KGE: 0.966). On the other hand, the interpolation techniques had the lowest accuracies among their counterparts in imputation attempts with respect to all gap size alternatives.\",\"bibtype\":\"article\",\"author\":\"Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer and Özger, Mehmet\",\"doi\":\"10.1016/j.enconman.2023.116780\",\"journal\":\"Energy Conversion and Management\",\"number\":\"February\",\"bibtex\":\"@article{\\n title = {Developing a novel approach for missing data imputation of solar radiation: A hybrid differential evolution algorithm based eXtreme gradient boosting model},\\n type = {article},\\n year = {2023},\\n keywords = {Differential evolution,Extreme gradient boosting,Meteorological measurements,Missing data imputation,Solar radiation},\\n volume = {280},\\n id = {0498256c-ea0c-3c8f-8f58-9911b98dc048},\\n created = {2023-04-02T02:50:03.882Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2023-04-02T02:50:03.882Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {Having sufficient and qualified datasets is of paramount importance in terms of understanding the internal dynamics of the nature-related phenomenon. Given the necessity to maintain the completeness of the datasets, this study introduced a novel technique containing the implementation of machine learning algorithms and a meta-heuristic optimization algorithm for imputing the gaps encountered in measurements of solar radiation which is one of the crucial meteorological variables in terms of not only climate dynamics but also energy technologies. To accomplish this aim, four different gap sizes, i.e., 5 %, 10 %, 20 %, and 30 %, have synthetically been constituted and the applicability of the extreme gradient boosting (XGBoost) configured by the differential evolution (DE) was examined for each gap size. The corresponding model was benchmarked with conventional interpolation techniques (i.e., linear and spline optimizations) and other widely applied ML algorithms (i.e., random forest and multivariate adaptive regression splines). A multi-perspective input selection strategy was considered to model the missing values based on correlation coefficients under three scenarios encompassing a total of 14 different models. The results revealed that the XGBoost-DE model generated with the solar radiation measurements of neighboring stations was found as the best-performed model in all gap sizes, i.e., 5 % (NSE: 0.950; KGE: 0.967), 10 % (NSE:0.934; KGE: 0.962), and 30 % (NSE: 0.939; KGE: 0.957), but 20 % which the highest accuracy was obtained with the RF (NSE: 0.944; KGE: 0.966). On the other hand, the interpolation techniques had the lowest accuracies among their counterparts in imputation attempts with respect to all gap size alternatives.},\\n bibtype = {article},\\n author = {Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer and Özger, Mehmet},\\n doi = {10.1016/j.enconman.2023.116780},\\n journal = {Energy Conversion and Management},\\n number = {February}\\n}\",\"author_short\":[\"Başakın,  E., E.\",\"Ekmekcioğlu,  Ö.\",\"Özger,  M.\"],\"biburl\":\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c\",\"bibbaseid\":\"baakn-ekmekciolu-zger-developinganovelapproachformissingdataimputationofsolarradiationahybriddifferentialevolutionalgorithmbasedextremegradientboostingmodel-2023\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Differential evolution\",\"Extreme gradient boosting\",\"Meteorological measurements\",\"Missing data imputation\",\"Solar radiation\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Developing a probabilistic decision-making model for reinforced sustainable supplier selection\",\"type\":\"article\",\"year\":\"2023\",\"keywords\":\"Construction industry,Innovation,Knowledge management,Lean principles,Probabilistic multi-criteria decision-making,Sustainable supply chain management\",\"volume\":\"259\",\"id\":\"e6213727-1338-33a1-980c-5c7f0284b9ea\",\"created\":\"2023-04-02T02:50:03.999Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2023-04-02T02:50:03.999Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"The competitive environment and recent regulations require corporations to implement sustainable and reinforced solutions in their business operations and, thereby, sustainable supplier selection (SSS) has become a critical concern of companies. This study introduces a neoteric approach by extending the SSS framework containing the three widespread indicators, i.e., economic, social, and environmental sustainability dimensions (S), with additional three genuine aspects such as innovation (I), lean principles (L), and knowledge management (K), namely the S-ILK framework. To deal with probabilistic uncertainty, a novel Monte Carlo (MC) aided hybrid multi-criteria decision analysis model was constructed. MC simulation with Beta-PERT distribution was integrated with the Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) to identify criteria weights and perform supplier evaluations, respectively. Hence, criteria weights and supplier evaluation scores were illustrated as probability density plots instead of crisp values with MC aided decision-making model. The findings emphasized the role of economic sustainability and knowledge management capabilities of suppliers, which require a diligent investigation of life cycle cost of production and quality of knowledge management systems of suppliers. This study contributes to theory by highlighting interpersonal uncertainty through MC simulation and to practice by informing industry professionals about urgent needs for focusing on the innovation, knowledge management, and lean capabilities of suppliers. The proposed S-ILK framework can be regarded as a roadmap for companies to enhance their sustainability performance with innovative solutions, increased data quality, and continuous improvement with lean principles.\",\"bibtype\":\"article\",\"author\":\"Koc, Kerim and Ekmekcioğlu, Ömer and Işık, Zeynep\",\"doi\":\"10.1016/j.ijpe.2023.108820\",\"journal\":\"International Journal of Production Economics\",\"number\":\"April 2022\",\"bibtex\":\"@article{\\n title = {Developing a probabilistic decision-making model for reinforced sustainable supplier selection},\\n type = {article},\\n year = {2023},\\n keywords = {Construction industry,Innovation,Knowledge management,Lean principles,Probabilistic multi-criteria decision-making,Sustainable supply chain management},\\n volume = {259},\\n id = {e6213727-1338-33a1-980c-5c7f0284b9ea},\\n created = {2023-04-02T02:50:03.999Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2023-04-02T02:50:03.999Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {The competitive environment and recent regulations require corporations to implement sustainable and reinforced solutions in their business operations and, thereby, sustainable supplier selection (SSS) has become a critical concern of companies. This study introduces a neoteric approach by extending the SSS framework containing the three widespread indicators, i.e., economic, social, and environmental sustainability dimensions (S), with additional three genuine aspects such as innovation (I), lean principles (L), and knowledge management (K), namely the S-ILK framework. To deal with probabilistic uncertainty, a novel Monte Carlo (MC) aided hybrid multi-criteria decision analysis model was constructed. MC simulation with Beta-PERT distribution was integrated with the Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) to identify criteria weights and perform supplier evaluations, respectively. Hence, criteria weights and supplier evaluation scores were illustrated as probability density plots instead of crisp values with MC aided decision-making model. The findings emphasized the role of economic sustainability and knowledge management capabilities of suppliers, which require a diligent investigation of life cycle cost of production and quality of knowledge management systems of suppliers. This study contributes to theory by highlighting interpersonal uncertainty through MC simulation and to practice by informing industry professionals about urgent needs for focusing on the innovation, knowledge management, and lean capabilities of suppliers. The proposed S-ILK framework can be regarded as a roadmap for companies to enhance their sustainability performance with innovative solutions, increased data quality, and continuous improvement with lean principles.},\\n bibtype = {article},\\n author = {Koc, Kerim and Ekmekcioğlu, Ömer and Işık, Zeynep},\\n doi = {10.1016/j.ijpe.2023.108820},\\n journal = {International Journal of Production Economics},\\n number = {April 2022}\\n}\",\"author_short\":[\"Koc,  K.\",\"Ekmekcioğlu,  Ö.\",\"Işık,  Z.\"],\"biburl\":\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c\",\"bibbaseid\":\"koc-ekmekciolu-ik-developingaprobabilisticdecisionmakingmodelforreinforcedsustainablesupplierselection-2023\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"Construction industry\",\"Innovation\",\"Knowledge management\",\"Lean principles\",\"Probabilistic multi-criteria decision-making\",\"Sustainable supply chain management\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Developing a National Data-Driven Construction Safety Management Framework with Interpretable Fatal Accident Prediction\",\"type\":\"article\",\"year\":\"2023\",\"volume\":\"149\",\"websites\":\"https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-12848\",\"month\":\"4\",\"id\":\"f1086054-daaa-3f3f-86b2-181a2e6a236e\",\"created\":\"2023-04-02T02:50:04.033Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2024-03-02T06:37:21.171Z\",\"read\":\"true\",\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"AbstractOccupational accidents are frequent in the construction industry, containing significant risks in the working environment. Therefore, early designation, taking preventive actions, and devel...\",\"bibtype\":\"article\",\"author\":\"Koc, Kerim and Ekmekcioğlu, Ömer and Gurgun, Asli Pelin\",\"doi\":\"10.1061/JCEMD4.COENG-12848\",\"journal\":\"Journal of Construction Engineering and Management\",\"number\":\"4\",\"bibtex\":\"@article{\\n title = {Developing a National Data-Driven Construction Safety Management Framework with Interpretable Fatal Accident Prediction},\\n type = {article},\\n year = {2023},\\n volume = {149},\\n websites = {https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-12848},\\n month = {4},\\n id = {f1086054-daaa-3f3f-86b2-181a2e6a236e},\\n created = {2023-04-02T02:50:04.033Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2024-03-02T06:37:21.171Z},\\n read = {true},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {AbstractOccupational accidents are frequent in the construction industry, containing significant risks in the working environment. Therefore, early designation, taking preventive actions, and devel...},\\n bibtype = {article},\\n author = {Koc, Kerim and Ekmekcioğlu, Ömer and Gurgun, Asli Pelin},\\n doi = {10.1061/JCEMD4.COENG-12848},\\n journal = {Journal of Construction Engineering and Management},\\n number = {4}\\n}\",\"author_short\":[\"Koc,  K.\",\"Ekmekcioğlu,  Ö.\",\"Gurgun,  A., P.\"],\"urls\":{\"Website\":\"https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-12848\"},\"biburl\":\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c\",\"bibbaseid\":\"koc-ekmekciolu-gurgun-developinganationaldatadrivenconstructionsafetymanagementframeworkwithinterpretablefatalaccidentprediction-2023\",\"role\":\"author\",\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Estimation of daily reference evapotranspiration by hybrid singular spectrum analysis-based stochastic gradient boosting\",\"type\":\"article\",\"year\":\"2023\",\"keywords\":\"\\\"Reference evapotranspiration\\\",\\\"estimation\\\",\\\"singular spectrum analysis\\\",\\\"stochastic gradient boosting\\\"\",\"pages\":\"102163\",\"websites\":\"https://doi.org/10.1016/j.mex.2023.102163\",\"publisher\":\"Elsevier B.V.\",\"id\":\"906b1c49-ce1c-32f2-bba5-510f7c356b9c\",\"created\":\"2023-04-02T02:50:04.092Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2023-04-02T02:50:04.092Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":false,\"hidden\":false,\"private_publication\":false,\"bibtype\":\"article\",\"author\":\"Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer and Stoy, Paul C and Özger, Mehmet\",\"doi\":\"10.1016/j.mex.2023.102163\",\"journal\":\"MethodsX\",\"bibtex\":\"@article{\\n title = {Estimation of daily reference evapotranspiration by hybrid singular spectrum analysis-based stochastic gradient boosting},\\n type = {article},\\n year = {2023},\\n keywords = {\\\"Reference evapotranspiration\\\",\\\"estimation\\\",\\\"singular spectrum analysis\\\",\\\"stochastic gradient boosting\\\"},\\n pages = {102163},\\n websites = {https://doi.org/10.1016/j.mex.2023.102163},\\n publisher = {Elsevier B.V.},\\n id = {906b1c49-ce1c-32f2-bba5-510f7c356b9c},\\n created = {2023-04-02T02:50:04.092Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2023-04-02T02:50:04.092Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {false},\\n hidden = {false},\\n private_publication = {false},\\n bibtype = {article},\\n author = {Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer and Stoy, Paul C and Özger, Mehmet},\\n doi = {10.1016/j.mex.2023.102163},\\n journal = {MethodsX}\\n}\",\"author_short\":[\"Başakın,  E., E.\",\"Ekmekcioğlu,  Ö.\",\"Stoy,  P., C.\",\"Özger,  M.\"],\"urls\":{\"Website\":\"https://doi.org/10.1016/j.mex.2023.102163\"},\"biburl\":\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c\",\"bibbaseid\":\"baakn-ekmekciolu-stoy-zger-estimationofdailyreferenceevapotranspirationbyhybridsingularspectrumanalysisbasedstochasticgradientboosting-2023\",\"role\":\"author\",\"keyword\":[\"\\\"Reference evapotranspiration\\\"\",\"\\\"estimation\\\"\",\"\\\"singular spectrum analysis\\\"\",\"\\\"stochastic gradient boosting\\\"\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"A hybrid MCDA approach for delineating sites suitable for artificial groundwater recharge using drywells\",\"type\":\"article\",\"year\":\"2023\",\"keywords\":\"managed aquifer recharge\",\"pages\":\"129387\",\"volume\":\"620\",\"id\":\"71934339-1d83-3664-b1fb-b4d5add862ef\",\"created\":\"2023-04-02T02:50:04.108Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2023-04-02T02:50:04.108Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"bibtype\":\"article\",\"author\":\"Mohamed Mouhoumed, Rachid and Ekmekcioğlu, Ömer and Özger, Mehmet\",\"doi\":\"10.1016/j.jhydrol.2023.129387\",\"journal\":\"Journal of Hydrology\",\"number\":\"January\",\"bibtex\":\"@article{\\n title = {A hybrid MCDA approach for delineating sites suitable for artificial groundwater recharge using drywells},\\n type = {article},\\n year = {2023},\\n keywords = {managed aquifer recharge},\\n pages = {129387},\\n volume = {620},\\n id = {71934339-1d83-3664-b1fb-b4d5add862ef},\\n created = {2023-04-02T02:50:04.108Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2023-04-02T02:50:04.108Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n bibtype = {article},\\n author = {Mohamed Mouhoumed, Rachid and Ekmekcioğlu, Ömer and Özger, Mehmet},\\n doi = {10.1016/j.jhydrol.2023.129387},\\n journal = {Journal of Hydrology},\\n number = {January}\\n}\",\"author_short\":[\"Mohamed Mouhoumed,  R.\",\"Ekmekcioğlu,  Ö.\",\"Özger,  M.\"],\"biburl\":\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c\",\"bibbaseid\":\"mohamedmouhoumed-ekmekciolu-zger-ahybridmcdaapproachfordelineatingsitessuitableforartificialgroundwaterrechargeusingdrywells-2023\",\"role\":\"author\",\"urls\":{},\"keyword\":[\"managed aquifer recharge\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Developing a Hybrid Fuzzy Decision-Making Model for Sustainable Circular Contractor Selection\",\"type\":\"article\",\"year\":\"2023\",\"volume\":\"149\",\"websites\":\"https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-13305\",\"month\":\"10\",\"id\":\"2e110aa4-9fac-3227-a492-88d730e7b9b6\",\"created\":\"2023-10-07T10:42:56.273Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2023-10-08T06:12:22.756Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"The construction sector accounts for a significant proportion of natural resource consumption and waste generation. This reveals the essentiality for gravitating the operations in the industry toward more sustainable paradigms. To tackle these concerns, the circular economy (CE) model has become a central concept to render conventional production and consumption behaviors in construction projects into innovative and sustainable patterns. In construction projects, selecting the most competent contractor is of paramount importance. Hence, the present research seeks to establish a comprehensive evaluation framework for sustainable circular contractor selection based on a hybrid fuzzy multicriteria decision-making (MCDM) approach. In this respect, the fuzzy analytical hierarchy process (AHP) was adopted for assessing the CE indicators, while the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) was utilized for evaluating circularity and eligibility of contractors. The utility of the proposed framework was predicated with regard to hydropower projects due to several environmental challenges encountered in the corresponding subsector. The results show that the contractors can be circular only if they have strong financial viability, develop strategies to implement ReSOLVE (regenerate, share, optimize, loop, virtualize, exchange), adopt specific construction methods to CE (e.g., modular construction), and propose sustainable innovative solutions. Overall, the proposed hybrid fuzzy MCDM framework can be used as a more systematic and transparent approach for selecting the most circular and sustainable contractors , contributing to the preservation of earth's resources. Given the current contractors' limited capacity to address circularity and sustainability concerns, the findings of this study can be regarded as a roadmap and contributes to practice by achieving circular and sustainable construction objectives with waste reduction, cost savings, and environmental benefits.\",\"bibtype\":\"article\",\"author\":\"Koc, Kerim and Ekmekcioglu, Ömer and Işık, Zeynep\",\"doi\":\"10.1061/JCEMD4.COENG-13305\",\"journal\":\"Journal of Construction Engineering and Management\",\"number\":\"10\",\"bibtex\":\"@article{\\n title = {Developing a Hybrid Fuzzy Decision-Making Model for Sustainable Circular Contractor Selection},\\n type = {article},\\n year = {2023},\\n volume = {149},\\n websites = {https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-13305},\\n month = {10},\\n id = {2e110aa4-9fac-3227-a492-88d730e7b9b6},\\n created = {2023-10-07T10:42:56.273Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2023-10-08T06:12:22.756Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {The construction sector accounts for a significant proportion of natural resource consumption and waste generation. This reveals the essentiality for gravitating the operations in the industry toward more sustainable paradigms. To tackle these concerns, the circular economy (CE) model has become a central concept to render conventional production and consumption behaviors in construction projects into innovative and sustainable patterns. In construction projects, selecting the most competent contractor is of paramount importance. Hence, the present research seeks to establish a comprehensive evaluation framework for sustainable circular contractor selection based on a hybrid fuzzy multicriteria decision-making (MCDM) approach. In this respect, the fuzzy analytical hierarchy process (AHP) was adopted for assessing the CE indicators, while the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) was utilized for evaluating circularity and eligibility of contractors. The utility of the proposed framework was predicated with regard to hydropower projects due to several environmental challenges encountered in the corresponding subsector. The results show that the contractors can be circular only if they have strong financial viability, develop strategies to implement ReSOLVE (regenerate, share, optimize, loop, virtualize, exchange), adopt specific construction methods to CE (e.g., modular construction), and propose sustainable innovative solutions. Overall, the proposed hybrid fuzzy MCDM framework can be used as a more systematic and transparent approach for selecting the most circular and sustainable contractors , contributing to the preservation of earth's resources. Given the current contractors' limited capacity to address circularity and sustainability concerns, the findings of this study can be regarded as a roadmap and contributes to practice by achieving circular and sustainable construction objectives with waste reduction, cost savings, and environmental benefits.},\\n bibtype = {article},\\n author = {Koc, Kerim and Ekmekcioglu, Ömer and Işık, Zeynep},\\n doi = {10.1061/JCEMD4.COENG-13305},\\n journal = {Journal of Construction Engineering and Management},\\n number = {10}\\n}\",\"author_short\":[\"Koc,  K.\",\"Ekmekcioglu,  Ö.\",\"Işık,  Z.\"],\"urls\":{\"Website\":\"https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-13305\"},\"biburl\":\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c\",\"bibbaseid\":\"koc-ekmekcioglu-ik-developingahybridfuzzydecisionmakingmodelforsustainablecircularcontractorselection-2023\",\"role\":\"author\",\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Providing a comprehensive understanding of missing data imputation processes in evapotranspiration-related research: a systematic literature review\",\"type\":\"article\",\"year\":\"2023\",\"keywords\":\"eddy covariance,evapotranspiration,gap filling,missing data imputation,multiple imputation\",\"pages\":\"1-16\",\"volume\":\"00\",\"websites\":\"https://doi.org/10.1080/02626667.2023.2249456\",\"publisher\":\"Taylor & Francis\",\"id\":\"01a6b6a0-0798-3ac4-96af-d2f52912f73b\",\"created\":\"2023-10-07T10:42:56.276Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2023-10-07T10:42:56.276Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"This study aimed to review the existing research focalizing on the missing data imputation techniques for the systems enabling actual evapotranspiration calculation (such as eddy covariance, Bowen ratio, and lysimeters) and divergent evapotranspiration related variables, i.e. temperature, wind speed, humidity, and solar radiation. Thus, the Scopus engine was utilized to scan the entire literature and 62 articles were diligently investigated. Results show classical approaches have been widely used by researchers due to their ease of implementation. However, the applicability and validity of these methods heavily rely on assumptions made about the distribution and characteristics of missing data. Hence, advanced imputation techniques produce more accurate outcomes as they handle complex and non-linear problems. Also, current trends embraced by the research community revealed that employing deep learning techniques and incorporating explainable artificial intelligence into imputations have significant potential to make insightful contributions to the body of knowledge.\",\"bibtype\":\"article\",\"author\":\"Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer and Özger, Mehmet\",\"doi\":\"10.1080/02626667.2023.2249456\",\"journal\":\"Hydrological Sciences Journal\",\"number\":\"00\",\"bibtex\":\"@article{\\n title = {Providing a comprehensive understanding of missing data imputation processes in evapotranspiration-related research: a systematic literature review},\\n type = {article},\\n year = {2023},\\n keywords = {eddy covariance,evapotranspiration,gap filling,missing data imputation,multiple imputation},\\n pages = {1-16},\\n volume = {00},\\n websites = {https://doi.org/10.1080/02626667.2023.2249456},\\n publisher = {Taylor & Francis},\\n id = {01a6b6a0-0798-3ac4-96af-d2f52912f73b},\\n created = {2023-10-07T10:42:56.276Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2023-10-07T10:42:56.276Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {This study aimed to review the existing research focalizing on the missing data imputation techniques for the systems enabling actual evapotranspiration calculation (such as eddy covariance, Bowen ratio, and lysimeters) and divergent evapotranspiration related variables, i.e. temperature, wind speed, humidity, and solar radiation. Thus, the Scopus engine was utilized to scan the entire literature and 62 articles were diligently investigated. Results show classical approaches have been widely used by researchers due to their ease of implementation. However, the applicability and validity of these methods heavily rely on assumptions made about the distribution and characteristics of missing data. Hence, advanced imputation techniques produce more accurate outcomes as they handle complex and non-linear problems. Also, current trends embraced by the research community revealed that employing deep learning techniques and incorporating explainable artificial intelligence into imputations have significant potential to make insightful contributions to the body of knowledge.},\\n bibtype = {article},\\n author = {Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer and Özger, Mehmet},\\n doi = {10.1080/02626667.2023.2249456},\\n journal = {Hydrological Sciences Journal},\\n number = {00}\\n}\",\"author_short\":[\"Başakın,  E., E.\",\"Ekmekcioğlu,  Ö.\",\"Özger,  M.\"],\"urls\":{\"Website\":\"https://doi.org/10.1080/02626667.2023.2249456\"},\"biburl\":\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c\",\"bibbaseid\":\"baakn-ekmekciolu-zger-providingacomprehensiveunderstandingofmissingdataimputationprocessesinevapotranspirationrelatedresearchasystematicliteraturereview-2023\",\"role\":\"author\",\"keyword\":[\"eddy covariance\",\"evapotranspiration\",\"gap filling\",\"missing data imputation\",\"multiple imputation\"],\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Drought Forecasting Using Integrated Variational Mode Decomposition and Extreme Gradient Boosting\",\"type\":\"article\",\"year\":\"2023\",\"pages\":\"3413\",\"volume\":\"15\",\"websites\":\"https://www.mdpi.com/2073-4441/15/19/3413\",\"month\":\"9\",\"day\":\"28\",\"id\":\"05b4b25e-a46d-32f3-853a-64189710c79a\",\"created\":\"2023-11-16T17:08:35.433Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2023-11-16T17:08:35.433Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"The current study seeks to conduct time series forecasting of droughts by means of the state-of-the-art XGBoost algorithm. To explore the drought variability in one of the semi-arid regions of Turkey, i.e., Denizli, the self-calibrated Palmer Drought Severity Index (sc-PDSI) values were used and projections were made for different horizons, including short-term (1-month: t + 1), mid-term (3-months: t + 3 and 6-months: t + 6), and long-term (12-months: t + 12) periods. The original sc-PDSI time series was subjected to the partial autocorrelation function to identify the input configurations and, accordingly, one- (t − 1) and two-month (t − 2) lags were used to perform the forecast of the targeted outcomes. This research further incorporated the recently introduced variational mode decomposition (VMD) for signal processing into the predictive model to enhance the accuracy. The proposed model was not only benchmarked with the standalone XGBoost but also with the model generated by its hybridization with the discrete wavelet transform (DWT). The overall results revealed that the VMD-XGBoost model outperformed its counterparts in all lead-time forecasts with NSE values of 0.9778, 0.9405, 0.8476, and 0.6681 for t + 1, t + 3, t + 6, and t + 12, respectively. Transparency of the proposed hybrid model was further ensured by the Mann–Whitney U test, highlighting the results as statistically significant.\",\"bibtype\":\"article\",\"author\":\"Ekmekcioğlu, Ömer\",\"doi\":\"10.3390/w15193413\",\"journal\":\"Water\",\"number\":\"19\",\"bibtex\":\"@article{\\n title = {Drought Forecasting Using Integrated Variational Mode Decomposition and Extreme Gradient Boosting},\\n type = {article},\\n year = {2023},\\n pages = {3413},\\n volume = {15},\\n websites = {https://www.mdpi.com/2073-4441/15/19/3413},\\n month = {9},\\n day = {28},\\n id = {05b4b25e-a46d-32f3-853a-64189710c79a},\\n created = {2023-11-16T17:08:35.433Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2023-11-16T17:08:35.433Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {The current study seeks to conduct time series forecasting of droughts by means of the state-of-the-art XGBoost algorithm. To explore the drought variability in one of the semi-arid regions of Turkey, i.e., Denizli, the self-calibrated Palmer Drought Severity Index (sc-PDSI) values were used and projections were made for different horizons, including short-term (1-month: t + 1), mid-term (3-months: t + 3 and 6-months: t + 6), and long-term (12-months: t + 12) periods. The original sc-PDSI time series was subjected to the partial autocorrelation function to identify the input configurations and, accordingly, one- (t − 1) and two-month (t − 2) lags were used to perform the forecast of the targeted outcomes. This research further incorporated the recently introduced variational mode decomposition (VMD) for signal processing into the predictive model to enhance the accuracy. The proposed model was not only benchmarked with the standalone XGBoost but also with the model generated by its hybridization with the discrete wavelet transform (DWT). The overall results revealed that the VMD-XGBoost model outperformed its counterparts in all lead-time forecasts with NSE values of 0.9778, 0.9405, 0.8476, and 0.6681 for t + 1, t + 3, t + 6, and t + 12, respectively. Transparency of the proposed hybrid model was further ensured by the Mann–Whitney U test, highlighting the results as statistically significant.},\\n bibtype = {article},\\n author = {Ekmekcioğlu, Ömer},\\n doi = {10.3390/w15193413},\\n journal = {Water},\\n number = {19}\\n}\",\"author_short\":[\"Ekmekcioğlu,  Ö.\"],\"urls\":{\"Website\":\"https://www.mdpi.com/2073-4441/15/19/3413\"},\"biburl\":\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c\",\"bibbaseid\":\"ekmekciolu-droughtforecastingusingintegratedvariationalmodedecompositionandextremegradientboosting-2023\",\"role\":\"author\",\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"On the identification of most appropriate green roof types for urbanized cities using multi-tier decision analysis: A case study of Istanbul, Turkey\",\"type\":\"article\",\"year\":\"2023\",\"pages\":\"104707\",\"volume\":\"96\",\"websites\":\"https://linkinghub.elsevier.com/retrieve/pii/S2210670723003189\",\"month\":\"9\",\"id\":\"44f120c2-d788-3a68-9278-ddc8bef7f8d6\",\"created\":\"2023-11-22T08:25:33.432Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2023-11-22T08:25:33.432Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"bibtype\":\"article\",\"author\":\"Ekmekcioğlu, Ömer\",\"doi\":\"10.1016/j.scs.2023.104707\",\"journal\":\"Sustainable Cities and Society\",\"bibtex\":\"@article{\\n title = {On the identification of most appropriate green roof types for urbanized cities using multi-tier decision analysis: A case study of Istanbul, Turkey},\\n type = {article},\\n year = {2023},\\n pages = {104707},\\n volume = {96},\\n websites = {https://linkinghub.elsevier.com/retrieve/pii/S2210670723003189},\\n month = {9},\\n id = {44f120c2-d788-3a68-9278-ddc8bef7f8d6},\\n created = {2023-11-22T08:25:33.432Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2023-11-22T08:25:33.432Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n bibtype = {article},\\n author = {Ekmekcioğlu, Ömer},\\n doi = {10.1016/j.scs.2023.104707},\\n journal = {Sustainable Cities and Society}\\n}\",\"author_short\":[\"Ekmekcioğlu,  Ö.\"],\"urls\":{\"Website\":\"https://linkinghub.elsevier.com/retrieve/pii/S2210670723003189\"},\"biburl\":\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c\",\"bibbaseid\":\"ekmekciolu-ontheidentificationofmostappropriategreenrooftypesforurbanizedcitiesusingmultitierdecisionanalysisacasestudyofistanbulturkey-2023\",\"role\":\"author\",\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Discovering the Perception Differences of Stakeholders on the Sustainable and Innovative Stormwater Management Practices\",\"type\":\"article\",\"year\":\"2024\",\"websites\":\"https://link.springer.com/10.1007/s11269-024-03783-2\",\"month\":\"2\",\"day\":\"10\",\"id\":\"e263adbf-6115-3600-a3f8-7109ba989855\",\"created\":\"2024-02-23T14:28:00.060Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2024-02-23T14:28:00.060Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"The overarching aim of the present work is to explore the perception differences of stakeholders, i.e., municipalities (MN), water administrations (WS), non-governmental organizations (NGO), and universities (UN), playing vital roles in the decision mechanisms regarding one of the sustainable flood mitigation techniques, i.e., low impact development (LID) practices. As being rewarding alternative to conventional drainage techniques, four different LID strategies, i.e., green roof (GR), bioretention cells (BC), permeable pavement (PP), and infiltration trench (IT), and three of their combinations were adopted to the densely urbanized Ayamama River basin, Istanbul, Turkey. The performances of the LIDs were comprehensively evaluated based on three pillars of sustainability (i.e., social, economic, and environmental) using a hybrid multi-criteria decision-making (MCDM) framework containing the implementation of fuzzy analytical hierarchy process (fuzzy AHP) and the VIKOR (VIse KriterijumsaOptimiz acija I Kompromisno Resenje) for finding the weights of constraining criteria and prioritizing the LID scenarios, respectively. The major outcomes of this research showed that experts from MN, WS, and UN put forward the environmental dimension of sustainability, whereas respondents from NGO concentrated on the social aspect. Furthermore, MN and WS highlighted initial investment cost as the most determining criterion in optimal LID selection. On the other hand, criteria weights regarding the judgments of the experts attended from NGO revealed the significance of community resistance in specifying the optimal LID practices, while aesthetic appearance was the major concern of the academia. Hence, the present study, as an initial attempt, enabled critical standpoints for discovering perceptions of stakeholders.\",\"bibtype\":\"article\",\"author\":\"Ekmekcioğlu, Ömer\",\"doi\":\"10.1007/s11269-024-03783-2\",\"journal\":\"Water Resources Management\",\"bibtex\":\"@article{\\n title = {Discovering the Perception Differences of Stakeholders on the Sustainable and Innovative Stormwater Management Practices},\\n type = {article},\\n year = {2024},\\n websites = {https://link.springer.com/10.1007/s11269-024-03783-2},\\n month = {2},\\n day = {10},\\n id = {e263adbf-6115-3600-a3f8-7109ba989855},\\n created = {2024-02-23T14:28:00.060Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2024-02-23T14:28:00.060Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {The overarching aim of the present work is to explore the perception differences of stakeholders, i.e., municipalities (MN), water administrations (WS), non-governmental organizations (NGO), and universities (UN), playing vital roles in the decision mechanisms regarding one of the sustainable flood mitigation techniques, i.e., low impact development (LID) practices. As being rewarding alternative to conventional drainage techniques, four different LID strategies, i.e., green roof (GR), bioretention cells (BC), permeable pavement (PP), and infiltration trench (IT), and three of their combinations were adopted to the densely urbanized Ayamama River basin, Istanbul, Turkey. The performances of the LIDs were comprehensively evaluated based on three pillars of sustainability (i.e., social, economic, and environmental) using a hybrid multi-criteria decision-making (MCDM) framework containing the implementation of fuzzy analytical hierarchy process (fuzzy AHP) and the VIKOR (VIse KriterijumsaOptimiz acija I Kompromisno Resenje) for finding the weights of constraining criteria and prioritizing the LID scenarios, respectively. The major outcomes of this research showed that experts from MN, WS, and UN put forward the environmental dimension of sustainability, whereas respondents from NGO concentrated on the social aspect. Furthermore, MN and WS highlighted initial investment cost as the most determining criterion in optimal LID selection. On the other hand, criteria weights regarding the judgments of the experts attended from NGO revealed the significance of community resistance in specifying the optimal LID practices, while aesthetic appearance was the major concern of the academia. Hence, the present study, as an initial attempt, enabled critical standpoints for discovering perceptions of stakeholders.},\\n bibtype = {article},\\n author = {Ekmekcioğlu, Ömer},\\n doi = {10.1007/s11269-024-03783-2},\\n journal = {Water Resources Management}\\n}\",\"author_short\":[\"Ekmekcioğlu,  Ö.\"],\"urls\":{\"Website\":\"https://link.springer.com/10.1007/s11269-024-03783-2\"},\"biburl\":\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c\",\"bibbaseid\":\"ekmekciolu-discoveringtheperceptiondifferencesofstakeholdersonthesustainableandinnovativestormwatermanagementpractices-2024\",\"role\":\"author\",\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"CBS Tabanlı Melez Makine Öğrenmesi Uygulamalarının Ani Sel Duyarlılık Haritalamasında Kullanımı\",\"type\":\"article\",\"year\":\"2023\",\"pages\":\"1067-1084\",\"volume\":\"13\",\"websites\":\"http://dergipark.org.tr/tr/doi/10.21597/jist.1225104\",\"month\":\"6\",\"day\":\"1\",\"id\":\"5a86d94f-8d34-36a9-be80-89c396836bc7\",\"created\":\"2024-03-17T00:33:15.235Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2024-03-17T00:33:15.235Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"Bu çalışmada Kentucky Nehri havzasında son yirmi yılda meydana gelen ani sel baskınları kayıtlarına dayanarak makine öğrenmesi yöntemleri kullanılarak taşkın tehlike haritalamasının yapılması amaçlanmıştır. Tahminlerin gerçekleştirilebilmesi için yaygın olarak kullanılan ve pratik bir algoritma olan rastgele orman (RF) yöntemi kullanılmıştır. Ayrıca, bu yöntemin içsel parametreleri (ağaç sayısı ve maksimum ağaç derinliği) ise parçacık sürü optimizasyonu (PSO) algoritması ile optimize edilmiştir. Bu bağlamda 343 adet geçmiş ani sel kayıtlarına ilaveten havza sınırları içerisinde yer alacak şekilde aynı sayıda rastgele nokta atanmıştır. Tüm bu noktalara 12 adet ani sel tehlikesini tetikleyecek faktörler tanıtılmış olup, tahminler bu doğrultuda gerçekleştirilmiştir. Tahmin sonuçları birçok performans değerlendirme indikatörü göz önüne alınarak analiz edildiğinde melez PSO-RF modelinin test veri setinde oldukça başarılı sonuçlar gösterdiği görülmüştür. Öyle ki hem ani sel olan noktalar hem de ani sel gerçekleşmeyen noktalar %70 oranında doğruluk ile tahmin edilmiştir. Yapılan detaylı değerlendirmeler sonucu ise ikili sınıflandırma problemlerinde önemli bir gösterge olan AUROC değeri ise 0.79 olarak hesaplanmıştır. Ayrıca, ani selleri tetikleyen faktörlerin sonuçlar üzerindeki tekil etkileri incelendiğinde şiddetli yağış faktörü en etkili değişken olarak bulunmuş olup, onu sırasıyla topoğrafya, NDVI ve eğri numarası faktörleri izlemiştir. Öte yandan, litoloji faktörünün ani sellerin modellenmesi üzerindeki etkisi ise diğer faktörlere göre oldukça az olduğu sonucuna varılmıştır. Tüm bu bulgular ışığında elde edilen sonuçlar hem taşkın tehlike haritalaması literatürüne katkı yapacak, hem de ilgili bölgede yaşanacak gelecek ani sel olayları meydana gelmeden alınması gereken tedbirler ile ilgili yol gösterici nitelikte olacaktır.\",\"bibtype\":\"article\",\"author\":\"Koyuncu, Zehra and Ekmekcioğlu, Ömer\",\"doi\":\"10.21597/jist.1225104\",\"journal\":\"Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi\",\"number\":\"2\",\"bibtex\":\"@article{\\n title = {CBS Tabanlı Melez Makine Öğrenmesi Uygulamalarının Ani Sel Duyarlılık Haritalamasında Kullanımı},\\n type = {article},\\n year = {2023},\\n pages = {1067-1084},\\n volume = {13},\\n websites = {http://dergipark.org.tr/tr/doi/10.21597/jist.1225104},\\n month = {6},\\n day = {1},\\n id = {5a86d94f-8d34-36a9-be80-89c396836bc7},\\n created = {2024-03-17T00:33:15.235Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2024-03-17T00:33:15.235Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {Bu çalışmada Kentucky Nehri havzasında son yirmi yılda meydana gelen ani sel baskınları kayıtlarına dayanarak makine öğrenmesi yöntemleri kullanılarak taşkın tehlike haritalamasının yapılması amaçlanmıştır. Tahminlerin gerçekleştirilebilmesi için yaygın olarak kullanılan ve pratik bir algoritma olan rastgele orman (RF) yöntemi kullanılmıştır. Ayrıca, bu yöntemin içsel parametreleri (ağaç sayısı ve maksimum ağaç derinliği) ise parçacık sürü optimizasyonu (PSO) algoritması ile optimize edilmiştir. Bu bağlamda 343 adet geçmiş ani sel kayıtlarına ilaveten havza sınırları içerisinde yer alacak şekilde aynı sayıda rastgele nokta atanmıştır. Tüm bu noktalara 12 adet ani sel tehlikesini tetikleyecek faktörler tanıtılmış olup, tahminler bu doğrultuda gerçekleştirilmiştir. Tahmin sonuçları birçok performans değerlendirme indikatörü göz önüne alınarak analiz edildiğinde melez PSO-RF modelinin test veri setinde oldukça başarılı sonuçlar gösterdiği görülmüştür. Öyle ki hem ani sel olan noktalar hem de ani sel gerçekleşmeyen noktalar %70 oranında doğruluk ile tahmin edilmiştir. Yapılan detaylı değerlendirmeler sonucu ise ikili sınıflandırma problemlerinde önemli bir gösterge olan AUROC değeri ise 0.79 olarak hesaplanmıştır. Ayrıca, ani selleri tetikleyen faktörlerin sonuçlar üzerindeki tekil etkileri incelendiğinde şiddetli yağış faktörü en etkili değişken olarak bulunmuş olup, onu sırasıyla topoğrafya, NDVI ve eğri numarası faktörleri izlemiştir. Öte yandan, litoloji faktörünün ani sellerin modellenmesi üzerindeki etkisi ise diğer faktörlere göre oldukça az olduğu sonucuna varılmıştır. Tüm bu bulgular ışığında elde edilen sonuçlar hem taşkın tehlike haritalaması literatürüne katkı yapacak, hem de ilgili bölgede yaşanacak gelecek ani sel olayları meydana gelmeden alınması gereken tedbirler ile ilgili yol gösterici nitelikte olacaktır.},\\n bibtype = {article},\\n author = {Koyuncu, Zehra and Ekmekcioğlu, Ömer},\\n doi = {10.21597/jist.1225104},\\n journal = {Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi},\\n number = {2}\\n}\",\"author_short\":[\"Koyuncu,  Z.\",\"Ekmekcioğlu,  Ö.\"],\"urls\":{\"Website\":\"http://dergipark.org.tr/tr/doi/10.21597/jist.1225104\"},\"biburl\":\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c\",\"bibbaseid\":\"koyuncu-ekmekciolu-cbstabanlmelezmakinerenmesiuygulamalarnnaniselduyarllkharitalamasndakullanm-2023\",\"role\":\"author\",\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Predicting Cost Impacts of Nonconformances in Construction Projects Using Interpretable Machine Learning\",\"type\":\"article\",\"year\":\"2024\",\"volume\":\"150\",\"websites\":\"https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-13857\",\"month\":\"1\",\"id\":\"5c439867-da9d-3a0a-b5e4-5970cf006ae4\",\"created\":\"2024-04-29T19:12:19.044Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2024-04-29T19:12:19.044Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"bibtype\":\"article\",\"author\":\"Koc, Kerim and Budayan, Cenk and Ekmekcioğlu, Ömer and Tokdemir, Onur Behzat\",\"doi\":\"10.1061/JCEMD4.COENG-13857\",\"journal\":\"Journal of Construction Engineering and Management\",\"number\":\"1\",\"bibtex\":\"@article{\\n title = {Predicting Cost Impacts of Nonconformances in Construction Projects Using Interpretable Machine Learning},\\n type = {article},\\n year = {2024},\\n volume = {150},\\n websites = {https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-13857},\\n month = {1},\\n id = {5c439867-da9d-3a0a-b5e4-5970cf006ae4},\\n created = {2024-04-29T19:12:19.044Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2024-04-29T19:12:19.044Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n bibtype = {article},\\n author = {Koc, Kerim and Budayan, Cenk and Ekmekcioğlu, Ömer and Tokdemir, Onur Behzat},\\n doi = {10.1061/JCEMD4.COENG-13857},\\n journal = {Journal of Construction Engineering and Management},\\n number = {1}\\n}\",\"author_short\":[\"Koc,  K.\",\"Budayan,  C.\",\"Ekmekcioğlu,  Ö.\",\"Tokdemir,  O., B.\"],\"urls\":{\"Website\":\"https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-13857\"},\"biburl\":\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c\",\"bibbaseid\":\"koc-budayan-ekmekciolu-tokdemir-predictingcostimpactsofnonconformancesinconstructionprojectsusinginterpretablemachinelearning-2024\",\"role\":\"author\",\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"An integrated groundwater vulnerability and artificial recharge site suitability assessment using GIS multi-criteria decision making approach in Kayseri region, Turkey\",\"type\":\"article\",\"year\":\"2024\",\"pages\":\"39794-39822\",\"volume\":\"31\",\"websites\":\"https://link.springer.com/10.1007/s11356-024-33809-6\",\"month\":\"6\",\"day\":\"4\",\"id\":\"3fd4989d-d6c1-3878-a997-ab29c38386a8\",\"created\":\"2025-03-13T11:46:31.240Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2025-03-13T11:46:31.240Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"Groundwater resources worldwide face significant challenges that require urgent implementation of sustainable measures for effective long-term management. Managed aquifer recharge (MAR) is regarded as one of the most promising management technologies to address the degradation of groundwater resources. However, in urban aquifers, locating suitable areas that are least vulnerable to contamination for MAR implementation is complex and challenging. Hence, the present study proposes a framework encapsulating the combined assessment of groundwater vulnerability and MAR site suitability analysis to pinpoint the most featured areas for installing drywells in Kayseri, Turkey. To extrapolate the vulnerable zones, not only the original DRASTIC but also its multi-criteria decision-making (MCDA)–based modified variants were evaluated with regard to different hydrochemical parameters using the area under the receiver operating characteristic (ROC) curve (AUC). Besides, the fuzzy analytical hierarchy process (FAHP) rationale was adopted to signify the importance level of criteria and the robustness of the framework was highlighted with sensitivity analysis. In addition, the decision layers and the attained vulnerability layer were combined using the weighted overlay (WOA). The findings indicate that the DRASTIC-SWARA correlates well with the arsenic (AUC = 0.856) and chloride (AUC = 0.648) and was adopted as the vulnerability model. Groundwater quality parameters such as chloride and sodium adsorption ratio, as well as the vadose zone thickness, were found to be the most significant decision parameters with importance levels of 16.75%, 14.51%, and 15.73%, respectively. Overall, 28.24% of the study area was unsuitable for recharge activities with high to very high vulnerability, while the remaining part was further prioritized into low to high suitability classes for MAR application. The proposed framework offers valuable tool to decision-makers for the delineation of favorable MAR sites with minimized susceptibility to contamination.\",\"bibtype\":\"article\",\"author\":\"Mouhoumed, Rachid Mohamed and Ekmekcioğlu, Ömer and Özger, Mehmet\",\"doi\":\"10.1007/s11356-024-33809-6\",\"journal\":\"Environmental Science and Pollution Research\",\"number\":\"27\",\"bibtex\":\"@article{\\n title = {An integrated groundwater vulnerability and artificial recharge site suitability assessment using GIS multi-criteria decision making approach in Kayseri region, Turkey},\\n type = {article},\\n year = {2024},\\n pages = {39794-39822},\\n volume = {31},\\n websites = {https://link.springer.com/10.1007/s11356-024-33809-6},\\n month = {6},\\n day = {4},\\n id = {3fd4989d-d6c1-3878-a997-ab29c38386a8},\\n created = {2025-03-13T11:46:31.240Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2025-03-13T11:46:31.240Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {Groundwater resources worldwide face significant challenges that require urgent implementation of sustainable measures for effective long-term management. Managed aquifer recharge (MAR) is regarded as one of the most promising management technologies to address the degradation of groundwater resources. However, in urban aquifers, locating suitable areas that are least vulnerable to contamination for MAR implementation is complex and challenging. Hence, the present study proposes a framework encapsulating the combined assessment of groundwater vulnerability and MAR site suitability analysis to pinpoint the most featured areas for installing drywells in Kayseri, Turkey. To extrapolate the vulnerable zones, not only the original DRASTIC but also its multi-criteria decision-making (MCDA)–based modified variants were evaluated with regard to different hydrochemical parameters using the area under the receiver operating characteristic (ROC) curve (AUC). Besides, the fuzzy analytical hierarchy process (FAHP) rationale was adopted to signify the importance level of criteria and the robustness of the framework was highlighted with sensitivity analysis. In addition, the decision layers and the attained vulnerability layer were combined using the weighted overlay (WOA). The findings indicate that the DRASTIC-SWARA correlates well with the arsenic (AUC = 0.856) and chloride (AUC = 0.648) and was adopted as the vulnerability model. Groundwater quality parameters such as chloride and sodium adsorption ratio, as well as the vadose zone thickness, were found to be the most significant decision parameters with importance levels of 16.75%, 14.51%, and 15.73%, respectively. Overall, 28.24% of the study area was unsuitable for recharge activities with high to very high vulnerability, while the remaining part was further prioritized into low to high suitability classes for MAR application. The proposed framework offers valuable tool to decision-makers for the delineation of favorable MAR sites with minimized susceptibility to contamination.},\\n bibtype = {article},\\n author = {Mouhoumed, Rachid Mohamed and Ekmekcioğlu, Ömer and Özger, Mehmet},\\n doi = {10.1007/s11356-024-33809-6},\\n journal = {Environmental Science and Pollution Research},\\n number = {27}\\n}\",\"author_short\":[\"Mouhoumed,  R., M.\",\"Ekmekcioğlu,  Ö.\",\"Özger,  M.\"],\"urls\":{\"Website\":\"https://link.springer.com/10.1007/s11356-024-33809-6\"},\"biburl\":\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c\",\"bibbaseid\":\"mouhoumed-ekmekciolu-zger-anintegratedgroundwatervulnerabilityandartificialrechargesitesuitabilityassessmentusinggismulticriteriadecisionmakingapproachinkayseriregionturkey-2024\",\"role\":\"author\",\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Coupling Different Machine Learning and Meta-Heuristic Optimization Techniques to Generate the Snow Avalanche Susceptibility Map in the French Alps\",\"type\":\"article\",\"year\":\"2024\",\"pages\":\"3247\",\"volume\":\"16\",\"websites\":\"https://www.mdpi.com/2073-4441/16/22/3247\",\"month\":\"11\",\"day\":\"12\",\"id\":\"8818e78e-15fe-3708-b322-dfd15322ce93\",\"created\":\"2025-03-13T11:46:31.242Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2025-03-13T11:46:31.242Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"The focus of this study is to introduce a hybrid predictive framework encompassing different meta-heuristic optimization and machine learning techniques to identify the regions susceptible to snow avalanches. To accomplish this aim, the present research sought to acquire the best-performed model among nine different hybrid scenarios encompassing three different meta-heuristics, namely particle swarm optimization (PSO), gravitational search algorithm (GSA), and Cuckoo Search (CS), and three different ML approaches, i.e., support vector classification (SVC), stochastic gradient boosting (SGB), and k-nearest neighbors (KNN), pertaining to different predictive families. According to diligent analysis performed with regard to the blinded testing set, the PSO-SGB illustrated the most satisfactory predictive performance with an accuracy of 0.815, while the precision and recall were found to be 0.824 and 0.821, respectively. The F1-score of the predictions was found to be 0.821, and the area under the receiver operating curve (AUC) was obtained to be 0.9. Despite attaining similar predictive success via the CS-SGB model, the time-efficiency analysis underscored the PSO-SGB, as the corresponding process consumed considerably less computational time compared to its counterpart. The SHapley Additive exPlanations (SHAP) implementation further informed that slope, elevation, and wind speed are the most contributing attributes to detecting snow avalanche susceptibility in the French Alps.\",\"bibtype\":\"article\",\"author\":\"Kayhan, Enes Can and Ekmekcioğlu, Ömer\",\"doi\":\"10.3390/w16223247\",\"journal\":\"Water\",\"number\":\"22\",\"bibtex\":\"@article{\\n title = {Coupling Different Machine Learning and Meta-Heuristic Optimization Techniques to Generate the Snow Avalanche Susceptibility Map in the French Alps},\\n type = {article},\\n year = {2024},\\n pages = {3247},\\n volume = {16},\\n websites = {https://www.mdpi.com/2073-4441/16/22/3247},\\n month = {11},\\n day = {12},\\n id = {8818e78e-15fe-3708-b322-dfd15322ce93},\\n created = {2025-03-13T11:46:31.242Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2025-03-13T11:46:31.242Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {The focus of this study is to introduce a hybrid predictive framework encompassing different meta-heuristic optimization and machine learning techniques to identify the regions susceptible to snow avalanches. To accomplish this aim, the present research sought to acquire the best-performed model among nine different hybrid scenarios encompassing three different meta-heuristics, namely particle swarm optimization (PSO), gravitational search algorithm (GSA), and Cuckoo Search (CS), and three different ML approaches, i.e., support vector classification (SVC), stochastic gradient boosting (SGB), and k-nearest neighbors (KNN), pertaining to different predictive families. According to diligent analysis performed with regard to the blinded testing set, the PSO-SGB illustrated the most satisfactory predictive performance with an accuracy of 0.815, while the precision and recall were found to be 0.824 and 0.821, respectively. The F1-score of the predictions was found to be 0.821, and the area under the receiver operating curve (AUC) was obtained to be 0.9. Despite attaining similar predictive success via the CS-SGB model, the time-efficiency analysis underscored the PSO-SGB, as the corresponding process consumed considerably less computational time compared to its counterpart. The SHapley Additive exPlanations (SHAP) implementation further informed that slope, elevation, and wind speed are the most contributing attributes to detecting snow avalanche susceptibility in the French Alps.},\\n bibtype = {article},\\n author = {Kayhan, Enes Can and Ekmekcioğlu, Ömer},\\n doi = {10.3390/w16223247},\\n journal = {Water},\\n number = {22}\\n}\",\"author_short\":[\"Kayhan,  E., C.\",\"Ekmekcioğlu,  Ö.\"],\"urls\":{\"Website\":\"https://www.mdpi.com/2073-4441/16/22/3247\"},\"biburl\":\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c\",\"bibbaseid\":\"kayhan-ekmekciolu-couplingdifferentmachinelearningandmetaheuristicoptimizationtechniquestogeneratethesnowavalanchesusceptibilitymapinthefrenchalps-2024\",\"role\":\"author\",\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"A holistic multi-tiered decision framework for evaluating rainwater harvesting potential in arid regions: A case study of the southeastern basin of Djibouti\",\"type\":\"article\",\"year\":\"2024\",\"pages\":\"101090\",\"volume\":\"25\",\"websites\":\"https://linkinghub.elsevier.com/retrieve/pii/S2352801X24000134\",\"month\":\"5\",\"id\":\"0f26e781-4606-30f4-9793-baad76a0abb2\",\"created\":\"2025-03-13T11:46:31.300Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2025-03-13T11:46:31.300Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"bibtype\":\"article\",\"author\":\"Mouhoumed, Rachid Mohamed and Ekmekcioğlu, Ömer and Özger, Mehmet\",\"doi\":\"10.1016/j.gsd.2024.101090\",\"journal\":\"Groundwater for Sustainable Development\",\"bibtex\":\"@article{\\n title = {A holistic multi-tiered decision framework for evaluating rainwater harvesting potential in arid regions: A case study of the southeastern basin of Djibouti},\\n type = {article},\\n year = {2024},\\n pages = {101090},\\n volume = {25},\\n websites = {https://linkinghub.elsevier.com/retrieve/pii/S2352801X24000134},\\n month = {5},\\n id = {0f26e781-4606-30f4-9793-baad76a0abb2},\\n created = {2025-03-13T11:46:31.300Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2025-03-13T11:46:31.300Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n bibtype = {article},\\n author = {Mouhoumed, Rachid Mohamed and Ekmekcioğlu, Ömer and Özger, Mehmet},\\n doi = {10.1016/j.gsd.2024.101090},\\n journal = {Groundwater for Sustainable Development}\\n}\",\"author_short\":[\"Mouhoumed,  R., M.\",\"Ekmekcioğlu,  Ö.\",\"Özger,  M.\"],\"urls\":{\"Website\":\"https://linkinghub.elsevier.com/retrieve/pii/S2352801X24000134\"},\"biburl\":\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c\",\"bibbaseid\":\"mouhoumed-ekmekciolu-zger-aholisticmultitiereddecisionframeworkforevaluatingrainwaterharvestingpotentialinaridregionsacasestudyofthesoutheasternbasinofdjibouti-2024\",\"role\":\"author\",\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Integrated Fuzzy AHP-TOPSIS Model for Assessing Managed Aquifer Recharge Potential in a Hot Dry Region: A Case Study of Djibouti at a Country Scale\",\"type\":\"article\",\"year\":\"2023\",\"pages\":\"2534\",\"volume\":\"15\",\"websites\":\"https://www.mdpi.com/2073-4441/15/14/2534\",\"month\":\"7\",\"day\":\"10\",\"id\":\"bda39e28-d536-3a77-a479-0ad6d53bfd57\",\"created\":\"2025-03-13T11:46:31.391Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2025-03-13T11:46:31.391Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"Given the prevailing arid climate and rapid population growth, groundwater resources face unprecedented challenges globally, including depletion, seawater intrusion, and contamination. Managed aquifer recharge (MAR) technologies have emerged as valuable solutions to address these pressing issues. However, identifying suitable regions for MAR activities is a complex task, particularly at the country level. Therefore, in this study, we propose a robust approach that combines the fuzzy analytical hierarchy process (AHP) and the technique for order of preference by similarity to ideal solution (TOPSIS) to delineate suitable sites for MAR structures. The proposed model was applied to Djibouti, a hot, dry, and water-stressed country. We identified a set of nine decision criteria and conducted a pairwise comparison survey to determine their relative importance. Additionally, the TOPSIS method was employed to integrate the decision layers and prioritize the study area. The results highlight the significance of rainfall, the slope, and the NDVI as the most influential decision parameters, while the drainage density has the least impact. A suitability analysis reveals that 16.38%, 17.96%, and 30.41% of the country have a very high, high, and moderate potential for MAR activities, respectively. Furthermore, a sensitivity analysis demonstrates the stability of the proposed model, affirming the usefulness of the generated suitability map.\",\"bibtype\":\"article\",\"author\":\"Mouhoumed, Rachid Mohamed and Ekmekcioğlu, Ömer and Başakın, Eyyup Ensar and Özger, Mehmet\",\"doi\":\"10.3390/w15142534\",\"journal\":\"Water\",\"number\":\"14\",\"bibtex\":\"@article{\\n title = {Integrated Fuzzy AHP-TOPSIS Model for Assessing Managed Aquifer Recharge Potential in a Hot Dry Region: A Case Study of Djibouti at a Country Scale},\\n type = {article},\\n year = {2023},\\n pages = {2534},\\n volume = {15},\\n websites = {https://www.mdpi.com/2073-4441/15/14/2534},\\n month = {7},\\n day = {10},\\n id = {bda39e28-d536-3a77-a479-0ad6d53bfd57},\\n created = {2025-03-13T11:46:31.391Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2025-03-13T11:46:31.391Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {Given the prevailing arid climate and rapid population growth, groundwater resources face unprecedented challenges globally, including depletion, seawater intrusion, and contamination. Managed aquifer recharge (MAR) technologies have emerged as valuable solutions to address these pressing issues. However, identifying suitable regions for MAR activities is a complex task, particularly at the country level. Therefore, in this study, we propose a robust approach that combines the fuzzy analytical hierarchy process (AHP) and the technique for order of preference by similarity to ideal solution (TOPSIS) to delineate suitable sites for MAR structures. The proposed model was applied to Djibouti, a hot, dry, and water-stressed country. We identified a set of nine decision criteria and conducted a pairwise comparison survey to determine their relative importance. Additionally, the TOPSIS method was employed to integrate the decision layers and prioritize the study area. The results highlight the significance of rainfall, the slope, and the NDVI as the most influential decision parameters, while the drainage density has the least impact. A suitability analysis reveals that 16.38%, 17.96%, and 30.41% of the country have a very high, high, and moderate potential for MAR activities, respectively. Furthermore, a sensitivity analysis demonstrates the stability of the proposed model, affirming the usefulness of the generated suitability map.},\\n bibtype = {article},\\n author = {Mouhoumed, Rachid Mohamed and Ekmekcioğlu, Ömer and Başakın, Eyyup Ensar and Özger, Mehmet},\\n doi = {10.3390/w15142534},\\n journal = {Water},\\n number = {14}\\n}\",\"author_short\":[\"Mouhoumed,  R., M.\",\"Ekmekcioğlu,  Ö.\",\"Başakın,  E., E.\",\"Özger,  M.\"],\"urls\":{\"Website\":\"https://www.mdpi.com/2073-4441/15/14/2534\"},\"biburl\":\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c\",\"bibbaseid\":\"mouhoumed-ekmekciolu-baakn-zger-integratedfuzzyahptopsismodelforassessingmanagedaquiferrechargepotentialinahotdryregionacasestudyofdjiboutiatacountryscale-2023\",\"role\":\"author\",\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"Critical success factors for construction industry transition to circular economy: developing countries’ perspectives\",\"type\":\"article\",\"year\":\"2024\",\"pages\":\"4955-4974\",\"volume\":\"31\",\"websites\":\"https://www.emerald.com/insight/content/doi/10.1108/ECAM-02-2023-0129/full/html\",\"month\":\"12\",\"day\":\"6\",\"id\":\"996986a4-1dc6-3df0-ac1a-a10d398e739e\",\"created\":\"2025-03-13T11:46:31.410Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2025-03-13T11:46:31.410Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"bibtype\":\"article\",\"author\":\"Koc, Kerim and Durdyev, Serdar and Tleuken, Aidana and Ekmekcioglu, Omer and Mbachu, Jasper and Karaca, Ferhat\",\"doi\":\"10.1108/ECAM-02-2023-0129\",\"journal\":\"Engineering, Construction and Architectural Management\",\"number\":\"12\",\"bibtex\":\"@article{\\n title = {Critical success factors for construction industry transition to circular economy: developing countries’ perspectives},\\n type = {article},\\n year = {2024},\\n pages = {4955-4974},\\n volume = {31},\\n websites = {https://www.emerald.com/insight/content/doi/10.1108/ECAM-02-2023-0129/full/html},\\n month = {12},\\n day = {6},\\n id = {996986a4-1dc6-3df0-ac1a-a10d398e739e},\\n created = {2025-03-13T11:46:31.410Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2025-03-13T11:46:31.410Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n bibtype = {article},\\n author = {Koc, Kerim and Durdyev, Serdar and Tleuken, Aidana and Ekmekcioglu, Omer and Mbachu, Jasper and Karaca, Ferhat},\\n doi = {10.1108/ECAM-02-2023-0129},\\n journal = {Engineering, Construction and Architectural Management},\\n number = {12}\\n}\",\"author_short\":[\"Koc,  K.\",\"Durdyev,  S.\",\"Tleuken,  A.\",\"Ekmekcioglu,  O.\",\"Mbachu,  J.\",\"Karaca,  F.\"],\"urls\":{\"Website\":\"https://www.emerald.com/insight/content/doi/10.1108/ECAM-02-2023-0129/full/html\"},\"biburl\":\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c\",\"bibbaseid\":\"koc-durdyev-tleuken-ekmekcioglu-mbachu-karaca-criticalsuccessfactorsforconstructionindustrytransitiontocirculareconomydevelopingcountriesperspectives-2024\",\"role\":\"author\",\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"title\":\"İstanbul İçin CBS Tabanlı Makine Öğrenmesi İle Sel Duyarlılık Haritasının Oluşturulması\",\"type\":\"article\",\"year\":\"2024\",\"pages\":\"1-15\",\"volume\":\"10\",\"websites\":\"http://dergipark.org.tr/tr/doi/10.21324/dacd.1254778\",\"month\":\"1\",\"day\":\"28\",\"id\":\"9764eeb3-59b8-377c-bdf8-399df18f7753\",\"created\":\"2025-03-13T11:46:31.444Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2025-03-13T11:46:31.444Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"abstract\":\"Bu çalışma kapsamında meydana gelebilecek olası bir sel olayının gerçekleşebileceği yerin önceden tahmini ve tespiti için makine öğrenmesi yöntemleri kullanılarak coğrafi bilgi sistemleri (CBS) tabanlı bir sel duyarlılık haritalama modeli oluşturulması amaçlanmıştır. Çalışma kapsamında incelen bölge olarak ise Türkiye’nin metropol kenti olan İstanbul ili seçilmiştir. Literatürden elde edilen sel envanteriyle oluşturulan örneklem kümesi önce sel olmayan noktaların rastgele oluşturulması ile genişletilmiş olup, ardından sınıf dengesizliği rastgele alt örnekleme (RUS) tekniği ile giderilmiştir. Bu yaklaşım Türkiye’ de gerçekleştirilen sel duyarlılık haritalamaları çalışmaları için ilk kez uygulanmıştır. Rastgele orman (RF), stokastik gradyan artırma (SGB) ve XGBoost algoritmaları olmak üzere üç farklı makine öğrenmesi algoritmasının performans karşılaştırmaları gerçekleştirilmiştir. En yüksek model performansının XGBoost ile elde edildiği, bu metodu ise sırasıyla SGB ve RF’nin takip ettiği sonucuna ulaşılmıştır. Ayrıca, RF ve SGB modellerinin sel olmayan noktaların neredeyse tamamını doğru olarak bulduğu, sel olan noktalarda ise %90.67’lik bir başarı sergilediği görülmüştür. Fakat, çalışmanın esas amacını kapsayan sel gerçekleşen noktaların belirlenmesinde XGBoost modeli %92.00’lik bir başarı ile diğer iki metoda üstünlük sergilediği tespit edilmiştir. Sel olayını etkileyen parametreler incelendiğinde ise İstanbul için seli en önemli parametrenin yağış olduğu sonucuna ulaşılmış olup, yağışı sırasıyla drenaj ağına uzaklık ve eğri numarası takip etmiştir. Sonuç olarak çalışma kapsamında İstanbul’da gerçekleştirilen sel duyarlılık haritalamaları çalışmaları için ilk kez uygulanan bu çerçevenin kullanımının sayısı ve etkileri giderek artırılarak sel olaylarına karşı daha yaygın alanlara uygulanması gelecek vadedici bir yaklaşım olacaktır.\",\"bibtype\":\"article\",\"author\":\"KOYUNCU, Zehra and EKMEKCİOĞLU, Ömer\",\"doi\":\"10.21324/dacd.1254778\",\"journal\":\"Doğal Afetler ve Çevre Dergisi\",\"number\":\"1\",\"bibtex\":\"@article{\\n title = {İstanbul İçin CBS Tabanlı Makine Öğrenmesi İle Sel Duyarlılık Haritasının Oluşturulması},\\n type = {article},\\n year = {2024},\\n pages = {1-15},\\n volume = {10},\\n websites = {http://dergipark.org.tr/tr/doi/10.21324/dacd.1254778},\\n month = {1},\\n day = {28},\\n id = {9764eeb3-59b8-377c-bdf8-399df18f7753},\\n created = {2025-03-13T11:46:31.444Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2025-03-13T11:46:31.444Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n abstract = {Bu çalışma kapsamında meydana gelebilecek olası bir sel olayının gerçekleşebileceği yerin önceden tahmini ve tespiti için makine öğrenmesi yöntemleri kullanılarak coğrafi bilgi sistemleri (CBS) tabanlı bir sel duyarlılık haritalama modeli oluşturulması amaçlanmıştır. Çalışma kapsamında incelen bölge olarak ise Türkiye’nin metropol kenti olan İstanbul ili seçilmiştir. Literatürden elde edilen sel envanteriyle oluşturulan örneklem kümesi önce sel olmayan noktaların rastgele oluşturulması ile genişletilmiş olup, ardından sınıf dengesizliği rastgele alt örnekleme (RUS) tekniği ile giderilmiştir. Bu yaklaşım Türkiye’ de gerçekleştirilen sel duyarlılık haritalamaları çalışmaları için ilk kez uygulanmıştır. Rastgele orman (RF), stokastik gradyan artırma (SGB) ve XGBoost algoritmaları olmak üzere üç farklı makine öğrenmesi algoritmasının performans karşılaştırmaları gerçekleştirilmiştir. En yüksek model performansının XGBoost ile elde edildiği, bu metodu ise sırasıyla SGB ve RF’nin takip ettiği sonucuna ulaşılmıştır. Ayrıca, RF ve SGB modellerinin sel olmayan noktaların neredeyse tamamını doğru olarak bulduğu, sel olan noktalarda ise %90.67’lik bir başarı sergilediği görülmüştür. Fakat, çalışmanın esas amacını kapsayan sel gerçekleşen noktaların belirlenmesinde XGBoost modeli %92.00’lik bir başarı ile diğer iki metoda üstünlük sergilediği tespit edilmiştir. Sel olayını etkileyen parametreler incelendiğinde ise İstanbul için seli en önemli parametrenin yağış olduğu sonucuna ulaşılmış olup, yağışı sırasıyla drenaj ağına uzaklık ve eğri numarası takip etmiştir. Sonuç olarak çalışma kapsamında İstanbul’da gerçekleştirilen sel duyarlılık haritalamaları çalışmaları için ilk kez uygulanan bu çerçevenin kullanımının sayısı ve etkileri giderek artırılarak sel olaylarına karşı daha yaygın alanlara uygulanması gelecek vadedici bir yaklaşım olacaktır.},\\n bibtype = {article},\\n author = {KOYUNCU, Zehra and EKMEKCİOĞLU, Ömer},\\n doi = {10.21324/dacd.1254778},\\n journal = {Doğal Afetler ve Çevre Dergisi},\\n number = {1}\\n}\",\"author_short\":[\"KOYUNCU,  Z.\",\"EKMEKCİOĞLU,  Ö.\"],\"urls\":{\"Website\":\"http://dergipark.org.tr/tr/doi/10.21324/dacd.1254778\"},\"biburl\":\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c\",\"bibbaseid\":\"koyuncu-ekmekcolu-stanbulincbstabanlmakinerenmesileselduyarllkharitasnnoluturulmas-2024\",\"role\":\"author\",\"metadata\":{\"authorlinks\":{}},\"downloads\":0,\"html\":\"\"},{\"type\":\"inbook\",\"year\":\"2025\",\"pages\":\"217-230\",\"websites\":\"https://linkinghub.elsevier.com/retrieve/pii/B9780443238161000033\",\"publisher\":\"Elsevier\",\"id\":\"c9265a90-f1e6-3d8f-bf8b-ffacac8c44d2\",\"created\":\"2025-03-13T11:46:31.465Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2025-03-13T11:46:31.465Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"bibtype\":\"inbook\",\"author\":\"Bayhan, Kayhan and Başakın, Eyyup Ensar and Gençoğlu, Sena and Ekmekcioğlu, Ömer and Pham, Quoc Bao\",\"doi\":\"10.1016/B978-0-443-23816-1.00003-3\",\"chapter\":\"Utilization of artificial intelligence techniques in predicting air quality index\",\"title\":\"Air Pollution, Air Quality, and Climate Change\",\"bibtex\":\"@inbook{\\n type = {inbook},\\n year = {2025},\\n pages = {217-230},\\n websites = {https://linkinghub.elsevier.com/retrieve/pii/B9780443238161000033},\\n publisher = {Elsevier},\\n id = {c9265a90-f1e6-3d8f-bf8b-ffacac8c44d2},\\n created = {2025-03-13T11:46:31.465Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2025-03-13T11:46:31.465Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n bibtype = {inbook},\\n author = {Bayhan, Kayhan and Başakın, Eyyup Ensar and Gençoğlu, Sena and Ekmekcioğlu, Ömer and Pham, Quoc Bao},\\n doi = {10.1016/B978-0-443-23816-1.00003-3},\\n chapter = {Utilization of artificial 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modelling\",\"type\":\"article\",\"year\":\"2023\",\"pages\":\"106157\",\"volume\":\"164\",\"websites\":\"https://linkinghub.elsevier.com/retrieve/pii/S0925753523000991\",\"month\":\"8\",\"id\":\"d934085e-1d1f-3642-a09c-e0587e598e4e\",\"created\":\"2025-03-13T11:46:31.503Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2025-03-13T11:46:31.503Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"bibtype\":\"article\",\"author\":\"Koc, Kerim and Ekmekcioğlu, Ömer and Gurgun, Asli Pelin\",\"doi\":\"10.1016/j.ssci.2023.106157\",\"journal\":\"Safety Science\",\"bibtex\":\"@article{\\n title = {Determining susceptible body parts of construction workers due to occupational injuries using inclusive modelling},\\n type = {article},\\n year = {2023},\\n pages = {106157},\\n volume = {164},\\n websites = {https://linkinghub.elsevier.com/retrieve/pii/S0925753523000991},\\n month = {8},\\n id = {d934085e-1d1f-3642-a09c-e0587e598e4e},\\n created = {2025-03-13T11:46:31.503Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2025-03-13T11:46:31.503Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n bibtype = {article},\\n author = {Koc, Kerim and Ekmekcioğlu, Ömer and Gurgun, Asli Pelin},\\n doi = {10.1016/j.ssci.2023.106157},\\n journal = {Safety Science}\\n}\",\"author_short\":[\"Koc,  K.\",\"Ekmekcioğlu,  Ö.\",\"Gurgun,  A., 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regions\",\"type\":\"article\",\"year\":\"2023\",\"pages\":\"110429\",\"volume\":\"143\",\"websites\":\"https://linkinghub.elsevier.com/retrieve/pii/S1568494623004477\",\"month\":\"8\",\"id\":\"a62786e2-de92-3ef0-8b99-6f5939d9e8f7\",\"created\":\"2025-03-13T11:46:31.505Z\",\"file_attached\":false,\"profile_id\":\"20c924ae-23db-3c14-82eb-b74f2f99687c\",\"last_modified\":\"2025-03-13T11:46:31.505Z\",\"read\":false,\"starred\":false,\"authored\":\"true\",\"confirmed\":\"true\",\"hidden\":false,\"private_publication\":false,\"bibtype\":\"article\",\"author\":\"Pham, Quoc Bao and Ekmekcioğlu, Ömer and Ali, Sk Ajim and Koc, Kerim and Parvin, Farhana\",\"doi\":\"10.1016/j.asoc.2023.110429\",\"journal\":\"Applied Soft Computing\",\"bibtex\":\"@article{\\n title = {Examining the role of class imbalance handling strategies in predicting earthquake-induced landslide-prone regions},\\n type = {article},\\n year = {2023},\\n pages = {110429},\\n volume = {143},\\n websites = {https://linkinghub.elsevier.com/retrieve/pii/S1568494623004477},\\n month = {8},\\n id = {a62786e2-de92-3ef0-8b99-6f5939d9e8f7},\\n created = {2025-03-13T11:46:31.505Z},\\n file_attached = {false},\\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\\n last_modified = {2025-03-13T11:46:31.505Z},\\n read = {false},\\n starred = {false},\\n authored = {true},\\n confirmed = {true},\\n hidden = {false},\\n private_publication = {false},\\n bibtype = {article},\\n author = {Pham, Quoc Bao and Ekmekcioğlu, Ömer and Ali, Sk Ajim and Koc, Kerim and Parvin, Farhana},\\n doi = {10.1016/j.asoc.2023.110429},\\n journal = {Applied Soft Computing}\\n}\",\"author_short\":[\"Pham,  Q., B.\",\"Ekmekcioğlu,  Ö.\",\"Ali,  S., A.\",\"Koc,  K.\",\"Parvin,  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fa-chevron-down fa-fw\"></i> Expand/Collapse All\n          </a>\n        </li>\n        <li>\n          <a download=\"all.bib\" href=\"data:text/bibtex;base64,@article{
 title = {Additional Value of Using Satellite-Based Soil Moisture and Two Sources of Groundwater Data for Hydrological Model Calibration},
 type = {article},
 year = {2019},
 pages = {2083},
 volume = {11},
 websites = {https://doi.org/10.20944/preprints201909.0057.v1,https://www.mdpi.com/2073-4441/11/10/2083},
 month = {10},
 day = {6},
 id = {1f1437b5-a600-3dac-83af-39b0bff51562},
 created = {2020-01-21T08:33:46.339Z},
 file_attached = {true},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2023-10-07T10:42:56.512Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {Although the complexity of physically-based models continues to increase, they still need to be calibrated. In recent years, there has been an increasing interest in using new satellite technologies and products with high resolution in model evaluations and decision-making. The aim of this study is to investigate the value of different remote sensing products and groundwater level measurements in the temporal calibration of a well-known hydrologic model i.e., Hydrologiska Bryåns Vattenbalansavdelning (HBV). This has rarely been done for conceptual models, as satellite data are often used in the spatial calibration of the distributed models. Three different soil moisture products from the European Space Agency Climate Change Initiative Soil Measure (ESA CCI SM v04.4), The Advanced Microwave Scanning Radiometer on the Earth Observing System (EOS) Aqua satellite (AMSR-E), soil moisture active passive (SMAP), and total water storage anomalies from Gravity Recovery and Climate Experiment (GRACE) are collected and spatially averaged over the Moselle River Basin in Germany and France. Different combinations of objective functions and search algorithms, all targeting a good fit between observed and simulated streamflow, groundwater and soil moisture, are used to analyze the contribution of each individual source of information.},
 bibtype = {article},
 author = {Demirel, undefined and Özen, undefined and Orta, undefined and Toker, undefined and Demir, undefined and Ekmekcioğlu, undefined and Tayşi, undefined and Eruçar, undefined and Sağ, undefined and Sarı, undefined and Tuncer, undefined and Hancı, undefined and Özcan, undefined and Erdem, undefined and Koşucu, undefined and Başakın, undefined and Ahmed, undefined and Anwar, undefined and Avcuoğlu, undefined and Vanlı, undefined and Stisen, undefined and Booij, undefined},
 doi = {10.3390/w11102083},
 journal = {Water},
 number = {10}
}

@article{
 title = {Tree-based nonlinear ensemble technique to predict energy dissipation in stepped spillways},
 type = {article},
 year = {2022},
 keywords = {Energy dissipation,machine learning,skimming flow,stepped spillway,tree-based ensemble models},
 pages = {3547-3565},
 volume = {26},
 websites = {https://www.tandfonline.com/doi/full/10.1080/19648189.2020.1805024},
 month = {6},
 publisher = {Taylor & Francis},
 day = {11},
 id = {314d6a69-9f91-31a1-b9fb-496025e1232c},
 created = {2020-10-21T09:08:05.367Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2023-02-03T06:55:54.602Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 folder_uuids = {c5533b1d-36e5-4bbb-a4b5-fca0f923a0c3,5b8365e6-031b-4dee-80a0-95c1b735e3a9},
 private_publication = {false},
 abstract = {In this study, under the skimming flow regime, energy dissipation was investigated with data-driven methods. The data set obtained from the laboratory experiments were modelled by different machine learning (ML) methods, including support vector machine (SVM), K-star (K*) algorithm and artificial neural networks (ANN). Afterwards, for the first time in the literature, linear and nonlinear ensemble models were established in order to improve the accuracy of single models in predicting energy dissipation. Simple average (SA-E) and weighted average (WA-E) were performed as linear ensemble models while M5 Model Tree (M5-MTE) and Random Forest (RF-E) were used to establish non-linear ensemble models. The model results were evaluated according to performance metrics, such as Coefficient of Correlation (CC), Percent Bias (PBIAS), Performance Index (PI), Willmott’s index of agreement (WI) and Nash-Sutcliffe efficiency criteria (NSE). The NSE values are calculated as 0.986, 0.909 and 0.985 for SVM, K* and ANN models, respectively. Moreover, for the ensemble models, higher NSE values were obtained for both linear (NSESA-E = 0.9887, NSEWA-E = 0.9916) and tree-based non-linear (NSEM5 MT-E = 0.9963, NSERF-E = 0.9974) models. Overall, it can be stated that tree-based ensemble models make better predictions for energy dissipation calculation in step spilways compared to single ML methods.},
 bibtype = {article},
 author = {Ekmekcioğlu, Ömer and Başakın, Eyyup Ensar and Özger, Mehmet},
 doi = {10.1080/19648189.2020.1805024},
 journal = {European Journal of Environmental and Civil Engineering},
 number = {8}
}

@article{
 title = {Letter to the editor “comparing artificial intelligence techniques for chlorophyll-a prediction in US lakes”},
 type = {article},
 year = {2020},
 keywords = {Drought,EMD,Fuzzy logic,Prediction,Self-calibrated PDSI},
 pages = {22131-22134},
 volume = {27},
 websites = {https://link.springer.com/10.1007/s11356-020-08666-8},
 month = {6},
 day = {12},
 id = {4fe4a404-54b7-3e0d-847a-598fa0e8c05b},
 created = {2020-10-24T23:59:00.000Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2023-04-02T02:50:04.634Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 folder_uuids = {5b8365e6-031b-4dee-80a0-95c1b735e3a9},
 private_publication = {false},
 abstract = {© 2020, Springer Nature Switzerland AG. Drought is one of the most significant natural disaster and prediction of drought is a key aspect in effective management of water resources and reducing the effect of a drought with preliminary studies plays significant role. In this study, we predicted one of the meteorological drought indices, the self-calibrated Palmer Drought Severity Index (sc-PDSI), values for Adana, Turkey. First, we used adaptive neuro fuzzy inference system (ANFIS) as a standalone technique to predict sc-PDSI. Second, we used empirical mode decomposition (EMD) as a pre-processing technique to decompose the sc-PDSI time series into the sub-series and applied ANFIS to each sub-series. Following the prediction, results are summed each other and final prediction of the hybrid EMD-ANFIS method is obtained. Within the scope of the study, 1, 3and 6-months lead time sc-PDSI values are predicted. We utilized the mean square error (MSE) and Nash–Sutcliffe efficiency coefficient (NSE) as performance indicators in order to perform statistical evaluation. For ANFIS, we obtained NSE = 0.52 and NSE = 0.17 for 3-month and 6-month lead times, respectively. Also, NSE values are obtained as 0.81 and 0.77 for the hybrid model in 3-month and 6-month lead time predictions, respectively. The results revealed that the hybrid EMD-ANFIS model outperforms the standalone ANFIS model. Also, the predicted and actual sc-PDSI series investigated according to the statistical distributions. At last, error histograms of both predicted and actual series are compared according to the Kolmogorov–Smirnov test and the p values are calculated. The results illustrated the predictions are statistically significant.},
 bibtype = {article},
 author = {Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer and Mohammadi, Babak},
 doi = {10.1007/s11356-020-08666-8},
 journal = {Environmental Science and Pollution Research},
 number = {17}
}

@article{
 title = {District based flood risk assessment in Istanbul using fuzzy analytical hierarchy process},
 type = {article},
 year = {2020},
 keywords = {District prioritization,Flood risk mapping,Fuzzy analytical hierarchy process,Istanbul,Sensitivity analysis,Vulnerability and hazard},
 id = {9924798a-add7-3762-9b00-cf8713d67777},
 created = {2020-11-05T23:59:00.000Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2024-12-11T04:53:55.229Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {© 2020, Springer-Verlag GmbH Germany, part of Springer Nature. Floods, among the most frequent and severe hazards in the world, threaten the sustainability of the built environment by causing immense damage to infrastructures, buildings, economies, social activities and beyond all, cause loss of lives. Istanbul is the most densely populated industrial, commercial and cultural center of Turkey. Besides, the population of Istanbul has increased over the last decade since the city attracts immigrants from all over Turkey, along with other countries. Therefore, it is vital to prioritize the districts of Istanbul by determining flood risk mitigation strategies since flood risk management is carried out at district level units in local municipalities in Istanbul. In this study, a new hierarchical procedure that consists of thirteen flood vulnerability and hazard criteria is proposed for the generation of Istanbul’s district-based flood risk map. To obtain the criteria weights the fuzzy analytical hierarchy process (AHP) was adopted. The sensitivity analysis conducted in this study reveals the stability and robustness of the proposed fuzzy AHP model. Among all the criteria, land use and the return period of a storm event were found as the most significant criteria for vulnerability and hazard clusters, respectively. Criteria weights calculated through the fuzzy AHP method were integrated with the data taken from various institutions with respect to each district to calculate risk scores of the districts. Consequently, district risk scores were used to generate a flood risk map of Istanbul. The findings show that high-risk districts are mainly at the center and highly populated areas of the city. Moreover, the accuracy of the proposed approach was validated through observations of the significant flood events experienced in the last two decades. Thus, the fuzzy AHP method can be considered as advantageous to make a quick and regional flood risk assessment. In addition, the proposed approach is useful to mitigate flood risk along with allocating a fair budget to the local municipalities for flood risk mitigation measures. The findings of this research could also provide useful procedures for professionals of the water resources and local authorities.},
 bibtype = {article},
 author = {Ekmekcioğlu, Ö. and Koc, K. and Özger, M.},
 doi = {10.1007/s00477-020-01924-8},
 journal = {Stochastic Environmental Research and Risk Assessment}
}

@article{
 title = {Discharge coefficient equation to calculate the leakage from pipe networks},
 type = {article},
 year = {2020},
 keywords = {0000-0001-9812-9918,0000-0002-7144- 2338,0000-0002-9045-5302,civil engineering department,discharge coefficient,eyyup ensar başakin,hydraulics division,istanbul,leakage,maslak 34469,mehmet özger,orcid id,orifice,technical university,turkey,water distribution network,ömer ekmekci̇oğlu},
 pages = {1737-1746},
 volume = {10},
 id = {7c09d721-9bee-3dc1-a826-131f64bea165},
 created = {2020-12-14T11:54:59.198Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2022-03-17T14:58:11.090Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 folder_uuids = {5b8365e6-031b-4dee-80a0-95c1b735e3a9},
 private_publication = {false},
 bibtype = {article},
 author = {EKMEKCİOĞLU, Ömer and BAŞAKIN, Eyyup Ensar and ÖZGER, Mehmet},
 doi = {10.21597/jist.675015},
 journal = {Journal of the Institute of Science and Technology},
 number = {3}
}

@article{
 title = {Comparison of wavelet and empirical mode decomposition hybrid models in drought prediction},
 type = {article},
 year = {2020},
 pages = {105851},
 volume = {179},
 websites = {https://linkinghub.elsevier.com/retrieve/pii/S0168169920312722},
 month = {12},
 id = {c2d22f41-604a-3145-a04d-b6ddc44b00aa},
 created = {2021-05-08T20:59:29.945Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2022-03-17T14:23:08.501Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 folder_uuids = {5b8365e6-031b-4dee-80a0-95c1b735e3a9,3161412e-2f0c-44e8-abb8-2ff0efd3823e},
 private_publication = {false},
 bibtype = {article},
 author = {Özger, Mehmet and Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer and Hacısüleyman, Volkan},
 doi = {10.1016/j.compag.2020.105851},
 journal = {Computers and Electronics in Agriculture}
}

@article{
 title = {Drought Analysis with Machine Learning Methods},
 type = {article},
 year = {2019},
 pages = {985-991},
 volume = {25},
 websites = {http://pajes.pau.edu.tr/eng/jvi.asp?pdir=pajes&plng=eng&un=PAJES-34392},
 id = {b1343492-8627-3617-9fe6-bbf3ef8e22dd},
 created = {2021-05-08T20:59:29.953Z},
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 author = {Başakın, Eyyup Ensar and Ekmekcioğlu, ÖMER and Ozger, Mehmet},
 doi = {10.5505/pajes.2019.34392},
 journal = {Pamukkale University Journal of Engineering Sciences},
 number = {8}
}

@article{
 title = {Letter to the Editor “Estimation of global solar radiation data based on satellite-derived atmospheric parameters over the urban area of Mashhad, Iran”},
 type = {article},
 year = {2021},
 pages = {19530-19532},
 volume = {28},
 websites = {http://link.springer.com/10.1007/s11356-021-13201-4},
 month = {4},
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 author = {Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer},
 doi = {10.1007/s11356-021-13201-4},
 journal = {Environmental Science and Pollution Research},
 number = {15}
}

@article{
 title = {Stakeholder perceptions in flood risk assessment: A hybrid fuzzy AHP-TOPSIS approach for Istanbul, Turkey},
 type = {article},
 year = {2021},
 pages = {102327},
 volume = {60},
 websites = {https://linkinghub.elsevier.com/retrieve/pii/S2212420921002934},
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 bibtype = {article},
 author = {Ekmekcioğlu, Ömer and Koc, Kerim and Özger, Mehmet},
 doi = {10.1016/j.ijdrr.2021.102327},
 journal = {International Journal of Disaster Risk Reduction}
}

@article{
 title = {An integrated framework for the comprehensive evaluation of low impact development strategies},
 type = {article},
 year = {2021},
 pages = {113023},
 volume = {294},
 websites = {https://linkinghub.elsevier.com/retrieve/pii/S0301479721010859},
 month = {9},
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 author = {Koc, Kerim and Ekmekcioğlu, Ömer and Özger, Mehmet},
 doi = {10.1016/j.jenvman.2021.113023},
 journal = {Journal of Environmental Management}
}

@article{
 title = {Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers},
 type = {article},
 year = {2021},
 pages = {103896},
 volume = {131},
 month = {11},
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 bibtype = {article},
 author = {Koc, Kerim and Ekmekcioğlu, Ömer and Gurgun, Asli Pelin},
 doi = {10.1016/j.autcon.2021.103896},
 journal = {Automation in Construction},
 number = {March}
}

@article{
 title = {Comment on “Comparison of the Ability of ARIMA, WNN and SVM Models for Drought Forecasting in the Sanjiang Plain, China” by Yuhu Zhang, Huirong Yang, Hengjian Cui, and Qiuhua Chen, in Natural Resources Research DOI: 10.1007/s11053-019-09512-6},
 type = {article},
 year = {2020},
 pages = {1465-1467},
 volume = {29},
 websites = {http://link.springer.com/10.1007/s11053-020-09638-y},
 month = {4},
 day = {18},
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 author = {Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer},
 doi = {10.1007/s11053-020-09638-y},
 journal = {Natural Resources Research},
 number = {2}
}

@article{
 title = {District based flood risk assessment in Istanbul using fuzzy analytical hierarchy process},
 type = {article},
 year = {2021},
 pages = {617-637},
 volume = {35},
 websites = {http://link.springer.com/10.1007/s00477-020-01924-8},
 month = {3},
 day = {30},
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 doi = {10.1007/s00477-020-01924-8},
 journal = {Stochastic Environmental Research and Risk Assessment},
 number = {3}
}

@article{
 title = {Dalgacık Bulanık Zaman Serisi Yöntemi ile Türkiye Buğday Verimi Tahmini},
 type = {article},
 year = {2020},
 websites = {https://dergipark.org.tr/tr/doi/10.19159/tutad.685342},
 month = {10},
 day = {9},
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 doi = {10.19159/tutad.685342},
 journal = {Türkiye Tarımsal Araştırmalar Dergisi}
}

@article{
 title = {Su Dağıtım Şebekelerinde Sızma Debisi Parametrelerinin Sayısal Model ile İncelenmesi},
 type = {article},
 year = {2020},
 pages = {265-277},
 volume = {9},
 websites = {https://dergipark.org.tr/tr/doi/10.29130/dubited.779467},
 month = {12},
 day = {14},
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 author = {EKMEKCİOĞLU, Ömer and BAŞAKIN, Eyyup Ensar and ÖZGER, Mehmet},
 doi = {10.29130/dubited.779467},
 journal = {Düzce Üniversitesi Bilim ve Teknoloji Dergisi}
}

@article{
 title = {Estimation of measured evapotranspiration using data-driven methods with limited meteorological variables},
 type = {article},
 year = {2021},
 pages = {63-80},
 websites = {https://riviste.fupress.net/index.php/IJAm/article/view/1055},
 month = {8},
 day = {9},
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 abstract = {Determination of surface energy balance depends on the energy exchange between land and atmosphere. Thus, crop, soil and meteorological factors are crucial, particularly in agricultural fields. Evapotranspiration is derived from latent heat component of surface energy balance and is a key factor to clarify the energy transfer mechanism. Development of the methods and technologies for the aim of determining and measuring of evapotranspiration have been one of the main focus points for researchers. However, the direct measurement systems are not common because of economic reasons. This situation causes that different methods are used to estimate evapotranspiration, particularly in locations where no measurements are made. Thus, in this study, non-linear techniques were applied to make accurate estimations of evapotranspiration over the winter wheat canopy located in the field of Atatürk Soil Water and Agricultural Meteorology Research Institute Directorate, Kırklareli, Turkey. This is the first attempt in the literature which consist of the comparison of different machine learning methods in the evapotranspiration values obtained by the Bowen Ratio Energy Balance system. In order to accomplish this aim, support-vector machine, Adaptive neuro fuzzy inference system and Artificial neural network models have been evaluated for different input combinations. The results revealed that even with only global solar radiation data taken as an input, a high prediction accuracy can be achieved. These results are particularly advantageous in cases where the measurement of meteorological variables is limited. With the results of this study, progress can be made in the efficient use and management of water resources based on the input parameters of evapotranspiration especially for regions with limited data.},
 bibtype = {article},
 author = {Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer and Özger, Mehmet and Altınbaş, Nilcan and Şaylan, Levent},
 doi = {10.36253/ijam-1055},
 journal = {Italian Journal of Agrometeorology},
 number = {1}
}

@article{
 title = {A new insight to the wind speed forecasting: robust multi-stage ensemble soft computing approach based on pre-processing uncertainty assessment},
 type = {article},
 year = {2022},
 pages = {783-812},
 volume = {34},
 websites = {https://link.springer.com/10.1007/s00521-021-06424-6},
 month = {1},
 day = {30},
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 author = {Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer and Çıtakoğlu, Hatice and Özger, Mehmet},
 doi = {10.1007/s00521-021-06424-6},
 journal = {Neural Computing and Applications},
 number = {1}
}

@article{
 title = {Towards flood risk mapping based on multi-tiered decision making in a densely urbanized metropolitan city of Istanbul},
 type = {article},
 year = {2022},
 keywords = {flood risk management},
 pages = {103759},
 volume = {80},
 websites = {https://linkinghub.elsevier.com/retrieve/pii/S2210670722000907},
 month = {5},
 id = {1a71f979-59b4-3157-a046-ec39b6847fc2},
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 author = {Ekmekcioğlu, Ömer and Koc, Kerim and Özger, Mehmet},
 doi = {10.1016/j.scs.2022.103759},
 journal = {Sustainable Cities and Society},
 number = {November 2021}
}

@article{
 title = {Investigation of the low impact development strategies for highly urbanized area via auto-calibrated Storm Water Management Model (SWMM)},
 type = {article},
 year = {2021},
 pages = {2194-2213},
 volume = {84},
 websites = {https://iwaponline.com/wst/article/84/9/2194/84443/Investigation-of-the-low-impact-development},
 month = {11},
 day = {1},
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 last_modified = {2022-03-17T14:58:09.500Z},
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 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {This study aims to investigate the effectiveness of the low impact development (LID) practices on sustainable urban flood storm water management. We applied three LID techniques, i.e. green roof, permeable pavements and bioretention cells, on a highly urbanized watershed in Istanbul, Turkey. The EPA-SWMM was used as a hydrologic-hydraulic model and the model calibration was performed by the well-known Parameter ESTimation (PEST) tool. The rainfall-runoff events occurred between 2012 and 2020. A sensitivity analysis on the parameter selection was applied to reduce the computational cost. The Nash-Sutcliffe efficiency coefficient (NSE) was used as the objective function and it was calculated as 0.809 in the model calibration. The simulations were conducted for six different return periods of a storm event, i.e. 2, 5, 10, 25, 50 and 100 years, in which the synthetic storm event hyetographs were produced by means of the alternating block method. The results revealed that the combination of green roof and permeable pavements have the major impact on both the peak flood reduction and runoff volume reduction compared to the single LIDs. The maximum runoff reduction percentage was obtained as 56.02% for a 10 years return period of a storm event in the combination scenario.},
 bibtype = {article},
 author = {Ekmekcioğlu, Ömer and Yılmaz, Muhammet and Özger, Mehmet and Tosunoğlu, Fatih},
 doi = {10.2166/wst.2021.432},
 journal = {Water Science and Technology},
 number = {9}
}

@article{
 title = {Dalgacık Bulanık Zaman Serisi Yöntemi ile Türkiye Buğday Verimi Tahmini},
 type = {article},
 year = {2020},
 websites = {https://dergipark.org.tr/tr/doi/10.19159/tutad.685342},
 month = {10},
 day = {9},
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 doi = {10.19159/tutad.685342},
 journal = {Türkiye Tarımsal Araştırmalar Dergisi}
}

@article{
 title = {Accident prediction in construction using hybrid wavelet-machine learning},
 type = {article},
 year = {2022},
 pages = {103987},
 volume = {133},
 websites = {https://linkinghub.elsevier.com/retrieve/pii/S0926580521004386},
 month = {1},
 id = {99588def-2b13-36e7-9bde-c529510f4001},
 created = {2022-03-17T14:58:09.599Z},
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 last_modified = {2022-03-17T14:58:09.599Z},
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 authored = {true},
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 private_publication = {false},
 bibtype = {article},
 author = {Koc, Kerim and Ekmekcioğlu, Ömer and Gurgun, Asli Pelin},
 doi = {10.1016/j.autcon.2021.103987},
 journal = {Automation in Construction}
}

@article{
 title = {Exploring the practical application of genetic programming for stormwater drain inlet hydraulic efficiency estimation},
 type = {article},
 year = {2023},
 pages = {1489-1502},
 volume = {20},
 websites = {https://link.springer.com/10.1007/s13762-022-04035-9},
 month = {2},
 day = {5},
 id = {3cf253dd-b2cc-3b9a-a7b2-c193f5a98955},
 created = {2022-03-17T14:58:09.600Z},
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 last_modified = {2023-04-02T02:50:04.641Z},
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 hidden = {false},
 folder_uuids = {a5e35c5c-b2ed-46de-8abb-fc92ed72fe89},
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 bibtype = {article},
 author = {Ekmekcioğlu, Ö. and Başakın, E. E. and Özger, M.},
 doi = {10.1007/s13762-022-04035-9},
 journal = {International Journal of Environmental Science and Technology},
 number = {2}
}

@article{
 title = {Effect of data length, spin-up period and spatial model resolution on fully distributed hydrological model calibration in the Moselle basin},
 type = {article},
 year = {2022},
 pages = {759-772},
 volume = {67},
 websites = {https://www.tandfonline.com/doi/full/10.1080/02626667.2022.2046754},
 month = {4},
 day = {4},
 id = {dccfa271-8903-30cc-8139-7a5492d5ebf8},
 created = {2022-03-17T14:59:03.963Z},
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 last_modified = {2022-05-19T07:28:05.198Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 bibtype = {article},
 author = {Ekmekcioğlu, Ömer and Demirel, Mehmet Cüneyd and Booij, Martijn J.},
 doi = {10.1080/02626667.2022.2046754},
 journal = {Hydrological Sciences Journal},
 number = {5}
}

@article{
 title = {Exploring the additional value of class imbalance distributions on interpretable flash flood susceptibility prediction in the Black Warrior River basin, Alabama, United States},
 type = {article},
 year = {2022},
 pages = {127877},
 volume = {610},
 websites = {https://linkinghub.elsevier.com/retrieve/pii/S0022169422004528},
 month = {7},
 id = {d07de131-c830-3b6a-8419-deb9fcfc804e},
 created = {2022-05-19T07:28:04.915Z},
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 last_modified = {2022-05-19T07:28:04.915Z},
 read = {false},
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 bibtype = {article},
 author = {Ekmekcioğlu, Ömer and Koc, Kerim and Özger, Mehmet and Işık, Zeynep},
 doi = {10.1016/j.jhydrol.2022.127877},
 journal = {Journal of Hydrology}
}

@article{
 title = {Explainable step-wise binary classification for the susceptibility assessment of geo-hydrological hazards},
 type = {article},
 year = {2022},
 pages = {106379},
 volume = {216},
 websites = {https://linkinghub.elsevier.com/retrieve/pii/S0341816222003654},
 month = {9},
 id = {1578d4f9-0bd3-3992-995e-317ac6f6e482},
 created = {2022-05-30T05:08:07.270Z},
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 last_modified = {2022-07-22T12:07:42.619Z},
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 starred = {false},
 authored = {true},
 confirmed = {true},
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 bibtype = {article},
 author = {Ekmekcioğlu, Ömer and Koc, Kerim},
 doi = {10.1016/j.catena.2022.106379},
 journal = {CATENA}
}

@article{
 title = {Determining the water level fluctuations of Lake Van through the integrated machine learning methods},
 type = {article},
 year = {2022},
 pages = {123},
 volume = {27},
 websites = {http://www.inderscience.com/link.php?id=10047900},
 id = {896be197-b437-3e77-8354-594885d7fa3f},
 created = {2022-06-11T07:10:35.494Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2022-06-11T07:10:35.494Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 bibtype = {article},
 author = {Özger, Mehmet and Serencam, Uğur and Ekmekcioğlu, Ömer and Başakın, Eyyup Ensar},
 doi = {10.1504/IJGW.2022.10047900},
 journal = {International Journal of Global Warming},
 number = {2}
}

@article{
 title = {Prediction of construction accident outcomes based on an imbalanced dataset through integrated resampling techniques and machine learning methods},
 type = {article},
 year = {2022},
 websites = {https://www.emerald.com/insight/content/doi/10.1108/ECAM-04-2022-0305/full/html},
 month = {6},
 day = {23},
 id = {f91d7ae7-1b1e-30b1-839f-7f32719b2bb6},
 created = {2022-06-25T04:40:49.986Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2022-06-25T04:40:49.986Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 bibtype = {article},
 author = {Koc, Kerim and Ekmekcioğlu, Ömer and Gurgun, Asli Pelin},
 doi = {10.1108/ECAM-04-2022-0305},
 journal = {Engineering, Construction and Architectural Management}
}

@article{
 title = {Developing meta-heuristic optimization based ensemble machine learning algorithms for hydraulic efficiency assessment of storm water grate inlets},
 type = {article},
 year = {2022},
 keywords = {heuristics,hydraulic efficiency,meta-,optimization,storm water grate inlet,tree-},
 pages = {1-16},
 volume = {19},
 websites = {https://doi.org/10.1080/1573062X.2022.2134806},
 publisher = {Taylor & Francis},
 id = {131221d8-cdea-3e82-8344-bff0c3dd7323},
 created = {2022-11-08T15:30:39.035Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2022-11-08T15:30:39.035Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 bibtype = {article},
 author = {Ekmekcioğlu, Ömer and Başakın, Eyyup Ensar and Özger, Mehmet},
 doi = {10.1080/1573062X.2022.2134806},
 journal = {Urban Water Journal},
 number = {10}
}

@article{
 title = {Prioritizing urban water scarcity mitigation strategies based on hybrid multi-criteria decision approach under fuzzy environment},
 type = {article},
 year = {2022},
 keywords = {Fuzzy ahp,Fuzzy topsis,Multi criteria decision making (mcdm),Resilient cities,Strategy prioritization,Urban water scarcity},
 pages = {104195},
 volume = {87},
 websites = {https://linkinghub.elsevier.com/retrieve/pii/S221067072200508X},
 month = {12},
 id = {354c48fc-0839-31a3-9e31-17eef7b06716},
 created = {2022-12-22T04:32:02.258Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2023-04-02T02:50:04.621Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {This study was undertaken to be a remedy to urban water scarcity phenomena having escalated consequences with the contemporaneous effects of climate change and over-urbanization. Hence, a broad list of mitigation strategies comprising 44 action plans under seven dimensions was assessed depending upon five constraints (i.e., cost-effectiveness, time/effort required, feasibility, primary benefit, and secondary benefits). To realize the overarching aim of this research, the analytical hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) each subjected to the fuzzy set theory were employed. In this regard, the fuzzy AHP was utilized for determining the weights of constraining criteria, while the prioritization of the strategies was performed via the fuzzy TOPSIS. The results revealed that the primary benefit is the most prevailing criterion compared to its counterparts. In addition, procuring organized land use planning and limiting new growth in urban areas was found as the most promising strategy to combat urban water scarcity phenomena. The findings further highlighted the effectiveness of conducting integrated water resource planning against climate change and fostering the use of sustainable materials domestically in not only mitigating urban water scarcity but also increasing the resiliency and sustainability of the urbanized cities.},
 bibtype = {article},
 author = {Ekmekcioğlu, Ömer and Koc, Kerim and Dabanli, Ismail and Deniz, Ali},
 doi = {10.1016/j.scs.2022.104195},
 journal = {Sustainable Cities and Society},
 number = {July}
}

@article{
 title = {A multi-perspective input selection strategy for daily net ecosystem exchange predictions based on machine learning methods},
 type = {article},
 year = {2023},
 pages = {81-98},
 volume = {151},
 websites = {https://link.springer.com/10.1007/s00704-022-04265-4},
 month = {1},
 publisher = {Springer Vienna},
 day = {9},
 id = {49ffcf5c-95fb-362c-adf0-6e000ca30cca},
 created = {2022-12-24T05:28:08.882Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2023-04-02T02:50:04.643Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 bibtype = {article},
 author = {Ekmekcioğlu, Ömer and Başakın, Eyyup Ensar and Altınbaş, Nilcan and Özger, Mehmet and Yeşilköy, Serhan and Şaylan, Levent},
 doi = {10.1007/s00704-022-04265-4},
 journal = {Theoretical and Applied Climatology},
 number = {1-2}
}

@article{
 title = {Drought prediction using hybrid soft-computing methods for semi-arid region},
 type = {article},
 year = {2021},
 keywords = {Drought,EMD,Fuzzy logic,Prediction,Self-calibrated PDSI},
 pages = {2363-2371},
 volume = {7},
 websites = {https://doi.org/10.1007/s40808-020-01010-6},
 publisher = {Springer International Publishing},
 id = {047f71a7-b975-365a-b357-c0407fef5167},
 created = {2023-01-21T07:47:37.294Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2023-04-02T02:50:04.630Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 folder_uuids = {ae9cd4e8-5485-47d2-b554-9cfaef8dd381},
 private_publication = {false},
 abstract = {Drought is one of the most significant natural disaster and prediction of drought is a key aspect in effective management of water resources and reducing the effect of a drought with preliminary studies plays significant role. In this study, we predicted one of the meteorological drought indices, the self-calibrated Palmer Drought Severity Index (sc-PDSI), values for Adana, Turkey. First, we used adaptive neuro fuzzy inference system (ANFIS) as a standalone technique to predict sc-PDSI. Second, we used empirical mode decomposition (EMD) as a pre-processing technique to decompose the sc-PDSI time series into the sub-series and applied ANFIS to each sub-series. Following the prediction, results are summed each other and final prediction of the hybrid EMD-ANFIS method is obtained. Within the scope of the study, 1, 3and 6-months lead time sc-PDSI values are predicted. We utilized the mean square error (MSE) and Nash–Sutcliffe efficiency coefficient (NSE) as performance indicators in order to perform statistical evaluation. For ANFIS, we obtained NSE = 0.52 and NSE = 0.17 for 3-month and 6-month lead times, respectively. Also, NSE values are obtained as 0.81 and 0.77 for the hybrid model in 3-month and 6-month lead time predictions, respectively. The results revealed that the hybrid EMD-ANFIS model outperforms the standalone ANFIS model. Also, the predicted and actual sc-PDSI series investigated according to the statistical distributions. At last, error histograms of both predicted and actual series are compared according to the Kolmogorov–Smirnov test and the p values are calculated. The results illustrated the predictions are statistically significant.},
 bibtype = {article},
 author = {Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer and Özger, Mehmet},
 doi = {10.1007/s40808-020-01010-6},
 journal = {Modeling Earth Systems and Environment},
 number = {4}
}

@article{
 title = {Multi-criteria analysis of barriers to building information modeling (BIM) adoption for SMEs in New Zealand construction industry},
 type = {article},
 year = {2022},
 keywords = {Analytical hierarchy process,Building information modeling,Digitalization,Digitization,Innovation,Small to medium enterprises},
 websites = {https://www.emerald.com/insight/content/doi/10.1108/ECAM-03-2022-0215/full/html},
 month = {6},
 day = {28},
 id = {7212fd5b-b1b6-3e5a-8c34-177c8349dd48},
 created = {2023-04-02T02:50:03.869Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2023-04-02T02:50:03.869Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {Purpose: Building information modeling (BIM) is a prominent concept to digitalize data collection and analysis processes. Small and medium-sized enterprises (SMEs) account for a considerable percentage of the works performed in the construction industry. The adoption rate of BIM by SMEs is still, however, not at the desired level in the New Zealand construction industry. This study aims to evaluate barriers to BIM implementation for SMEs in the New Zealand construction industry. Design/methodology/approach: This study adopted four-step methodology to evaluate barriers to BIM adoption for SMEs. First, a comprehensive literature review, followed by a focus group discussion was performed to identify barriers to BIM adoption. Then, analytical hierarchy process (AHP) was used to assess identified barriers. Finally, experts’ agreements (both internal and external) were ensured by consistency analysis and Kendall’s coefficient of concordance (Kendall’s W) tests. Findings: The findings indicate that (1) interoperability between software platforms, (2) lack of government mandate on BIM usage at project level, (3) high cost of acquiring the software and licensing required to use BIM and (4) lack of client demand for adopting BIM were the most significant barriers in terms of technological, governmental, resource and cultural categories, respectively. Further investigation of the expert evaluation showed strong consistencies (each expert separately) and agreements (among experts) in each AHP matrix. Practical implications: Primary focus should be training of local market (particularly SMEs) professionals as the shortage in qualified professionals makes the country-wide adoption challenging. The publicity in the local market can help SMEs understand how BIM is leveraged for further improvements in project performance. Originality/value: Overall, this research not only provides a roadmap for the widespread adoption of BIM within SMEs in New Zealand through analysis of the barriers encountered but also highlights the power that policymakers hold over the mass adoption of BIM within SMEs.},
 bibtype = {article},
 author = {Hall, Andrew Thomas and Durdyev, Serdar and Koc, Kerim and Ekmekcioglu, Omer and Tupenaite, Laura},
 doi = {10.1108/ECAM-03-2022-0215},
 journal = {Engineering, Construction and Architectural Management}
}

@article{
 title = {Developing a novel approach for missing data imputation of solar radiation: A hybrid differential evolution algorithm based eXtreme gradient boosting model},
 type = {article},
 year = {2023},
 keywords = {Differential evolution,Extreme gradient boosting,Meteorological measurements,Missing data imputation,Solar radiation},
 volume = {280},
 id = {0498256c-ea0c-3c8f-8f58-9911b98dc048},
 created = {2023-04-02T02:50:03.882Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2023-04-02T02:50:03.882Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {Having sufficient and qualified datasets is of paramount importance in terms of understanding the internal dynamics of the nature-related phenomenon. Given the necessity to maintain the completeness of the datasets, this study introduced a novel technique containing the implementation of machine learning algorithms and a meta-heuristic optimization algorithm for imputing the gaps encountered in measurements of solar radiation which is one of the crucial meteorological variables in terms of not only climate dynamics but also energy technologies. To accomplish this aim, four different gap sizes, i.e., 5 %, 10 %, 20 %, and 30 %, have synthetically been constituted and the applicability of the extreme gradient boosting (XGBoost) configured by the differential evolution (DE) was examined for each gap size. The corresponding model was benchmarked with conventional interpolation techniques (i.e., linear and spline optimizations) and other widely applied ML algorithms (i.e., random forest and multivariate adaptive regression splines). A multi-perspective input selection strategy was considered to model the missing values based on correlation coefficients under three scenarios encompassing a total of 14 different models. The results revealed that the XGBoost-DE model generated with the solar radiation measurements of neighboring stations was found as the best-performed model in all gap sizes, i.e., 5 % (NSE: 0.950; KGE: 0.967), 10 % (NSE:0.934; KGE: 0.962), and 30 % (NSE: 0.939; KGE: 0.957), but 20 % which the highest accuracy was obtained with the RF (NSE: 0.944; KGE: 0.966). On the other hand, the interpolation techniques had the lowest accuracies among their counterparts in imputation attempts with respect to all gap size alternatives.},
 bibtype = {article},
 author = {Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer and Özger, Mehmet},
 doi = {10.1016/j.enconman.2023.116780},
 journal = {Energy Conversion and Management},
 number = {February}
}

@article{
 title = {Developing a probabilistic decision-making model for reinforced sustainable supplier selection},
 type = {article},
 year = {2023},
 keywords = {Construction industry,Innovation,Knowledge management,Lean principles,Probabilistic multi-criteria decision-making,Sustainable supply chain management},
 volume = {259},
 id = {e6213727-1338-33a1-980c-5c7f0284b9ea},
 created = {2023-04-02T02:50:03.999Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2023-04-02T02:50:03.999Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {The competitive environment and recent regulations require corporations to implement sustainable and reinforced solutions in their business operations and, thereby, sustainable supplier selection (SSS) has become a critical concern of companies. This study introduces a neoteric approach by extending the SSS framework containing the three widespread indicators, i.e., economic, social, and environmental sustainability dimensions (S), with additional three genuine aspects such as innovation (I), lean principles (L), and knowledge management (K), namely the S-ILK framework. To deal with probabilistic uncertainty, a novel Monte Carlo (MC) aided hybrid multi-criteria decision analysis model was constructed. MC simulation with Beta-PERT distribution was integrated with the Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) to identify criteria weights and perform supplier evaluations, respectively. Hence, criteria weights and supplier evaluation scores were illustrated as probability density plots instead of crisp values with MC aided decision-making model. The findings emphasized the role of economic sustainability and knowledge management capabilities of suppliers, which require a diligent investigation of life cycle cost of production and quality of knowledge management systems of suppliers. This study contributes to theory by highlighting interpersonal uncertainty through MC simulation and to practice by informing industry professionals about urgent needs for focusing on the innovation, knowledge management, and lean capabilities of suppliers. The proposed S-ILK framework can be regarded as a roadmap for companies to enhance their sustainability performance with innovative solutions, increased data quality, and continuous improvement with lean principles.},
 bibtype = {article},
 author = {Koc, Kerim and Ekmekcioğlu, Ömer and Işık, Zeynep},
 doi = {10.1016/j.ijpe.2023.108820},
 journal = {International Journal of Production Economics},
 number = {April 2022}
}

@article{
 title = {Developing a National Data-Driven Construction Safety Management Framework with Interpretable Fatal Accident Prediction},
 type = {article},
 year = {2023},
 volume = {149},
 websites = {https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-12848},
 month = {4},
 id = {f1086054-daaa-3f3f-86b2-181a2e6a236e},
 created = {2023-04-02T02:50:04.033Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2024-03-02T06:37:21.171Z},
 read = {true},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {AbstractOccupational accidents are frequent in the construction industry, containing significant risks in the working environment. Therefore, early designation, taking preventive actions, and devel...},
 bibtype = {article},
 author = {Koc, Kerim and Ekmekcioğlu, Ömer and Gurgun, Asli Pelin},
 doi = {10.1061/JCEMD4.COENG-12848},
 journal = {Journal of Construction Engineering and Management},
 number = {4}
}

@article{
 title = {Estimation of daily reference evapotranspiration by hybrid singular spectrum analysis-based stochastic gradient boosting},
 type = {article},
 year = {2023},
 keywords = {"Reference evapotranspiration","estimation","singular spectrum analysis","stochastic gradient boosting"},
 pages = {102163},
 websites = {https://doi.org/10.1016/j.mex.2023.102163},
 publisher = {Elsevier B.V.},
 id = {906b1c49-ce1c-32f2-bba5-510f7c356b9c},
 created = {2023-04-02T02:50:04.092Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2023-04-02T02:50:04.092Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 bibtype = {article},
 author = {Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer and Stoy, Paul C and Özger, Mehmet},
 doi = {10.1016/j.mex.2023.102163},
 journal = {MethodsX}
}

@article{
 title = {A hybrid MCDA approach for delineating sites suitable for artificial groundwater recharge using drywells},
 type = {article},
 year = {2023},
 keywords = {managed aquifer recharge},
 pages = {129387},
 volume = {620},
 id = {71934339-1d83-3664-b1fb-b4d5add862ef},
 created = {2023-04-02T02:50:04.108Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2023-04-02T02:50:04.108Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 bibtype = {article},
 author = {Mohamed Mouhoumed, Rachid and Ekmekcioğlu, Ömer and Özger, Mehmet},
 doi = {10.1016/j.jhydrol.2023.129387},
 journal = {Journal of Hydrology},
 number = {January}
}

@article{
 title = {Developing a Hybrid Fuzzy Decision-Making Model for Sustainable Circular Contractor Selection},
 type = {article},
 year = {2023},
 volume = {149},
 websites = {https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-13305},
 month = {10},
 id = {2e110aa4-9fac-3227-a492-88d730e7b9b6},
 created = {2023-10-07T10:42:56.273Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2023-10-08T06:12:22.756Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {The construction sector accounts for a significant proportion of natural resource consumption and waste generation. This reveals the essentiality for gravitating the operations in the industry toward more sustainable paradigms. To tackle these concerns, the circular economy (CE) model has become a central concept to render conventional production and consumption behaviors in construction projects into innovative and sustainable patterns. In construction projects, selecting the most competent contractor is of paramount importance. Hence, the present research seeks to establish a comprehensive evaluation framework for sustainable circular contractor selection based on a hybrid fuzzy multicriteria decision-making (MCDM) approach. In this respect, the fuzzy analytical hierarchy process (AHP) was adopted for assessing the CE indicators, while the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) was utilized for evaluating circularity and eligibility of contractors. The utility of the proposed framework was predicated with regard to hydropower projects due to several environmental challenges encountered in the corresponding subsector. The results show that the contractors can be circular only if they have strong financial viability, develop strategies to implement ReSOLVE (regenerate, share, optimize, loop, virtualize, exchange), adopt specific construction methods to CE (e.g., modular construction), and propose sustainable innovative solutions. Overall, the proposed hybrid fuzzy MCDM framework can be used as a more systematic and transparent approach for selecting the most circular and sustainable contractors , contributing to the preservation of earth's resources. Given the current contractors' limited capacity to address circularity and sustainability concerns, the findings of this study can be regarded as a roadmap and contributes to practice by achieving circular and sustainable construction objectives with waste reduction, cost savings, and environmental benefits.},
 bibtype = {article},
 author = {Koc, Kerim and Ekmekcioglu, Ömer and Işık, Zeynep},
 doi = {10.1061/JCEMD4.COENG-13305},
 journal = {Journal of Construction Engineering and Management},
 number = {10}
}

@article{
 title = {Providing a comprehensive understanding of missing data imputation processes in evapotranspiration-related research: a systematic literature review},
 type = {article},
 year = {2023},
 keywords = {eddy covariance,evapotranspiration,gap filling,missing data imputation,multiple imputation},
 pages = {1-16},
 volume = {00},
 websites = {https://doi.org/10.1080/02626667.2023.2249456},
 publisher = {Taylor & Francis},
 id = {01a6b6a0-0798-3ac4-96af-d2f52912f73b},
 created = {2023-10-07T10:42:56.276Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2023-10-07T10:42:56.276Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {This study aimed to review the existing research focalizing on the missing data imputation techniques for the systems enabling actual evapotranspiration calculation (such as eddy covariance, Bowen ratio, and lysimeters) and divergent evapotranspiration related variables, i.e. temperature, wind speed, humidity, and solar radiation. Thus, the Scopus engine was utilized to scan the entire literature and 62 articles were diligently investigated. Results show classical approaches have been widely used by researchers due to their ease of implementation. However, the applicability and validity of these methods heavily rely on assumptions made about the distribution and characteristics of missing data. Hence, advanced imputation techniques produce more accurate outcomes as they handle complex and non-linear problems. Also, current trends embraced by the research community revealed that employing deep learning techniques and incorporating explainable artificial intelligence into imputations have significant potential to make insightful contributions to the body of knowledge.},
 bibtype = {article},
 author = {Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer and Özger, Mehmet},
 doi = {10.1080/02626667.2023.2249456},
 journal = {Hydrological Sciences Journal},
 number = {00}
}

@article{
 title = {Drought Forecasting Using Integrated Variational Mode Decomposition and Extreme Gradient Boosting},
 type = {article},
 year = {2023},
 pages = {3413},
 volume = {15},
 websites = {https://www.mdpi.com/2073-4441/15/19/3413},
 month = {9},
 day = {28},
 id = {05b4b25e-a46d-32f3-853a-64189710c79a},
 created = {2023-11-16T17:08:35.433Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2023-11-16T17:08:35.433Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {The current study seeks to conduct time series forecasting of droughts by means of the state-of-the-art XGBoost algorithm. To explore the drought variability in one of the semi-arid regions of Turkey, i.e., Denizli, the self-calibrated Palmer Drought Severity Index (sc-PDSI) values were used and projections were made for different horizons, including short-term (1-month: t + 1), mid-term (3-months: t + 3 and 6-months: t + 6), and long-term (12-months: t + 12) periods. The original sc-PDSI time series was subjected to the partial autocorrelation function to identify the input configurations and, accordingly, one- (t − 1) and two-month (t − 2) lags were used to perform the forecast of the targeted outcomes. This research further incorporated the recently introduced variational mode decomposition (VMD) for signal processing into the predictive model to enhance the accuracy. The proposed model was not only benchmarked with the standalone XGBoost but also with the model generated by its hybridization with the discrete wavelet transform (DWT). The overall results revealed that the VMD-XGBoost model outperformed its counterparts in all lead-time forecasts with NSE values of 0.9778, 0.9405, 0.8476, and 0.6681 for t + 1, t + 3, t + 6, and t + 12, respectively. Transparency of the proposed hybrid model was further ensured by the Mann–Whitney U test, highlighting the results as statistically significant.},
 bibtype = {article},
 author = {Ekmekcioğlu, Ömer},
 doi = {10.3390/w15193413},
 journal = {Water},
 number = {19}
}

@article{
 title = {On the identification of most appropriate green roof types for urbanized cities using multi-tier decision analysis: A case study of Istanbul, Turkey},
 type = {article},
 year = {2023},
 pages = {104707},
 volume = {96},
 websites = {https://linkinghub.elsevier.com/retrieve/pii/S2210670723003189},
 month = {9},
 id = {44f120c2-d788-3a68-9278-ddc8bef7f8d6},
 created = {2023-11-22T08:25:33.432Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2023-11-22T08:25:33.432Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 bibtype = {article},
 author = {Ekmekcioğlu, Ömer},
 doi = {10.1016/j.scs.2023.104707},
 journal = {Sustainable Cities and Society}
}

@article{
 title = {Discovering the Perception Differences of Stakeholders on the Sustainable and Innovative Stormwater Management Practices},
 type = {article},
 year = {2024},
 websites = {https://link.springer.com/10.1007/s11269-024-03783-2},
 month = {2},
 day = {10},
 id = {e263adbf-6115-3600-a3f8-7109ba989855},
 created = {2024-02-23T14:28:00.060Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2024-02-23T14:28:00.060Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {The overarching aim of the present work is to explore the perception differences of stakeholders, i.e., municipalities (MN), water administrations (WS), non-governmental organizations (NGO), and universities (UN), playing vital roles in the decision mechanisms regarding one of the sustainable flood mitigation techniques, i.e., low impact development (LID) practices. As being rewarding alternative to conventional drainage techniques, four different LID strategies, i.e., green roof (GR), bioretention cells (BC), permeable pavement (PP), and infiltration trench (IT), and three of their combinations were adopted to the densely urbanized Ayamama River basin, Istanbul, Turkey. The performances of the LIDs were comprehensively evaluated based on three pillars of sustainability (i.e., social, economic, and environmental) using a hybrid multi-criteria decision-making (MCDM) framework containing the implementation of fuzzy analytical hierarchy process (fuzzy AHP) and the VIKOR (VIse KriterijumsaOptimiz acija I Kompromisno Resenje) for finding the weights of constraining criteria and prioritizing the LID scenarios, respectively. The major outcomes of this research showed that experts from MN, WS, and UN put forward the environmental dimension of sustainability, whereas respondents from NGO concentrated on the social aspect. Furthermore, MN and WS highlighted initial investment cost as the most determining criterion in optimal LID selection. On the other hand, criteria weights regarding the judgments of the experts attended from NGO revealed the significance of community resistance in specifying the optimal LID practices, while aesthetic appearance was the major concern of the academia. Hence, the present study, as an initial attempt, enabled critical standpoints for discovering perceptions of stakeholders.},
 bibtype = {article},
 author = {Ekmekcioğlu, Ömer},
 doi = {10.1007/s11269-024-03783-2},
 journal = {Water Resources Management}
}

@article{
 title = {CBS Tabanlı Melez Makine Öğrenmesi Uygulamalarının Ani Sel Duyarlılık Haritalamasında Kullanımı},
 type = {article},
 year = {2023},
 pages = {1067-1084},
 volume = {13},
 websites = {http://dergipark.org.tr/tr/doi/10.21597/jist.1225104},
 month = {6},
 day = {1},
 id = {5a86d94f-8d34-36a9-be80-89c396836bc7},
 created = {2024-03-17T00:33:15.235Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2024-03-17T00:33:15.235Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {Bu çalışmada Kentucky Nehri havzasında son yirmi yılda meydana gelen ani sel baskınları kayıtlarına dayanarak makine öğrenmesi yöntemleri kullanılarak taşkın tehlike haritalamasının yapılması amaçlanmıştır. Tahminlerin gerçekleştirilebilmesi için yaygın olarak kullanılan ve pratik bir algoritma olan rastgele orman (RF) yöntemi kullanılmıştır. Ayrıca, bu yöntemin içsel parametreleri (ağaç sayısı ve maksimum ağaç derinliği) ise parçacık sürü optimizasyonu (PSO) algoritması ile optimize edilmiştir. Bu bağlamda 343 adet geçmiş ani sel kayıtlarına ilaveten havza sınırları içerisinde yer alacak şekilde aynı sayıda rastgele nokta atanmıştır. Tüm bu noktalara 12 adet ani sel tehlikesini tetikleyecek faktörler tanıtılmış olup, tahminler bu doğrultuda gerçekleştirilmiştir. Tahmin sonuçları birçok performans değerlendirme indikatörü göz önüne alınarak analiz edildiğinde melez PSO-RF modelinin test veri setinde oldukça başarılı sonuçlar gösterdiği görülmüştür. Öyle ki hem ani sel olan noktalar hem de ani sel gerçekleşmeyen noktalar %70 oranında doğruluk ile tahmin edilmiştir. Yapılan detaylı değerlendirmeler sonucu ise ikili sınıflandırma problemlerinde önemli bir gösterge olan AUROC değeri ise 0.79 olarak hesaplanmıştır. Ayrıca, ani selleri tetikleyen faktörlerin sonuçlar üzerindeki tekil etkileri incelendiğinde şiddetli yağış faktörü en etkili değişken olarak bulunmuş olup, onu sırasıyla topoğrafya, NDVI ve eğri numarası faktörleri izlemiştir. Öte yandan, litoloji faktörünün ani sellerin modellenmesi üzerindeki etkisi ise diğer faktörlere göre oldukça az olduğu sonucuna varılmıştır. Tüm bu bulgular ışığında elde edilen sonuçlar hem taşkın tehlike haritalaması literatürüne katkı yapacak, hem de ilgili bölgede yaşanacak gelecek ani sel olayları meydana gelmeden alınması gereken tedbirler ile ilgili yol gösterici nitelikte olacaktır.},
 bibtype = {article},
 author = {Koyuncu, Zehra and Ekmekcioğlu, Ömer},
 doi = {10.21597/jist.1225104},
 journal = {Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi},
 number = {2}
}

@article{
 title = {Predicting Cost Impacts of Nonconformances in Construction Projects Using Interpretable Machine Learning},
 type = {article},
 year = {2024},
 volume = {150},
 websites = {https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-13857},
 month = {1},
 id = {5c439867-da9d-3a0a-b5e4-5970cf006ae4},
 created = {2024-04-29T19:12:19.044Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2024-04-29T19:12:19.044Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 bibtype = {article},
 author = {Koc, Kerim and Budayan, Cenk and Ekmekcioğlu, Ömer and Tokdemir, Onur Behzat},
 doi = {10.1061/JCEMD4.COENG-13857},
 journal = {Journal of Construction Engineering and Management},
 number = {1}
}

@article{
 title = {An integrated groundwater vulnerability and artificial recharge site suitability assessment using GIS multi-criteria decision making approach in Kayseri region, Turkey},
 type = {article},
 year = {2024},
 pages = {39794-39822},
 volume = {31},
 websites = {https://link.springer.com/10.1007/s11356-024-33809-6},
 month = {6},
 day = {4},
 id = {3fd4989d-d6c1-3878-a997-ab29c38386a8},
 created = {2025-03-13T11:46:31.240Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2025-03-13T11:46:31.240Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {Groundwater resources worldwide face significant challenges that require urgent implementation of sustainable measures for effective long-term management. Managed aquifer recharge (MAR) is regarded as one of the most promising management technologies to address the degradation of groundwater resources. However, in urban aquifers, locating suitable areas that are least vulnerable to contamination for MAR implementation is complex and challenging. Hence, the present study proposes a framework encapsulating the combined assessment of groundwater vulnerability and MAR site suitability analysis to pinpoint the most featured areas for installing drywells in Kayseri, Turkey. To extrapolate the vulnerable zones, not only the original DRASTIC but also its multi-criteria decision-making (MCDA)–based modified variants were evaluated with regard to different hydrochemical parameters using the area under the receiver operating characteristic (ROC) curve (AUC). Besides, the fuzzy analytical hierarchy process (FAHP) rationale was adopted to signify the importance level of criteria and the robustness of the framework was highlighted with sensitivity analysis. In addition, the decision layers and the attained vulnerability layer were combined using the weighted overlay (WOA). The findings indicate that the DRASTIC-SWARA correlates well with the arsenic (AUC = 0.856) and chloride (AUC = 0.648) and was adopted as the vulnerability model. Groundwater quality parameters such as chloride and sodium adsorption ratio, as well as the vadose zone thickness, were found to be the most significant decision parameters with importance levels of 16.75%, 14.51%, and 15.73%, respectively. Overall, 28.24% of the study area was unsuitable for recharge activities with high to very high vulnerability, while the remaining part was further prioritized into low to high suitability classes for MAR application. The proposed framework offers valuable tool to decision-makers for the delineation of favorable MAR sites with minimized susceptibility to contamination.},
 bibtype = {article},
 author = {Mouhoumed, Rachid Mohamed and Ekmekcioğlu, Ömer and Özger, Mehmet},
 doi = {10.1007/s11356-024-33809-6},
 journal = {Environmental Science and Pollution Research},
 number = {27}
}

@article{
 title = {Coupling Different Machine Learning and Meta-Heuristic Optimization Techniques to Generate the Snow Avalanche Susceptibility Map in the French Alps},
 type = {article},
 year = {2024},
 pages = {3247},
 volume = {16},
 websites = {https://www.mdpi.com/2073-4441/16/22/3247},
 month = {11},
 day = {12},
 id = {8818e78e-15fe-3708-b322-dfd15322ce93},
 created = {2025-03-13T11:46:31.242Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2025-03-13T11:46:31.242Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {The focus of this study is to introduce a hybrid predictive framework encompassing different meta-heuristic optimization and machine learning techniques to identify the regions susceptible to snow avalanches. To accomplish this aim, the present research sought to acquire the best-performed model among nine different hybrid scenarios encompassing three different meta-heuristics, namely particle swarm optimization (PSO), gravitational search algorithm (GSA), and Cuckoo Search (CS), and three different ML approaches, i.e., support vector classification (SVC), stochastic gradient boosting (SGB), and k-nearest neighbors (KNN), pertaining to different predictive families. According to diligent analysis performed with regard to the blinded testing set, the PSO-SGB illustrated the most satisfactory predictive performance with an accuracy of 0.815, while the precision and recall were found to be 0.824 and 0.821, respectively. The F1-score of the predictions was found to be 0.821, and the area under the receiver operating curve (AUC) was obtained to be 0.9. Despite attaining similar predictive success via the CS-SGB model, the time-efficiency analysis underscored the PSO-SGB, as the corresponding process consumed considerably less computational time compared to its counterpart. The SHapley Additive exPlanations (SHAP) implementation further informed that slope, elevation, and wind speed are the most contributing attributes to detecting snow avalanche susceptibility in the French Alps.},
 bibtype = {article},
 author = {Kayhan, Enes Can and Ekmekcioğlu, Ömer},
 doi = {10.3390/w16223247},
 journal = {Water},
 number = {22}
}

@article{
 title = {A holistic multi-tiered decision framework for evaluating rainwater harvesting potential in arid regions: A case study of the southeastern basin of Djibouti},
 type = {article},
 year = {2024},
 pages = {101090},
 volume = {25},
 websites = {https://linkinghub.elsevier.com/retrieve/pii/S2352801X24000134},
 month = {5},
 id = {0f26e781-4606-30f4-9793-baad76a0abb2},
 created = {2025-03-13T11:46:31.300Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2025-03-13T11:46:31.300Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 bibtype = {article},
 author = {Mouhoumed, Rachid Mohamed and Ekmekcioğlu, Ömer and Özger, Mehmet},
 doi = {10.1016/j.gsd.2024.101090},
 journal = {Groundwater for Sustainable Development}
}

@article{
 title = {Integrated Fuzzy AHP-TOPSIS Model for Assessing Managed Aquifer Recharge Potential in a Hot Dry Region: A Case Study of Djibouti at a Country Scale},
 type = {article},
 year = {2023},
 pages = {2534},
 volume = {15},
 websites = {https://www.mdpi.com/2073-4441/15/14/2534},
 month = {7},
 day = {10},
 id = {bda39e28-d536-3a77-a479-0ad6d53bfd57},
 created = {2025-03-13T11:46:31.391Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2025-03-13T11:46:31.391Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {Given the prevailing arid climate and rapid population growth, groundwater resources face unprecedented challenges globally, including depletion, seawater intrusion, and contamination. Managed aquifer recharge (MAR) technologies have emerged as valuable solutions to address these pressing issues. However, identifying suitable regions for MAR activities is a complex task, particularly at the country level. Therefore, in this study, we propose a robust approach that combines the fuzzy analytical hierarchy process (AHP) and the technique for order of preference by similarity to ideal solution (TOPSIS) to delineate suitable sites for MAR structures. The proposed model was applied to Djibouti, a hot, dry, and water-stressed country. We identified a set of nine decision criteria and conducted a pairwise comparison survey to determine their relative importance. Additionally, the TOPSIS method was employed to integrate the decision layers and prioritize the study area. The results highlight the significance of rainfall, the slope, and the NDVI as the most influential decision parameters, while the drainage density has the least impact. A suitability analysis reveals that 16.38%, 17.96%, and 30.41% of the country have a very high, high, and moderate potential for MAR activities, respectively. Furthermore, a sensitivity analysis demonstrates the stability of the proposed model, affirming the usefulness of the generated suitability map.},
 bibtype = {article},
 author = {Mouhoumed, Rachid Mohamed and Ekmekcioğlu, Ömer and Başakın, Eyyup Ensar and Özger, Mehmet},
 doi = {10.3390/w15142534},
 journal = {Water},
 number = {14}
}

@article{
 title = {Critical success factors for construction industry transition to circular economy: developing countries’ perspectives},
 type = {article},
 year = {2024},
 pages = {4955-4974},
 volume = {31},
 websites = {https://www.emerald.com/insight/content/doi/10.1108/ECAM-02-2023-0129/full/html},
 month = {12},
 day = {6},
 id = {996986a4-1dc6-3df0-ac1a-a10d398e739e},
 created = {2025-03-13T11:46:31.410Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2025-03-13T11:46:31.410Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 bibtype = {article},
 author = {Koc, Kerim and Durdyev, Serdar and Tleuken, Aidana and Ekmekcioglu, Omer and Mbachu, Jasper and Karaca, Ferhat},
 doi = {10.1108/ECAM-02-2023-0129},
 journal = {Engineering, Construction and Architectural Management},
 number = {12}
}

@article{
 title = {İstanbul İçin CBS Tabanlı Makine Öğrenmesi İle Sel Duyarlılık Haritasının Oluşturulması},
 type = {article},
 year = {2024},
 pages = {1-15},
 volume = {10},
 websites = {http://dergipark.org.tr/tr/doi/10.21324/dacd.1254778},
 month = {1},
 day = {28},
 id = {9764eeb3-59b8-377c-bdf8-399df18f7753},
 created = {2025-03-13T11:46:31.444Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2025-03-13T11:46:31.444Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {Bu çalışma kapsamında meydana gelebilecek olası bir sel olayının gerçekleşebileceği yerin önceden tahmini ve tespiti için makine öğrenmesi yöntemleri kullanılarak coğrafi bilgi sistemleri (CBS) tabanlı bir sel duyarlılık haritalama modeli oluşturulması amaçlanmıştır. Çalışma kapsamında incelen bölge olarak ise Türkiye’nin metropol kenti olan İstanbul ili seçilmiştir. Literatürden elde edilen sel envanteriyle oluşturulan örneklem kümesi önce sel olmayan noktaların rastgele oluşturulması ile genişletilmiş olup, ardından sınıf dengesizliği rastgele alt örnekleme (RUS) tekniği ile giderilmiştir. Bu yaklaşım Türkiye’ de gerçekleştirilen sel duyarlılık haritalamaları çalışmaları için ilk kez uygulanmıştır. Rastgele orman (RF), stokastik gradyan artırma (SGB) ve XGBoost algoritmaları olmak üzere üç farklı makine öğrenmesi algoritmasının performans karşılaştırmaları gerçekleştirilmiştir. En yüksek model performansının XGBoost ile elde edildiği, bu metodu ise sırasıyla SGB ve RF’nin takip ettiği sonucuna ulaşılmıştır. Ayrıca, RF ve SGB modellerinin sel olmayan noktaların neredeyse tamamını doğru olarak bulduğu, sel olan noktalarda ise %90.67’lik bir başarı sergilediği görülmüştür. Fakat, çalışmanın esas amacını kapsayan sel gerçekleşen noktaların belirlenmesinde XGBoost modeli %92.00’lik bir başarı ile diğer iki metoda üstünlük sergilediği tespit edilmiştir. Sel olayını etkileyen parametreler incelendiğinde ise İstanbul için seli en önemli parametrenin yağış olduğu sonucuna ulaşılmış olup, yağışı sırasıyla drenaj ağına uzaklık ve eğri numarası takip etmiştir. Sonuç olarak çalışma kapsamında İstanbul’da gerçekleştirilen sel duyarlılık haritalamaları çalışmaları için ilk kez uygulanan bu çerçevenin kullanımının sayısı ve etkileri giderek artırılarak sel olaylarına karşı daha yaygın alanlara uygulanması gelecek vadedici bir yaklaşım olacaktır.},
 bibtype = {article},
 author = {KOYUNCU, Zehra and EKMEKCİOĞLU, Ömer},
 doi = {10.21324/dacd.1254778},
 journal = {Doğal Afetler ve Çevre Dergisi},
 number = {1}
}

@inbook{
 type = {inbook},
 year = {2025},
 pages = {217-230},
 websites = {https://linkinghub.elsevier.com/retrieve/pii/B9780443238161000033},
 publisher = {Elsevier},
 id = {c9265a90-f1e6-3d8f-bf8b-ffacac8c44d2},
 created = {2025-03-13T11:46:31.465Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2025-03-13T11:46:31.465Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 bibtype = {inbook},
 author = {Bayhan, Kayhan and Başakın, Eyyup Ensar and Gençoğlu, Sena and Ekmekcioğlu, Ömer and Pham, Quoc Bao},
 doi = {10.1016/B978-0-443-23816-1.00003-3},
 chapter = {Utilization of artificial intelligence techniques in predicting air quality index},
 title = {Air Pollution, Air Quality, and Climate Change}
}

@article{
 title = {Determining susceptible body parts of construction workers due to occupational injuries using inclusive modelling},
 type = {article},
 year = {2023},
 pages = {106157},
 volume = {164},
 websites = {https://linkinghub.elsevier.com/retrieve/pii/S0925753523000991},
 month = {8},
 id = {d934085e-1d1f-3642-a09c-e0587e598e4e},
 created = {2025-03-13T11:46:31.503Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2025-03-13T11:46:31.503Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 bibtype = {article},
 author = {Koc, Kerim and Ekmekcioğlu, Ömer and Gurgun, Asli Pelin},
 doi = {10.1016/j.ssci.2023.106157},
 journal = {Safety Science}
}

@article{
 title = {Examining the role of class imbalance handling strategies in predicting earthquake-induced landslide-prone regions},
 type = {article},
 year = {2023},
 pages = {110429},
 volume = {143},
 websites = {https://linkinghub.elsevier.com/retrieve/pii/S1568494623004477},
 month = {8},
 id = {a62786e2-de92-3ef0-8b99-6f5939d9e8f7},
 created = {2025-03-13T11:46:31.505Z},
 file_attached = {false},
 profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},
 last_modified = {2025-03-13T11:46:31.505Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 bibtype = {article},
 author = {Pham, Quoc Bao and Ekmekcioğlu, Ömer and Ali, Sk Ajim and Koc, Kerim and Parvin, Farhana},
 doi = {10.1016/j.asoc.2023.110429},
 journal = {Applied Soft Computing}
}\">\n            <i class=\"fa fa-download fa-fw\"></i> Download BibTeX\n          </a>\n        </li>\n        <li>\n          <a href=\"//bibbase.org/rss?bib=\">\n            <i class=\"fa fa-rss fa-fw\"></i> RSS Feed\n          </a>\n          </li>\n      </ul>\n      </li>\n\n      \n\n\n      \n    </ul>\n\n\n    <div class=\"alert alert-success bibbase_msg\" id=\"bibbase_msg_embed\"\n         style=\"display: none;\">\n\n      Excellent! Next you can\n      <a href=\"/network/register?next=/network/newSiteFromTemplate%3Fbiburl=\"\n      >create a new website with this list</a>, or\n      embed it in an existing web page by copying &amp; pasting\n      any of the following snippets.\n\n      <div style=\"text-align: left; margin-top: 1em;\">\n        <strong>JavaScript</strong>\n        <span class=\"comment recommended\">(easiest)</span>\n        <div class=\"well well-small\">\n          <code>\n            &lt;script src=\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c?jsonp=1&amp;jsonp=1\"&gt;&lt;/script&gt;\n          </code>\n        </div>\n\n        <strong>PHP</strong>\n        <div class=\"well well-small\">\n          <code>\n            &lt;?php\n            $contents = file_get_contents(\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c?jsonp=1\");\n            print_r($contents);\n            ?&gt;\n          </code>\n        </div>\n\n        <strong>iFrame</strong>\n        <span class=\"comment\">(not recommended)</span>\n        <div class=\"well well-small\">\n          <code>\n            &lt;iframe src=\"https://bibbase.org/service/mendeley/20c924ae-23db-3c14-82eb-b74f2f99687c?jsonp=1\"&gt;&lt;/iframe&gt;\n          </code>\n        </div>\n\n        <p>\n          For more details see the <a href=\"//bibbase.org/help\">documention</a>.\n        </p>\n      </div>\n    </div>\n\n    <div class=\"alert alert-success bibbase_msg\" id=\"bibbase_msg_preview\"\n         style=\"display: none;\">\n\n      This is a preview! To use this list on your own web site\n      or create a new web site from it,\n      <a href=\"/network/register?next=/network/newAccountWithFile%3FfileId=\"\n      >create a free account</a>. The file will be added\n      and you will be able to edit it in the File Manager.\n      We will show you instructions once you've created your account.\n    </div>\n\n    <div class=\"alert alert-warning bibbase_msg\" id=\"bibbase_msg_mendeley1\"\n         style=\"display: none;\">\n\n      <p>To the site owner:</p>\n\n      <p><strong>Action required!</strong> Mendeley is changing its\n        API. In order to keep using Mendeley with BibBase past April\n        14th, you need to:\n        <ol>\n          <li>renew the authorization for BibBase on Mendeley, and</li>\n          <li>update the BibBase URL\n            in your page the same way you did when you initially set up\n            this page.\n          </li>\n        </ol>\n      </p>\n\n      <p>\n        <a href=\"http://bibbase.org/cgi-bin/mendeley2/get.py\">\n          <i class=\"fa fa-angle-double-right\"></i>\n          Fix it now</a>\n      </p>\n    </div>\n\n  </div>\n\n\n  <div id=\"bibbase_body\">\n    \n  \n  <div class=\"bibbase_group_whole\" id=\"group_2025\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2025')\"\n      onkeypress=\"toggleGroup('group_2025')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2025</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"bayhan-baakn-genolu-ekmekciolu-pham-airpollutionairqualityandclimatechange-2025\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/B9780443238161000033\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'bayhan-baakn-genolu-ekmekciolu-pham-airpollutionairqualityandclimatechange-2025', 'https://linkinghub.elsevier.com/retrieve/pii/B9780443238161000033', event);\">\n    Utilization of artificial intelligence techniques in predicting air quality index.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Bayhan,  K.; Başakın,  E., E.; Gençoğlu,  S.; Ekmekcioğlu,  Ö.;  and Pham,  Q., B.\n</span>\n\n  \n\n</span>\n\n  Air Pollution, Air Quality, and Climate Change, pages 217-230. Elsevier,  2025.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/B9780443238161000033\"\n     onclick=\"log_download('bayhan-baakn-genolu-ekmekciolu-pham-airpollutionairqualityandclimatechange-2025', 'https://linkinghub.elsevier.com/retrieve/pii/B9780443238161000033', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Air Pollution, Air Quality, and Climate Change [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/B978-0-443-23816-1.00003-3\"\n     onclick=\"log_download('bayhan-baakn-genolu-ekmekciolu-pham-airpollutionairqualityandclimatechange-2025', 'http://doi.org/10.1016/B978-0-443-23816-1.00003-3', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/bayhan-baakn-genolu-ekmekciolu-pham-airpollutionairqualityandclimatechange-2025\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('bayhan-baakn-genolu-ekmekciolu-pham-airpollutionairqualityandclimatechange-2025')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inbook{\n type = {inbook},\n year = {2025},\n pages = {217-230},\n websites = {https://linkinghub.elsevier.com/retrieve/pii/B9780443238161000033},\n publisher = {Elsevier},\n id = {c9265a90-f1e6-3d8f-bf8b-ffacac8c44d2},\n created = {2025-03-13T11:46:31.465Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2025-03-13T11:46:31.465Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n bibtype = {inbook},\n author = {Bayhan, Kayhan and Başakın, Eyyup Ensar and Gençoğlu, Sena and Ekmekcioğlu, Ömer and Pham, Quoc Bao},\n doi = {10.1016/B978-0-443-23816-1.00003-3},\n chapter = {Utilization of artificial intelligence techniques in predicting air quality index},\n title = {Air Pollution, Air Quality, and Climate Change}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2024\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2024')\"\n      onkeypress=\"toggleGroup('group_2024')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2024</span>\n      <span class=\"bibbase_group_count\">\n        \n        (7)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"ekmekciolu-discoveringtheperceptiondifferencesofstakeholdersonthesustainableandinnovativestormwatermanagementpractices-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://link.springer.com/10.1007/s11269-024-03783-2\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ekmekciolu-discoveringtheperceptiondifferencesofstakeholdersonthesustainableandinnovativestormwatermanagementpractices-2024', 'https://link.springer.com/10.1007/s11269-024-03783-2', event);\">\n    Discovering the Perception Differences of Stakeholders on the Sustainable and Innovative Stormwater Management Practices.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ekmekcioğlu,  Ö.\n</span>\n\n  \n\n</span>\n\n  <i>Water Resources Management</i>. 2 2024.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://link.springer.com/10.1007/s11269-024-03783-2\"\n     onclick=\"log_download('ekmekciolu-discoveringtheperceptiondifferencesofstakeholdersonthesustainableandinnovativestormwatermanagementpractices-2024', 'https://link.springer.com/10.1007/s11269-024-03783-2', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Discovering the Perception Differences of Stakeholders on the Sustainable and Innovative Stormwater Management Practices [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1007/s11269-024-03783-2\"\n     onclick=\"log_download('ekmekciolu-discoveringtheperceptiondifferencesofstakeholdersonthesustainableandinnovativestormwatermanagementpractices-2024', 'http://doi.org/10.1007/s11269-024-03783-2', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ekmekciolu-discoveringtheperceptiondifferencesofstakeholdersonthesustainableandinnovativestormwatermanagementpractices-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ekmekciolu-discoveringtheperceptiondifferencesofstakeholdersonthesustainableandinnovativestormwatermanagementpractices-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Discovering the Perception Differences of Stakeholders on the Sustainable and Innovative Stormwater Management Practices},\n type = {article},\n year = {2024},\n websites = {https://link.springer.com/10.1007/s11269-024-03783-2},\n month = {2},\n day = {10},\n id = {e263adbf-6115-3600-a3f8-7109ba989855},\n created = {2024-02-23T14:28:00.060Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2024-02-23T14:28:00.060Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {The overarching aim of the present work is to explore the perception differences of stakeholders, i.e., municipalities (MN), water administrations (WS), non-governmental organizations (NGO), and universities (UN), playing vital roles in the decision mechanisms regarding one of the sustainable flood mitigation techniques, i.e., low impact development (LID) practices. As being rewarding alternative to conventional drainage techniques, four different LID strategies, i.e., green roof (GR), bioretention cells (BC), permeable pavement (PP), and infiltration trench (IT), and three of their combinations were adopted to the densely urbanized Ayamama River basin, Istanbul, Turkey. The performances of the LIDs were comprehensively evaluated based on three pillars of sustainability (i.e., social, economic, and environmental) using a hybrid multi-criteria decision-making (MCDM) framework containing the implementation of fuzzy analytical hierarchy process (fuzzy AHP) and the VIKOR (VIse KriterijumsaOptimiz acija I Kompromisno Resenje) for finding the weights of constraining criteria and prioritizing the LID scenarios, respectively. The major outcomes of this research showed that experts from MN, WS, and UN put forward the environmental dimension of sustainability, whereas respondents from NGO concentrated on the social aspect. Furthermore, MN and WS highlighted initial investment cost as the most determining criterion in optimal LID selection. On the other hand, criteria weights regarding the judgments of the experts attended from NGO revealed the significance of community resistance in specifying the optimal LID practices, while aesthetic appearance was the major concern of the academia. Hence, the present study, as an initial attempt, enabled critical standpoints for discovering perceptions of stakeholders.},\n bibtype = {article},\n author = {Ekmekcioğlu, Ömer},\n doi = {10.1007/s11269-024-03783-2},\n journal = {Water Resources Management}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The overarching aim of the present work is to explore the perception differences of stakeholders, i.e., municipalities (MN), water administrations (WS), non-governmental organizations (NGO), and universities (UN), playing vital roles in the decision mechanisms regarding one of the sustainable flood mitigation techniques, i.e., low impact development (LID) practices. As being rewarding alternative to conventional drainage techniques, four different LID strategies, i.e., green roof (GR), bioretention cells (BC), permeable pavement (PP), and infiltration trench (IT), and three of their combinations were adopted to the densely urbanized Ayamama River basin, Istanbul, Turkey. The performances of the LIDs were comprehensively evaluated based on three pillars of sustainability (i.e., social, economic, and environmental) using a hybrid multi-criteria decision-making (MCDM) framework containing the implementation of fuzzy analytical hierarchy process (fuzzy AHP) and the VIKOR (VIse KriterijumsaOptimiz acija I Kompromisno Resenje) for finding the weights of constraining criteria and prioritizing the LID scenarios, respectively. The major outcomes of this research showed that experts from MN, WS, and UN put forward the environmental dimension of sustainability, whereas respondents from NGO concentrated on the social aspect. Furthermore, MN and WS highlighted initial investment cost as the most determining criterion in optimal LID selection. On the other hand, criteria weights regarding the judgments of the experts attended from NGO revealed the significance of community resistance in specifying the optimal LID practices, while aesthetic appearance was the major concern of the academia. Hence, the present study, as an initial attempt, enabled critical standpoints for discovering perceptions of stakeholders.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"koc-budayan-ekmekciolu-tokdemir-predictingcostimpactsofnonconformancesinconstructionprojectsusinginterpretablemachinelearning-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-13857\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'koc-budayan-ekmekciolu-tokdemir-predictingcostimpactsofnonconformancesinconstructionprojectsusinginterpretablemachinelearning-2024', 'https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-13857', event);\">\n    Predicting Cost Impacts of Nonconformances in Construction Projects Using Interpretable Machine Learning.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Koc,  K.; Budayan,  C.; Ekmekcioğlu,  Ö.;  and Tokdemir,  O., B.\n</span>\n\n  \n\n</span>\n\n  <i>Journal of Construction Engineering and Management</i>, 150(1). 1 2024.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-13857\"\n     onclick=\"log_download('koc-budayan-ekmekciolu-tokdemir-predictingcostimpactsofnonconformancesinconstructionprojectsusinginterpretablemachinelearning-2024', 'https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-13857', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Predicting Cost Impacts of Nonconformances in Construction Projects Using Interpretable Machine Learning [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1061/JCEMD4.COENG-13857\"\n     onclick=\"log_download('koc-budayan-ekmekciolu-tokdemir-predictingcostimpactsofnonconformancesinconstructionprojectsusinginterpretablemachinelearning-2024', 'http://doi.org/10.1061/JCEMD4.COENG-13857', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/koc-budayan-ekmekciolu-tokdemir-predictingcostimpactsofnonconformancesinconstructionprojectsusinginterpretablemachinelearning-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('koc-budayan-ekmekciolu-tokdemir-predictingcostimpactsofnonconformancesinconstructionprojectsusinginterpretablemachinelearning-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Predicting Cost Impacts of Nonconformances in Construction Projects Using Interpretable Machine Learning},\n type = {article},\n year = {2024},\n volume = {150},\n websites = {https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-13857},\n month = {1},\n id = {5c439867-da9d-3a0a-b5e4-5970cf006ae4},\n created = {2024-04-29T19:12:19.044Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2024-04-29T19:12:19.044Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n bibtype = {article},\n author = {Koc, Kerim and Budayan, Cenk and Ekmekcioğlu, Ömer and Tokdemir, Onur Behzat},\n doi = {10.1061/JCEMD4.COENG-13857},\n journal = {Journal of Construction Engineering and Management},\n number = {1}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mouhoumed-ekmekciolu-zger-anintegratedgroundwatervulnerabilityandartificialrechargesitesuitabilityassessmentusinggismulticriteriadecisionmakingapproachinkayseriregionturkey-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://link.springer.com/10.1007/s11356-024-33809-6\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mouhoumed-ekmekciolu-zger-anintegratedgroundwatervulnerabilityandartificialrechargesitesuitabilityassessmentusinggismulticriteriadecisionmakingapproachinkayseriregionturkey-2024', 'https://link.springer.com/10.1007/s11356-024-33809-6', event);\">\n    An integrated groundwater vulnerability and artificial recharge site suitability assessment using GIS multi-criteria decision making approach in Kayseri region, Turkey.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Mouhoumed,  R., M.; Ekmekcioğlu,  Ö.;  and Özger,  M.\n</span>\n\n  \n\n</span>\n\n  <i>Environmental Science and Pollution Research</i>, 31(27): 39794-39822. 6 2024.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://link.springer.com/10.1007/s11356-024-33809-6\"\n     onclick=\"log_download('mouhoumed-ekmekciolu-zger-anintegratedgroundwatervulnerabilityandartificialrechargesitesuitabilityassessmentusinggismulticriteriadecisionmakingapproachinkayseriregionturkey-2024', 'https://link.springer.com/10.1007/s11356-024-33809-6', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"An integrated groundwater vulnerability and artificial recharge site suitability assessment using GIS multi-criteria decision making approach in Kayseri region, Turkey [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1007/s11356-024-33809-6\"\n     onclick=\"log_download('mouhoumed-ekmekciolu-zger-anintegratedgroundwatervulnerabilityandartificialrechargesitesuitabilityassessmentusinggismulticriteriadecisionmakingapproachinkayseriregionturkey-2024', 'http://doi.org/10.1007/s11356-024-33809-6', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mouhoumed-ekmekciolu-zger-anintegratedgroundwatervulnerabilityandartificialrechargesitesuitabilityassessmentusinggismulticriteriadecisionmakingapproachinkayseriregionturkey-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mouhoumed-ekmekciolu-zger-anintegratedgroundwatervulnerabilityandartificialrechargesitesuitabilityassessmentusinggismulticriteriadecisionmakingapproachinkayseriregionturkey-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {An integrated groundwater vulnerability and artificial recharge site suitability assessment using GIS multi-criteria decision making approach in Kayseri region, Turkey},\n type = {article},\n year = {2024},\n pages = {39794-39822},\n volume = {31},\n websites = {https://link.springer.com/10.1007/s11356-024-33809-6},\n month = {6},\n day = {4},\n id = {3fd4989d-d6c1-3878-a997-ab29c38386a8},\n created = {2025-03-13T11:46:31.240Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2025-03-13T11:46:31.240Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {Groundwater resources worldwide face significant challenges that require urgent implementation of sustainable measures for effective long-term management. Managed aquifer recharge (MAR) is regarded as one of the most promising management technologies to address the degradation of groundwater resources. However, in urban aquifers, locating suitable areas that are least vulnerable to contamination for MAR implementation is complex and challenging. Hence, the present study proposes a framework encapsulating the combined assessment of groundwater vulnerability and MAR site suitability analysis to pinpoint the most featured areas for installing drywells in Kayseri, Turkey. To extrapolate the vulnerable zones, not only the original DRASTIC but also its multi-criteria decision-making (MCDA)–based modified variants were evaluated with regard to different hydrochemical parameters using the area under the receiver operating characteristic (ROC) curve (AUC). Besides, the fuzzy analytical hierarchy process (FAHP) rationale was adopted to signify the importance level of criteria and the robustness of the framework was highlighted with sensitivity analysis. In addition, the decision layers and the attained vulnerability layer were combined using the weighted overlay (WOA). The findings indicate that the DRASTIC-SWARA correlates well with the arsenic (AUC = 0.856) and chloride (AUC = 0.648) and was adopted as the vulnerability model. Groundwater quality parameters such as chloride and sodium adsorption ratio, as well as the vadose zone thickness, were found to be the most significant decision parameters with importance levels of 16.75%, 14.51%, and 15.73%, respectively. Overall, 28.24% of the study area was unsuitable for recharge activities with high to very high vulnerability, while the remaining part was further prioritized into low to high suitability classes for MAR application. The proposed framework offers valuable tool to decision-makers for the delineation of favorable MAR sites with minimized susceptibility to contamination.},\n bibtype = {article},\n author = {Mouhoumed, Rachid Mohamed and Ekmekcioğlu, Ömer and Özger, Mehmet},\n doi = {10.1007/s11356-024-33809-6},\n journal = {Environmental Science and Pollution Research},\n number = {27}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Groundwater resources worldwide face significant challenges that require urgent implementation of sustainable measures for effective long-term management. Managed aquifer recharge (MAR) is regarded as one of the most promising management technologies to address the degradation of groundwater resources. However, in urban aquifers, locating suitable areas that are least vulnerable to contamination for MAR implementation is complex and challenging. Hence, the present study proposes a framework encapsulating the combined assessment of groundwater vulnerability and MAR site suitability analysis to pinpoint the most featured areas for installing drywells in Kayseri, Turkey. To extrapolate the vulnerable zones, not only the original DRASTIC but also its multi-criteria decision-making (MCDA)–based modified variants were evaluated with regard to different hydrochemical parameters using the area under the receiver operating characteristic (ROC) curve (AUC). Besides, the fuzzy analytical hierarchy process (FAHP) rationale was adopted to signify the importance level of criteria and the robustness of the framework was highlighted with sensitivity analysis. In addition, the decision layers and the attained vulnerability layer were combined using the weighted overlay (WOA). The findings indicate that the DRASTIC-SWARA correlates well with the arsenic (AUC = 0.856) and chloride (AUC = 0.648) and was adopted as the vulnerability model. Groundwater quality parameters such as chloride and sodium adsorption ratio, as well as the vadose zone thickness, were found to be the most significant decision parameters with importance levels of 16.75%, 14.51%, and 15.73%, respectively. Overall, 28.24% of the study area was unsuitable for recharge activities with high to very high vulnerability, while the remaining part was further prioritized into low to high suitability classes for MAR application. The proposed framework offers valuable tool to decision-makers for the delineation of favorable MAR sites with minimized susceptibility to contamination.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"kayhan-ekmekciolu-couplingdifferentmachinelearningandmetaheuristicoptimizationtechniquestogeneratethesnowavalanchesusceptibilitymapinthefrenchalps-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.mdpi.com/2073-4441/16/22/3247\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'kayhan-ekmekciolu-couplingdifferentmachinelearningandmetaheuristicoptimizationtechniquestogeneratethesnowavalanchesusceptibilitymapinthefrenchalps-2024', 'https://www.mdpi.com/2073-4441/16/22/3247', event);\">\n    Coupling Different Machine Learning and Meta-Heuristic Optimization Techniques to Generate the Snow Avalanche Susceptibility Map in the French Alps.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Kayhan,  E., C.;  and Ekmekcioğlu,  Ö.\n</span>\n\n  \n\n</span>\n\n  <i>Water</i>, 16(22): 3247. 11 2024.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.mdpi.com/2073-4441/16/22/3247\"\n     onclick=\"log_download('kayhan-ekmekciolu-couplingdifferentmachinelearningandmetaheuristicoptimizationtechniquestogeneratethesnowavalanchesusceptibilitymapinthefrenchalps-2024', 'https://www.mdpi.com/2073-4441/16/22/3247', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Coupling Different Machine Learning and Meta-Heuristic Optimization Techniques to Generate the Snow Avalanche Susceptibility Map in the French Alps [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.3390/w16223247\"\n     onclick=\"log_download('kayhan-ekmekciolu-couplingdifferentmachinelearningandmetaheuristicoptimizationtechniquestogeneratethesnowavalanchesusceptibilitymapinthefrenchalps-2024', 'http://doi.org/10.3390/w16223247', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/kayhan-ekmekciolu-couplingdifferentmachinelearningandmetaheuristicoptimizationtechniquestogeneratethesnowavalanchesusceptibilitymapinthefrenchalps-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('kayhan-ekmekciolu-couplingdifferentmachinelearningandmetaheuristicoptimizationtechniquestogeneratethesnowavalanchesusceptibilitymapinthefrenchalps-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Coupling Different Machine Learning and Meta-Heuristic Optimization Techniques to Generate the Snow Avalanche Susceptibility Map in the French Alps},\n type = {article},\n year = {2024},\n pages = {3247},\n volume = {16},\n websites = {https://www.mdpi.com/2073-4441/16/22/3247},\n month = {11},\n day = {12},\n id = {8818e78e-15fe-3708-b322-dfd15322ce93},\n created = {2025-03-13T11:46:31.242Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2025-03-13T11:46:31.242Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {The focus of this study is to introduce a hybrid predictive framework encompassing different meta-heuristic optimization and machine learning techniques to identify the regions susceptible to snow avalanches. To accomplish this aim, the present research sought to acquire the best-performed model among nine different hybrid scenarios encompassing three different meta-heuristics, namely particle swarm optimization (PSO), gravitational search algorithm (GSA), and Cuckoo Search (CS), and three different ML approaches, i.e., support vector classification (SVC), stochastic gradient boosting (SGB), and k-nearest neighbors (KNN), pertaining to different predictive families. According to diligent analysis performed with regard to the blinded testing set, the PSO-SGB illustrated the most satisfactory predictive performance with an accuracy of 0.815, while the precision and recall were found to be 0.824 and 0.821, respectively. The F1-score of the predictions was found to be 0.821, and the area under the receiver operating curve (AUC) was obtained to be 0.9. Despite attaining similar predictive success via the CS-SGB model, the time-efficiency analysis underscored the PSO-SGB, as the corresponding process consumed considerably less computational time compared to its counterpart. The SHapley Additive exPlanations (SHAP) implementation further informed that slope, elevation, and wind speed are the most contributing attributes to detecting snow avalanche susceptibility in the French Alps.},\n bibtype = {article},\n author = {Kayhan, Enes Can and Ekmekcioğlu, Ömer},\n doi = {10.3390/w16223247},\n journal = {Water},\n number = {22}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The focus of this study is to introduce a hybrid predictive framework encompassing different meta-heuristic optimization and machine learning techniques to identify the regions susceptible to snow avalanches. To accomplish this aim, the present research sought to acquire the best-performed model among nine different hybrid scenarios encompassing three different meta-heuristics, namely particle swarm optimization (PSO), gravitational search algorithm (GSA), and Cuckoo Search (CS), and three different ML approaches, i.e., support vector classification (SVC), stochastic gradient boosting (SGB), and k-nearest neighbors (KNN), pertaining to different predictive families. According to diligent analysis performed with regard to the blinded testing set, the PSO-SGB illustrated the most satisfactory predictive performance with an accuracy of 0.815, while the precision and recall were found to be 0.824 and 0.821, respectively. The F1-score of the predictions was found to be 0.821, and the area under the receiver operating curve (AUC) was obtained to be 0.9. Despite attaining similar predictive success via the CS-SGB model, the time-efficiency analysis underscored the PSO-SGB, as the corresponding process consumed considerably less computational time compared to its counterpart. The SHapley Additive exPlanations (SHAP) implementation further informed that slope, elevation, and wind speed are the most contributing attributes to detecting snow avalanche susceptibility in the French Alps.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mouhoumed-ekmekciolu-zger-aholisticmultitiereddecisionframeworkforevaluatingrainwaterharvestingpotentialinaridregionsacasestudyofthesoutheasternbasinofdjibouti-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/S2352801X24000134\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mouhoumed-ekmekciolu-zger-aholisticmultitiereddecisionframeworkforevaluatingrainwaterharvestingpotentialinaridregionsacasestudyofthesoutheasternbasinofdjibouti-2024', 'https://linkinghub.elsevier.com/retrieve/pii/S2352801X24000134', event);\">\n    A holistic multi-tiered decision framework for evaluating rainwater harvesting potential in arid regions: A case study of the southeastern basin of Djibouti.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Mouhoumed,  R., M.; Ekmekcioğlu,  Ö.;  and Özger,  M.\n</span>\n\n  \n\n</span>\n\n  <i>Groundwater for Sustainable Development</i>, 25: 101090. 5 2024.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/S2352801X24000134\"\n     onclick=\"log_download('mouhoumed-ekmekciolu-zger-aholisticmultitiereddecisionframeworkforevaluatingrainwaterharvestingpotentialinaridregionsacasestudyofthesoutheasternbasinofdjibouti-2024', 'https://linkinghub.elsevier.com/retrieve/pii/S2352801X24000134', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A holistic multi-tiered decision framework for evaluating rainwater harvesting potential in arid regions: A case study of the southeastern basin of Djibouti [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.gsd.2024.101090\"\n     onclick=\"log_download('mouhoumed-ekmekciolu-zger-aholisticmultitiereddecisionframeworkforevaluatingrainwaterharvestingpotentialinaridregionsacasestudyofthesoutheasternbasinofdjibouti-2024', 'http://doi.org/10.1016/j.gsd.2024.101090', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mouhoumed-ekmekciolu-zger-aholisticmultitiereddecisionframeworkforevaluatingrainwaterharvestingpotentialinaridregionsacasestudyofthesoutheasternbasinofdjibouti-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mouhoumed-ekmekciolu-zger-aholisticmultitiereddecisionframeworkforevaluatingrainwaterharvestingpotentialinaridregionsacasestudyofthesoutheasternbasinofdjibouti-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {A holistic multi-tiered decision framework for evaluating rainwater harvesting potential in arid regions: A case study of the southeastern basin of Djibouti},\n type = {article},\n year = {2024},\n pages = {101090},\n volume = {25},\n websites = {https://linkinghub.elsevier.com/retrieve/pii/S2352801X24000134},\n month = {5},\n id = {0f26e781-4606-30f4-9793-baad76a0abb2},\n created = {2025-03-13T11:46:31.300Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2025-03-13T11:46:31.300Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n bibtype = {article},\n author = {Mouhoumed, Rachid Mohamed and Ekmekcioğlu, Ömer and Özger, Mehmet},\n doi = {10.1016/j.gsd.2024.101090},\n journal = {Groundwater for Sustainable Development}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"koc-durdyev-tleuken-ekmekcioglu-mbachu-karaca-criticalsuccessfactorsforconstructionindustrytransitiontocirculareconomydevelopingcountriesperspectives-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.emerald.com/insight/content/doi/10.1108/ECAM-02-2023-0129/full/html\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'koc-durdyev-tleuken-ekmekcioglu-mbachu-karaca-criticalsuccessfactorsforconstructionindustrytransitiontocirculareconomydevelopingcountriesperspectives-2024', 'https://www.emerald.com/insight/content/doi/10.1108/ECAM-02-2023-0129/full/html', event);\">\n    Critical success factors for construction industry transition to circular economy: developing countries’ perspectives.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Koc,  K.; Durdyev,  S.; Tleuken,  A.; Ekmekcioglu,  O.; Mbachu,  J.;  and Karaca,  F.\n</span>\n\n  \n\n</span>\n\n  <i>Engineering, Construction and Architectural Management</i>, 31(12): 4955-4974. 12 2024.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.emerald.com/insight/content/doi/10.1108/ECAM-02-2023-0129/full/html\"\n     onclick=\"log_download('koc-durdyev-tleuken-ekmekcioglu-mbachu-karaca-criticalsuccessfactorsforconstructionindustrytransitiontocirculareconomydevelopingcountriesperspectives-2024', 'https://www.emerald.com/insight/content/doi/10.1108/ECAM-02-2023-0129/full/html', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Critical success factors for construction industry transition to circular economy: developing countries’ perspectives [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1108/ECAM-02-2023-0129\"\n     onclick=\"log_download('koc-durdyev-tleuken-ekmekcioglu-mbachu-karaca-criticalsuccessfactorsforconstructionindustrytransitiontocirculareconomydevelopingcountriesperspectives-2024', 'http://doi.org/10.1108/ECAM-02-2023-0129', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/koc-durdyev-tleuken-ekmekcioglu-mbachu-karaca-criticalsuccessfactorsforconstructionindustrytransitiontocirculareconomydevelopingcountriesperspectives-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('koc-durdyev-tleuken-ekmekcioglu-mbachu-karaca-criticalsuccessfactorsforconstructionindustrytransitiontocirculareconomydevelopingcountriesperspectives-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Critical success factors for construction industry transition to circular economy: developing countries’ perspectives},\n type = {article},\n year = {2024},\n pages = {4955-4974},\n volume = {31},\n websites = {https://www.emerald.com/insight/content/doi/10.1108/ECAM-02-2023-0129/full/html},\n month = {12},\n day = {6},\n id = {996986a4-1dc6-3df0-ac1a-a10d398e739e},\n created = {2025-03-13T11:46:31.410Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2025-03-13T11:46:31.410Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n bibtype = {article},\n author = {Koc, Kerim and Durdyev, Serdar and Tleuken, Aidana and Ekmekcioglu, Omer and Mbachu, Jasper and Karaca, Ferhat},\n doi = {10.1108/ECAM-02-2023-0129},\n journal = {Engineering, Construction and Architectural Management},\n number = {12}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"koyuncu-ekmekcolu-stanbulincbstabanlmakinerenmesileselduyarllkharitasnnoluturulmas-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://dergipark.org.tr/tr/doi/10.21324/dacd.1254778\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'koyuncu-ekmekcolu-stanbulincbstabanlmakinerenmesileselduyarllkharitasnnoluturulmas-2024', 'http://dergipark.org.tr/tr/doi/10.21324/dacd.1254778', event);\">\n    İstanbul İçin CBS Tabanlı Makine Öğrenmesi İle Sel Duyarlılık Haritasının Oluşturulması.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  KOYUNCU,  Z.;  and EKMEKCİOĞLU,  Ö.\n</span>\n\n  \n\n</span>\n\n  <i>Doğal Afetler ve Çevre Dergisi</i>, 10(1): 1-15. 1 2024.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://dergipark.org.tr/tr/doi/10.21324/dacd.1254778\"\n     onclick=\"log_download('koyuncu-ekmekcolu-stanbulincbstabanlmakinerenmesileselduyarllkharitasnnoluturulmas-2024', 'http://dergipark.org.tr/tr/doi/10.21324/dacd.1254778', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"İstanbul İçin CBS Tabanlı Makine Öğrenmesi İle Sel Duyarlılık Haritasının Oluşturulması [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.21324/dacd.1254778\"\n     onclick=\"log_download('koyuncu-ekmekcolu-stanbulincbstabanlmakinerenmesileselduyarllkharitasnnoluturulmas-2024', 'http://doi.org/10.21324/dacd.1254778', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/koyuncu-ekmekcolu-stanbulincbstabanlmakinerenmesileselduyarllkharitasnnoluturulmas-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('koyuncu-ekmekcolu-stanbulincbstabanlmakinerenmesileselduyarllkharitasnnoluturulmas-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {İstanbul İçin CBS Tabanlı Makine Öğrenmesi İle Sel Duyarlılık Haritasının Oluşturulması},\n type = {article},\n year = {2024},\n pages = {1-15},\n volume = {10},\n websites = {http://dergipark.org.tr/tr/doi/10.21324/dacd.1254778},\n month = {1},\n day = {28},\n id = {9764eeb3-59b8-377c-bdf8-399df18f7753},\n created = {2025-03-13T11:46:31.444Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2025-03-13T11:46:31.444Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {Bu çalışma kapsamında meydana gelebilecek olası bir sel olayının gerçekleşebileceği yerin önceden tahmini ve tespiti için makine öğrenmesi yöntemleri kullanılarak coğrafi bilgi sistemleri (CBS) tabanlı bir sel duyarlılık haritalama modeli oluşturulması amaçlanmıştır. Çalışma kapsamında incelen bölge olarak ise Türkiye’nin metropol kenti olan İstanbul ili seçilmiştir. Literatürden elde edilen sel envanteriyle oluşturulan örneklem kümesi önce sel olmayan noktaların rastgele oluşturulması ile genişletilmiş olup, ardından sınıf dengesizliği rastgele alt örnekleme (RUS) tekniği ile giderilmiştir. Bu yaklaşım Türkiye’ de gerçekleştirilen sel duyarlılık haritalamaları çalışmaları için ilk kez uygulanmıştır. Rastgele orman (RF), stokastik gradyan artırma (SGB) ve XGBoost algoritmaları olmak üzere üç farklı makine öğrenmesi algoritmasının performans karşılaştırmaları gerçekleştirilmiştir. En yüksek model performansının XGBoost ile elde edildiği, bu metodu ise sırasıyla SGB ve RF’nin takip ettiği sonucuna ulaşılmıştır. Ayrıca, RF ve SGB modellerinin sel olmayan noktaların neredeyse tamamını doğru olarak bulduğu, sel olan noktalarda ise %90.67’lik bir başarı sergilediği görülmüştür. Fakat, çalışmanın esas amacını kapsayan sel gerçekleşen noktaların belirlenmesinde XGBoost modeli %92.00’lik bir başarı ile diğer iki metoda üstünlük sergilediği tespit edilmiştir. Sel olayını etkileyen parametreler incelendiğinde ise İstanbul için seli en önemli parametrenin yağış olduğu sonucuna ulaşılmış olup, yağışı sırasıyla drenaj ağına uzaklık ve eğri numarası takip etmiştir. Sonuç olarak çalışma kapsamında İstanbul’da gerçekleştirilen sel duyarlılık haritalamaları çalışmaları için ilk kez uygulanan bu çerçevenin kullanımının sayısı ve etkileri giderek artırılarak sel olaylarına karşı daha yaygın alanlara uygulanması gelecek vadedici bir yaklaşım olacaktır.},\n bibtype = {article},\n author = {KOYUNCU, Zehra and EKMEKCİOĞLU, Ömer},\n doi = {10.21324/dacd.1254778},\n journal = {Doğal Afetler ve Çevre Dergisi},\n number = {1}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Bu çalışma kapsamında meydana gelebilecek olası bir sel olayının gerçekleşebileceği yerin önceden tahmini ve tespiti için makine öğrenmesi yöntemleri kullanılarak coğrafi bilgi sistemleri (CBS) tabanlı bir sel duyarlılık haritalama modeli oluşturulması amaçlanmıştır. Çalışma kapsamında incelen bölge olarak ise Türkiye’nin metropol kenti olan İstanbul ili seçilmiştir. Literatürden elde edilen sel envanteriyle oluşturulan örneklem kümesi önce sel olmayan noktaların rastgele oluşturulması ile genişletilmiş olup, ardından sınıf dengesizliği rastgele alt örnekleme (RUS) tekniği ile giderilmiştir. Bu yaklaşım Türkiye’ de gerçekleştirilen sel duyarlılık haritalamaları çalışmaları için ilk kez uygulanmıştır. Rastgele orman (RF), stokastik gradyan artırma (SGB) ve XGBoost algoritmaları olmak üzere üç farklı makine öğrenmesi algoritmasının performans karşılaştırmaları gerçekleştirilmiştir. En yüksek model performansının XGBoost ile elde edildiği, bu metodu ise sırasıyla SGB ve RF’nin takip ettiği sonucuna ulaşılmıştır. Ayrıca, RF ve SGB modellerinin sel olmayan noktaların neredeyse tamamını doğru olarak bulduğu, sel olan noktalarda ise %90.67’lik bir başarı sergilediği görülmüştür. Fakat, çalışmanın esas amacını kapsayan sel gerçekleşen noktaların belirlenmesinde XGBoost modeli %92.00’lik bir başarı ile diğer iki metoda üstünlük sergilediği tespit edilmiştir. Sel olayını etkileyen parametreler incelendiğinde ise İstanbul için seli en önemli parametrenin yağış olduğu sonucuna ulaşılmış olup, yağışı sırasıyla drenaj ağına uzaklık ve eğri numarası takip etmiştir. Sonuç olarak çalışma kapsamında İstanbul’da gerçekleştirilen sel duyarlılık haritalamaları çalışmaları için ilk kez uygulanan bu çerçevenin kullanımının sayısı ve etkileri giderek artırılarak sel olaylarına karşı daha yaygın alanlara uygulanması gelecek vadedici bir yaklaşım olacaktır.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2023\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2023')\"\n      onkeypress=\"toggleGroup('group_2023')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2023</span>\n      <span class=\"bibbase_group_count\">\n        \n        (15)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"ekmekciolu-baakn-zger-exploringthepracticalapplicationofgeneticprogrammingforstormwaterdraininlethydraulicefficiencyestimation-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://link.springer.com/10.1007/s13762-022-04035-9\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ekmekciolu-baakn-zger-exploringthepracticalapplicationofgeneticprogrammingforstormwaterdraininlethydraulicefficiencyestimation-2023', 'https://link.springer.com/10.1007/s13762-022-04035-9', event);\">\n    Exploring the practical application of genetic programming for stormwater drain inlet hydraulic efficiency estimation.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ekmekcioğlu,  Ö.; Başakın,  E., E.;  and Özger,  M.\n</span>\n\n  \n\n</span>\n\n  <i>International Journal of Environmental Science and Technology</i>, 20(2): 1489-1502. 2 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://link.springer.com/10.1007/s13762-022-04035-9\"\n     onclick=\"log_download('ekmekciolu-baakn-zger-exploringthepracticalapplicationofgeneticprogrammingforstormwaterdraininlethydraulicefficiencyestimation-2023', 'https://link.springer.com/10.1007/s13762-022-04035-9', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Exploring the practical application of genetic programming for stormwater drain inlet hydraulic efficiency estimation [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1007/s13762-022-04035-9\"\n     onclick=\"log_download('ekmekciolu-baakn-zger-exploringthepracticalapplicationofgeneticprogrammingforstormwaterdraininlethydraulicefficiencyestimation-2023', 'http://doi.org/10.1007/s13762-022-04035-9', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ekmekciolu-baakn-zger-exploringthepracticalapplicationofgeneticprogrammingforstormwaterdraininlethydraulicefficiencyestimation-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ekmekciolu-baakn-zger-exploringthepracticalapplicationofgeneticprogrammingforstormwaterdraininlethydraulicefficiencyestimation-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Exploring the practical application of genetic programming for stormwater drain inlet hydraulic efficiency estimation},\n type = {article},\n year = {2023},\n pages = {1489-1502},\n volume = {20},\n websites = {https://link.springer.com/10.1007/s13762-022-04035-9},\n month = {2},\n day = {5},\n id = {3cf253dd-b2cc-3b9a-a7b2-c193f5a98955},\n created = {2022-03-17T14:58:09.600Z},\n file_attached = {true},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2023-04-02T02:50:04.641Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n folder_uuids = {a5e35c5c-b2ed-46de-8abb-fc92ed72fe89},\n private_publication = {false},\n bibtype = {article},\n author = {Ekmekcioğlu, Ö. and Başakın, E. E. and Özger, M.},\n doi = {10.1007/s13762-022-04035-9},\n journal = {International Journal of Environmental Science and Technology},\n number = {2}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ekmekciolu-baakn-altnba-zger-yeilky-aylan-amultiperspectiveinputselectionstrategyfordailynetecosystemexchangepredictionsbasedonmachinelearningmethods-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://link.springer.com/10.1007/s00704-022-04265-4\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ekmekciolu-baakn-altnba-zger-yeilky-aylan-amultiperspectiveinputselectionstrategyfordailynetecosystemexchangepredictionsbasedonmachinelearningmethods-2023', 'https://link.springer.com/10.1007/s00704-022-04265-4', event);\">\n    A multi-perspective input selection strategy for daily net ecosystem exchange predictions based on machine learning methods.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ekmekcioğlu,  Ö.; Başakın,  E., E.; Altınbaş,  N.; Özger,  M.; Yeşilköy,  S.;  and Şaylan,  L.\n</span>\n\n  \n\n</span>\n\n  <i>Theoretical and Applied Climatology</i>, 151(1-2): 81-98. 1 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://link.springer.com/10.1007/s00704-022-04265-4\"\n     onclick=\"log_download('ekmekciolu-baakn-altnba-zger-yeilky-aylan-amultiperspectiveinputselectionstrategyfordailynetecosystemexchangepredictionsbasedonmachinelearningmethods-2023', 'https://link.springer.com/10.1007/s00704-022-04265-4', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A multi-perspective input selection strategy for daily net ecosystem exchange predictions based on machine learning methods [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1007/s00704-022-04265-4\"\n     onclick=\"log_download('ekmekciolu-baakn-altnba-zger-yeilky-aylan-amultiperspectiveinputselectionstrategyfordailynetecosystemexchangepredictionsbasedonmachinelearningmethods-2023', 'http://doi.org/10.1007/s00704-022-04265-4', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ekmekciolu-baakn-altnba-zger-yeilky-aylan-amultiperspectiveinputselectionstrategyfordailynetecosystemexchangepredictionsbasedonmachinelearningmethods-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ekmekciolu-baakn-altnba-zger-yeilky-aylan-amultiperspectiveinputselectionstrategyfordailynetecosystemexchangepredictionsbasedonmachinelearningmethods-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {A multi-perspective input selection strategy for daily net ecosystem exchange predictions based on machine learning methods},\n type = {article},\n year = {2023},\n pages = {81-98},\n volume = {151},\n websites = {https://link.springer.com/10.1007/s00704-022-04265-4},\n month = {1},\n publisher = {Springer Vienna},\n day = {9},\n id = {49ffcf5c-95fb-362c-adf0-6e000ca30cca},\n created = {2022-12-24T05:28:08.882Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2023-04-02T02:50:04.643Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n bibtype = {article},\n author = {Ekmekcioğlu, Ömer and Başakın, Eyyup Ensar and Altınbaş, Nilcan and Özger, Mehmet and Yeşilköy, Serhan and Şaylan, Levent},\n doi = {10.1007/s00704-022-04265-4},\n journal = {Theoretical and Applied Climatology},\n number = {1-2}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"baakn-ekmekciolu-zger-developinganovelapproachformissingdataimputationofsolarradiationahybriddifferentialevolutionalgorithmbasedextremegradientboostingmodel-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Developing a novel approach for missing data imputation of solar radiation: A hybrid differential evolution algorithm based eXtreme gradient boosting model.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Başakın,  E., E.; Ekmekcioğlu,  Ö.;  and Özger,  M.\n</span>\n\n  \n\n</span>\n\n  <i>Energy Conversion and Management</i>, 280(February).  2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.enconman.2023.116780\"\n     onclick=\"log_download('baakn-ekmekciolu-zger-developinganovelapproachformissingdataimputationofsolarradiationahybriddifferentialevolutionalgorithmbasedextremegradientboostingmodel-2023', 'http://doi.org/10.1016/j.enconman.2023.116780', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/baakn-ekmekciolu-zger-developinganovelapproachformissingdataimputationofsolarradiationahybriddifferentialevolutionalgorithmbasedextremegradientboostingmodel-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('baakn-ekmekciolu-zger-developinganovelapproachformissingdataimputationofsolarradiationahybriddifferentialevolutionalgorithmbasedextremegradientboostingmodel-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Developing a novel approach for missing data imputation of solar radiation: A hybrid differential evolution algorithm based eXtreme gradient boosting model},\n type = {article},\n year = {2023},\n keywords = {Differential evolution,Extreme gradient boosting,Meteorological measurements,Missing data imputation,Solar radiation},\n volume = {280},\n id = {0498256c-ea0c-3c8f-8f58-9911b98dc048},\n created = {2023-04-02T02:50:03.882Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2023-04-02T02:50:03.882Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {Having sufficient and qualified datasets is of paramount importance in terms of understanding the internal dynamics of the nature-related phenomenon. Given the necessity to maintain the completeness of the datasets, this study introduced a novel technique containing the implementation of machine learning algorithms and a meta-heuristic optimization algorithm for imputing the gaps encountered in measurements of solar radiation which is one of the crucial meteorological variables in terms of not only climate dynamics but also energy technologies. To accomplish this aim, four different gap sizes, i.e., 5 %, 10 %, 20 %, and 30 %, have synthetically been constituted and the applicability of the extreme gradient boosting (XGBoost) configured by the differential evolution (DE) was examined for each gap size. The corresponding model was benchmarked with conventional interpolation techniques (i.e., linear and spline optimizations) and other widely applied ML algorithms (i.e., random forest and multivariate adaptive regression splines). A multi-perspective input selection strategy was considered to model the missing values based on correlation coefficients under three scenarios encompassing a total of 14 different models. The results revealed that the XGBoost-DE model generated with the solar radiation measurements of neighboring stations was found as the best-performed model in all gap sizes, i.e., 5 % (NSE: 0.950; KGE: 0.967), 10 % (NSE:0.934; KGE: 0.962), and 30 % (NSE: 0.939; KGE: 0.957), but 20 % which the highest accuracy was obtained with the RF (NSE: 0.944; KGE: 0.966). On the other hand, the interpolation techniques had the lowest accuracies among their counterparts in imputation attempts with respect to all gap size alternatives.},\n bibtype = {article},\n author = {Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer and Özger, Mehmet},\n doi = {10.1016/j.enconman.2023.116780},\n journal = {Energy Conversion and Management},\n number = {February}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Having sufficient and qualified datasets is of paramount importance in terms of understanding the internal dynamics of the nature-related phenomenon. Given the necessity to maintain the completeness of the datasets, this study introduced a novel technique containing the implementation of machine learning algorithms and a meta-heuristic optimization algorithm for imputing the gaps encountered in measurements of solar radiation which is one of the crucial meteorological variables in terms of not only climate dynamics but also energy technologies. To accomplish this aim, four different gap sizes, i.e., 5 %, 10 %, 20 %, and 30 %, have synthetically been constituted and the applicability of the extreme gradient boosting (XGBoost) configured by the differential evolution (DE) was examined for each gap size. The corresponding model was benchmarked with conventional interpolation techniques (i.e., linear and spline optimizations) and other widely applied ML algorithms (i.e., random forest and multivariate adaptive regression splines). A multi-perspective input selection strategy was considered to model the missing values based on correlation coefficients under three scenarios encompassing a total of 14 different models. The results revealed that the XGBoost-DE model generated with the solar radiation measurements of neighboring stations was found as the best-performed model in all gap sizes, i.e., 5 % (NSE: 0.950; KGE: 0.967), 10 % (NSE:0.934; KGE: 0.962), and 30 % (NSE: 0.939; KGE: 0.957), but 20 % which the highest accuracy was obtained with the RF (NSE: 0.944; KGE: 0.966). On the other hand, the interpolation techniques had the lowest accuracies among their counterparts in imputation attempts with respect to all gap size alternatives.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"koc-ekmekciolu-ik-developingaprobabilisticdecisionmakingmodelforreinforcedsustainablesupplierselection-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Developing a probabilistic decision-making model for reinforced sustainable supplier selection.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Koc,  K.; Ekmekcioğlu,  Ö.;  and Işık,  Z.\n</span>\n\n  \n\n</span>\n\n  <i>International Journal of Production Economics</i>, 259(April 2022).  2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.ijpe.2023.108820\"\n     onclick=\"log_download('koc-ekmekciolu-ik-developingaprobabilisticdecisionmakingmodelforreinforcedsustainablesupplierselection-2023', 'http://doi.org/10.1016/j.ijpe.2023.108820', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/koc-ekmekciolu-ik-developingaprobabilisticdecisionmakingmodelforreinforcedsustainablesupplierselection-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('koc-ekmekciolu-ik-developingaprobabilisticdecisionmakingmodelforreinforcedsustainablesupplierselection-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Developing a probabilistic decision-making model for reinforced sustainable supplier selection},\n type = {article},\n year = {2023},\n keywords = {Construction industry,Innovation,Knowledge management,Lean principles,Probabilistic multi-criteria decision-making,Sustainable supply chain management},\n volume = {259},\n id = {e6213727-1338-33a1-980c-5c7f0284b9ea},\n created = {2023-04-02T02:50:03.999Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2023-04-02T02:50:03.999Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {The competitive environment and recent regulations require corporations to implement sustainable and reinforced solutions in their business operations and, thereby, sustainable supplier selection (SSS) has become a critical concern of companies. This study introduces a neoteric approach by extending the SSS framework containing the three widespread indicators, i.e., economic, social, and environmental sustainability dimensions (S), with additional three genuine aspects such as innovation (I), lean principles (L), and knowledge management (K), namely the S-ILK framework. To deal with probabilistic uncertainty, a novel Monte Carlo (MC) aided hybrid multi-criteria decision analysis model was constructed. MC simulation with Beta-PERT distribution was integrated with the Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) to identify criteria weights and perform supplier evaluations, respectively. Hence, criteria weights and supplier evaluation scores were illustrated as probability density plots instead of crisp values with MC aided decision-making model. The findings emphasized the role of economic sustainability and knowledge management capabilities of suppliers, which require a diligent investigation of life cycle cost of production and quality of knowledge management systems of suppliers. This study contributes to theory by highlighting interpersonal uncertainty through MC simulation and to practice by informing industry professionals about urgent needs for focusing on the innovation, knowledge management, and lean capabilities of suppliers. The proposed S-ILK framework can be regarded as a roadmap for companies to enhance their sustainability performance with innovative solutions, increased data quality, and continuous improvement with lean principles.},\n bibtype = {article},\n author = {Koc, Kerim and Ekmekcioğlu, Ömer and Işık, Zeynep},\n doi = {10.1016/j.ijpe.2023.108820},\n journal = {International Journal of Production Economics},\n number = {April 2022}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The competitive environment and recent regulations require corporations to implement sustainable and reinforced solutions in their business operations and, thereby, sustainable supplier selection (SSS) has become a critical concern of companies. This study introduces a neoteric approach by extending the SSS framework containing the three widespread indicators, i.e., economic, social, and environmental sustainability dimensions (S), with additional three genuine aspects such as innovation (I), lean principles (L), and knowledge management (K), namely the S-ILK framework. To deal with probabilistic uncertainty, a novel Monte Carlo (MC) aided hybrid multi-criteria decision analysis model was constructed. MC simulation with Beta-PERT distribution was integrated with the Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) to identify criteria weights and perform supplier evaluations, respectively. Hence, criteria weights and supplier evaluation scores were illustrated as probability density plots instead of crisp values with MC aided decision-making model. The findings emphasized the role of economic sustainability and knowledge management capabilities of suppliers, which require a diligent investigation of life cycle cost of production and quality of knowledge management systems of suppliers. This study contributes to theory by highlighting interpersonal uncertainty through MC simulation and to practice by informing industry professionals about urgent needs for focusing on the innovation, knowledge management, and lean capabilities of suppliers. The proposed S-ILK framework can be regarded as a roadmap for companies to enhance their sustainability performance with innovative solutions, increased data quality, and continuous improvement with lean principles.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"koc-ekmekciolu-gurgun-developinganationaldatadrivenconstructionsafetymanagementframeworkwithinterpretablefatalaccidentprediction-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-12848\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'koc-ekmekciolu-gurgun-developinganationaldatadrivenconstructionsafetymanagementframeworkwithinterpretablefatalaccidentprediction-2023', 'https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-12848', event);\">\n    Developing a National Data-Driven Construction Safety Management Framework with Interpretable Fatal Accident Prediction.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Koc,  K.; Ekmekcioğlu,  Ö.;  and Gurgun,  A., P.\n</span>\n\n  \n\n</span>\n\n  <i>Journal of Construction Engineering and Management</i>, 149(4). 4 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-12848\"\n     onclick=\"log_download('koc-ekmekciolu-gurgun-developinganationaldatadrivenconstructionsafetymanagementframeworkwithinterpretablefatalaccidentprediction-2023', 'https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-12848', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Developing a National Data-Driven Construction Safety Management Framework with Interpretable Fatal Accident Prediction [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1061/JCEMD4.COENG-12848\"\n     onclick=\"log_download('koc-ekmekciolu-gurgun-developinganationaldatadrivenconstructionsafetymanagementframeworkwithinterpretablefatalaccidentprediction-2023', 'http://doi.org/10.1061/JCEMD4.COENG-12848', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/koc-ekmekciolu-gurgun-developinganationaldatadrivenconstructionsafetymanagementframeworkwithinterpretablefatalaccidentprediction-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('koc-ekmekciolu-gurgun-developinganationaldatadrivenconstructionsafetymanagementframeworkwithinterpretablefatalaccidentprediction-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Developing a National Data-Driven Construction Safety Management Framework with Interpretable Fatal Accident Prediction},\n type = {article},\n year = {2023},\n volume = {149},\n websites = {https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-12848},\n month = {4},\n id = {f1086054-daaa-3f3f-86b2-181a2e6a236e},\n created = {2023-04-02T02:50:04.033Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2024-03-02T06:37:21.171Z},\n read = {true},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {AbstractOccupational accidents are frequent in the construction industry, containing significant risks in the working environment. Therefore, early designation, taking preventive actions, and devel...},\n bibtype = {article},\n author = {Koc, Kerim and Ekmekcioğlu, Ömer and Gurgun, Asli Pelin},\n doi = {10.1061/JCEMD4.COENG-12848},\n journal = {Journal of Construction Engineering and Management},\n number = {4}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  AbstractOccupational accidents are frequent in the construction industry, containing significant risks in the working environment. Therefore, early designation, taking preventive actions, and devel...\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"baakn-ekmekciolu-stoy-zger-estimationofdailyreferenceevapotranspirationbyhybridsingularspectrumanalysisbasedstochasticgradientboosting-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1016/j.mex.2023.102163\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'baakn-ekmekciolu-stoy-zger-estimationofdailyreferenceevapotranspirationbyhybridsingularspectrumanalysisbasedstochasticgradientboosting-2023', 'https://doi.org/10.1016/j.mex.2023.102163', event);\">\n    Estimation of daily reference evapotranspiration by hybrid singular spectrum analysis-based stochastic gradient boosting.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Başakın,  E., E.; Ekmekcioğlu,  Ö.; Stoy,  P., C.;  and Özger,  M.\n</span>\n\n  \n\n</span>\n\n  <i>MethodsX</i>,102163.  2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1016/j.mex.2023.102163\"\n     onclick=\"log_download('baakn-ekmekciolu-stoy-zger-estimationofdailyreferenceevapotranspirationbyhybridsingularspectrumanalysisbasedstochasticgradientboosting-2023', 'https://doi.org/10.1016/j.mex.2023.102163', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Estimation of daily reference evapotranspiration by hybrid singular spectrum analysis-based stochastic gradient boosting [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.mex.2023.102163\"\n     onclick=\"log_download('baakn-ekmekciolu-stoy-zger-estimationofdailyreferenceevapotranspirationbyhybridsingularspectrumanalysisbasedstochasticgradientboosting-2023', 'http://doi.org/10.1016/j.mex.2023.102163', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/baakn-ekmekciolu-stoy-zger-estimationofdailyreferenceevapotranspirationbyhybridsingularspectrumanalysisbasedstochasticgradientboosting-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('baakn-ekmekciolu-stoy-zger-estimationofdailyreferenceevapotranspirationbyhybridsingularspectrumanalysisbasedstochasticgradientboosting-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Estimation of daily reference evapotranspiration by hybrid singular spectrum analysis-based stochastic gradient boosting},\n type = {article},\n year = {2023},\n keywords = {&quot;Reference evapotranspiration&quot;,&quot;estimation&quot;,&quot;singular spectrum analysis&quot;,&quot;stochastic gradient boosting&quot;},\n pages = {102163},\n websites = {https://doi.org/10.1016/j.mex.2023.102163},\n publisher = {Elsevier B.V.},\n id = {906b1c49-ce1c-32f2-bba5-510f7c356b9c},\n created = {2023-04-02T02:50:04.092Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2023-04-02T02:50:04.092Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n bibtype = {article},\n author = {Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer and Stoy, Paul C and Özger, Mehmet},\n doi = {10.1016/j.mex.2023.102163},\n journal = {MethodsX}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mohamedmouhoumed-ekmekciolu-zger-ahybridmcdaapproachfordelineatingsitessuitableforartificialgroundwaterrechargeusingdrywells-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  A hybrid MCDA approach for delineating sites suitable for artificial groundwater recharge using drywells.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Mohamed Mouhoumed,  R.; Ekmekcioğlu,  Ö.;  and Özger,  M.\n</span>\n\n  \n\n</span>\n\n  <i>Journal of Hydrology</i>, 620(January): 129387.  2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.jhydrol.2023.129387\"\n     onclick=\"log_download('mohamedmouhoumed-ekmekciolu-zger-ahybridmcdaapproachfordelineatingsitessuitableforartificialgroundwaterrechargeusingdrywells-2023', 'http://doi.org/10.1016/j.jhydrol.2023.129387', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mohamedmouhoumed-ekmekciolu-zger-ahybridmcdaapproachfordelineatingsitessuitableforartificialgroundwaterrechargeusingdrywells-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mohamedmouhoumed-ekmekciolu-zger-ahybridmcdaapproachfordelineatingsitessuitableforartificialgroundwaterrechargeusingdrywells-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {A hybrid MCDA approach for delineating sites suitable for artificial groundwater recharge using drywells},\n type = {article},\n year = {2023},\n keywords = {managed aquifer recharge},\n pages = {129387},\n volume = {620},\n id = {71934339-1d83-3664-b1fb-b4d5add862ef},\n created = {2023-04-02T02:50:04.108Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2023-04-02T02:50:04.108Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n bibtype = {article},\n author = {Mohamed Mouhoumed, Rachid and Ekmekcioğlu, Ömer and Özger, Mehmet},\n doi = {10.1016/j.jhydrol.2023.129387},\n journal = {Journal of Hydrology},\n number = {January}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"koc-ekmekcioglu-ik-developingahybridfuzzydecisionmakingmodelforsustainablecircularcontractorselection-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-13305\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'koc-ekmekcioglu-ik-developingahybridfuzzydecisionmakingmodelforsustainablecircularcontractorselection-2023', 'https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-13305', event);\">\n    Developing a Hybrid Fuzzy Decision-Making Model for Sustainable Circular Contractor Selection.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Koc,  K.; Ekmekcioglu,  Ö.;  and Işık,  Z.\n</span>\n\n  \n\n</span>\n\n  <i>Journal of Construction Engineering and Management</i>, 149(10). 10 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-13305\"\n     onclick=\"log_download('koc-ekmekcioglu-ik-developingahybridfuzzydecisionmakingmodelforsustainablecircularcontractorselection-2023', 'https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-13305', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Developing a Hybrid Fuzzy Decision-Making Model for Sustainable Circular Contractor Selection [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1061/JCEMD4.COENG-13305\"\n     onclick=\"log_download('koc-ekmekcioglu-ik-developingahybridfuzzydecisionmakingmodelforsustainablecircularcontractorselection-2023', 'http://doi.org/10.1061/JCEMD4.COENG-13305', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/koc-ekmekcioglu-ik-developingahybridfuzzydecisionmakingmodelforsustainablecircularcontractorselection-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('koc-ekmekcioglu-ik-developingahybridfuzzydecisionmakingmodelforsustainablecircularcontractorselection-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Developing a Hybrid Fuzzy Decision-Making Model for Sustainable Circular Contractor Selection},\n type = {article},\n year = {2023},\n volume = {149},\n websites = {https://ascelibrary.org/doi/10.1061/JCEMD4.COENG-13305},\n month = {10},\n id = {2e110aa4-9fac-3227-a492-88d730e7b9b6},\n created = {2023-10-07T10:42:56.273Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2023-10-08T06:12:22.756Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {The construction sector accounts for a significant proportion of natural resource consumption and waste generation. This reveals the essentiality for gravitating the operations in the industry toward more sustainable paradigms. To tackle these concerns, the circular economy (CE) model has become a central concept to render conventional production and consumption behaviors in construction projects into innovative and sustainable patterns. In construction projects, selecting the most competent contractor is of paramount importance. Hence, the present research seeks to establish a comprehensive evaluation framework for sustainable circular contractor selection based on a hybrid fuzzy multicriteria decision-making (MCDM) approach. In this respect, the fuzzy analytical hierarchy process (AHP) was adopted for assessing the CE indicators, while the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) was utilized for evaluating circularity and eligibility of contractors. The utility of the proposed framework was predicated with regard to hydropower projects due to several environmental challenges encountered in the corresponding subsector. The results show that the contractors can be circular only if they have strong financial viability, develop strategies to implement ReSOLVE (regenerate, share, optimize, loop, virtualize, exchange), adopt specific construction methods to CE (e.g., modular construction), and propose sustainable innovative solutions. Overall, the proposed hybrid fuzzy MCDM framework can be used as a more systematic and transparent approach for selecting the most circular and sustainable contractors , contributing to the preservation of earth&#x27;s resources. Given the current contractors&#x27; limited capacity to address circularity and sustainability concerns, the findings of this study can be regarded as a roadmap and contributes to practice by achieving circular and sustainable construction objectives with waste reduction, cost savings, and environmental benefits.},\n bibtype = {article},\n author = {Koc, Kerim and Ekmekcioglu, Ömer and Işık, Zeynep},\n doi = {10.1061/JCEMD4.COENG-13305},\n journal = {Journal of Construction Engineering and Management},\n number = {10}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The construction sector accounts for a significant proportion of natural resource consumption and waste generation. This reveals the essentiality for gravitating the operations in the industry toward more sustainable paradigms. To tackle these concerns, the circular economy (CE) model has become a central concept to render conventional production and consumption behaviors in construction projects into innovative and sustainable patterns. In construction projects, selecting the most competent contractor is of paramount importance. Hence, the present research seeks to establish a comprehensive evaluation framework for sustainable circular contractor selection based on a hybrid fuzzy multicriteria decision-making (MCDM) approach. In this respect, the fuzzy analytical hierarchy process (AHP) was adopted for assessing the CE indicators, while the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) was utilized for evaluating circularity and eligibility of contractors. The utility of the proposed framework was predicated with regard to hydropower projects due to several environmental challenges encountered in the corresponding subsector. The results show that the contractors can be circular only if they have strong financial viability, develop strategies to implement ReSOLVE (regenerate, share, optimize, loop, virtualize, exchange), adopt specific construction methods to CE (e.g., modular construction), and propose sustainable innovative solutions. Overall, the proposed hybrid fuzzy MCDM framework can be used as a more systematic and transparent approach for selecting the most circular and sustainable contractors , contributing to the preservation of earth's resources. Given the current contractors' limited capacity to address circularity and sustainability concerns, the findings of this study can be regarded as a roadmap and contributes to practice by achieving circular and sustainable construction objectives with waste reduction, cost savings, and environmental benefits.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"baakn-ekmekciolu-zger-providingacomprehensiveunderstandingofmissingdataimputationprocessesinevapotranspirationrelatedresearchasystematicliteraturereview-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1080/02626667.2023.2249456\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'baakn-ekmekciolu-zger-providingacomprehensiveunderstandingofmissingdataimputationprocessesinevapotranspirationrelatedresearchasystematicliteraturereview-2023', 'https://doi.org/10.1080/02626667.2023.2249456', event);\">\n    Providing a comprehensive understanding of missing data imputation processes in evapotranspiration-related research: a systematic literature review.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Başakın,  E., E.; Ekmekcioğlu,  Ö.;  and Özger,  M.\n</span>\n\n  \n\n</span>\n\n  <i>Hydrological Sciences Journal</i>, 00(00): 1-16.  2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1080/02626667.2023.2249456\"\n     onclick=\"log_download('baakn-ekmekciolu-zger-providingacomprehensiveunderstandingofmissingdataimputationprocessesinevapotranspirationrelatedresearchasystematicliteraturereview-2023', 'https://doi.org/10.1080/02626667.2023.2249456', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Providing a comprehensive understanding of missing data imputation processes in evapotranspiration-related research: a systematic literature review [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1080/02626667.2023.2249456\"\n     onclick=\"log_download('baakn-ekmekciolu-zger-providingacomprehensiveunderstandingofmissingdataimputationprocessesinevapotranspirationrelatedresearchasystematicliteraturereview-2023', 'http://doi.org/10.1080/02626667.2023.2249456', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/baakn-ekmekciolu-zger-providingacomprehensiveunderstandingofmissingdataimputationprocessesinevapotranspirationrelatedresearchasystematicliteraturereview-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('baakn-ekmekciolu-zger-providingacomprehensiveunderstandingofmissingdataimputationprocessesinevapotranspirationrelatedresearchasystematicliteraturereview-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Providing a comprehensive understanding of missing data imputation processes in evapotranspiration-related research: a systematic literature review},\n type = {article},\n year = {2023},\n keywords = {eddy covariance,evapotranspiration,gap filling,missing data imputation,multiple imputation},\n pages = {1-16},\n volume = {00},\n websites = {https://doi.org/10.1080/02626667.2023.2249456},\n publisher = {Taylor &amp; Francis},\n id = {01a6b6a0-0798-3ac4-96af-d2f52912f73b},\n created = {2023-10-07T10:42:56.276Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2023-10-07T10:42:56.276Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {This study aimed to review the existing research focalizing on the missing data imputation techniques for the systems enabling actual evapotranspiration calculation (such as eddy covariance, Bowen ratio, and lysimeters) and divergent evapotranspiration related variables, i.e. temperature, wind speed, humidity, and solar radiation. Thus, the Scopus engine was utilized to scan the entire literature and 62 articles were diligently investigated. Results show classical approaches have been widely used by researchers due to their ease of implementation. However, the applicability and validity of these methods heavily rely on assumptions made about the distribution and characteristics of missing data. Hence, advanced imputation techniques produce more accurate outcomes as they handle complex and non-linear problems. Also, current trends embraced by the research community revealed that employing deep learning techniques and incorporating explainable artificial intelligence into imputations have significant potential to make insightful contributions to the body of knowledge.},\n bibtype = {article},\n author = {Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer and Özger, Mehmet},\n doi = {10.1080/02626667.2023.2249456},\n journal = {Hydrological Sciences Journal},\n number = {00}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  This study aimed to review the existing research focalizing on the missing data imputation techniques for the systems enabling actual evapotranspiration calculation (such as eddy covariance, Bowen ratio, and lysimeters) and divergent evapotranspiration related variables, i.e. temperature, wind speed, humidity, and solar radiation. Thus, the Scopus engine was utilized to scan the entire literature and 62 articles were diligently investigated. Results show classical approaches have been widely used by researchers due to their ease of implementation. However, the applicability and validity of these methods heavily rely on assumptions made about the distribution and characteristics of missing data. Hence, advanced imputation techniques produce more accurate outcomes as they handle complex and non-linear problems. Also, current trends embraced by the research community revealed that employing deep learning techniques and incorporating explainable artificial intelligence into imputations have significant potential to make insightful contributions to the body of knowledge.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ekmekciolu-droughtforecastingusingintegratedvariationalmodedecompositionandextremegradientboosting-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.mdpi.com/2073-4441/15/19/3413\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ekmekciolu-droughtforecastingusingintegratedvariationalmodedecompositionandextremegradientboosting-2023', 'https://www.mdpi.com/2073-4441/15/19/3413', event);\">\n    Drought Forecasting Using Integrated Variational Mode Decomposition and Extreme Gradient Boosting.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ekmekcioğlu,  Ö.\n</span>\n\n  \n\n</span>\n\n  <i>Water</i>, 15(19): 3413. 9 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.mdpi.com/2073-4441/15/19/3413\"\n     onclick=\"log_download('ekmekciolu-droughtforecastingusingintegratedvariationalmodedecompositionandextremegradientboosting-2023', 'https://www.mdpi.com/2073-4441/15/19/3413', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Drought Forecasting Using Integrated Variational Mode Decomposition and Extreme Gradient Boosting [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.3390/w15193413\"\n     onclick=\"log_download('ekmekciolu-droughtforecastingusingintegratedvariationalmodedecompositionandextremegradientboosting-2023', 'http://doi.org/10.3390/w15193413', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ekmekciolu-droughtforecastingusingintegratedvariationalmodedecompositionandextremegradientboosting-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ekmekciolu-droughtforecastingusingintegratedvariationalmodedecompositionandextremegradientboosting-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Drought Forecasting Using Integrated Variational Mode Decomposition and Extreme Gradient Boosting},\n type = {article},\n year = {2023},\n pages = {3413},\n volume = {15},\n websites = {https://www.mdpi.com/2073-4441/15/19/3413},\n month = {9},\n day = {28},\n id = {05b4b25e-a46d-32f3-853a-64189710c79a},\n created = {2023-11-16T17:08:35.433Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2023-11-16T17:08:35.433Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {The current study seeks to conduct time series forecasting of droughts by means of the state-of-the-art XGBoost algorithm. To explore the drought variability in one of the semi-arid regions of Turkey, i.e., Denizli, the self-calibrated Palmer Drought Severity Index (sc-PDSI) values were used and projections were made for different horizons, including short-term (1-month: t + 1), mid-term (3-months: t + 3 and 6-months: t + 6), and long-term (12-months: t + 12) periods. The original sc-PDSI time series was subjected to the partial autocorrelation function to identify the input configurations and, accordingly, one- (t − 1) and two-month (t − 2) lags were used to perform the forecast of the targeted outcomes. This research further incorporated the recently introduced variational mode decomposition (VMD) for signal processing into the predictive model to enhance the accuracy. The proposed model was not only benchmarked with the standalone XGBoost but also with the model generated by its hybridization with the discrete wavelet transform (DWT). The overall results revealed that the VMD-XGBoost model outperformed its counterparts in all lead-time forecasts with NSE values of 0.9778, 0.9405, 0.8476, and 0.6681 for t + 1, t + 3, t + 6, and t + 12, respectively. Transparency of the proposed hybrid model was further ensured by the Mann–Whitney U test, highlighting the results as statistically significant.},\n bibtype = {article},\n author = {Ekmekcioğlu, Ömer},\n doi = {10.3390/w15193413},\n journal = {Water},\n number = {19}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The current study seeks to conduct time series forecasting of droughts by means of the state-of-the-art XGBoost algorithm. To explore the drought variability in one of the semi-arid regions of Turkey, i.e., Denizli, the self-calibrated Palmer Drought Severity Index (sc-PDSI) values were used and projections were made for different horizons, including short-term (1-month: t + 1), mid-term (3-months: t + 3 and 6-months: t + 6), and long-term (12-months: t + 12) periods. The original sc-PDSI time series was subjected to the partial autocorrelation function to identify the input configurations and, accordingly, one- (t − 1) and two-month (t − 2) lags were used to perform the forecast of the targeted outcomes. This research further incorporated the recently introduced variational mode decomposition (VMD) for signal processing into the predictive model to enhance the accuracy. The proposed model was not only benchmarked with the standalone XGBoost but also with the model generated by its hybridization with the discrete wavelet transform (DWT). The overall results revealed that the VMD-XGBoost model outperformed its counterparts in all lead-time forecasts with NSE values of 0.9778, 0.9405, 0.8476, and 0.6681 for t + 1, t + 3, t + 6, and t + 12, respectively. Transparency of the proposed hybrid model was further ensured by the Mann–Whitney U test, highlighting the results as statistically significant.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ekmekciolu-ontheidentificationofmostappropriategreenrooftypesforurbanizedcitiesusingmultitierdecisionanalysisacasestudyofistanbulturkey-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/S2210670723003189\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ekmekciolu-ontheidentificationofmostappropriategreenrooftypesforurbanizedcitiesusingmultitierdecisionanalysisacasestudyofistanbulturkey-2023', 'https://linkinghub.elsevier.com/retrieve/pii/S2210670723003189', event);\">\n    On the identification of most appropriate green roof types for urbanized cities using multi-tier decision analysis: A case study of Istanbul, Turkey.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ekmekcioğlu,  Ö.\n</span>\n\n  \n\n</span>\n\n  <i>Sustainable Cities and Society</i>, 96: 104707. 9 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/S2210670723003189\"\n     onclick=\"log_download('ekmekciolu-ontheidentificationofmostappropriategreenrooftypesforurbanizedcitiesusingmultitierdecisionanalysisacasestudyofistanbulturkey-2023', 'https://linkinghub.elsevier.com/retrieve/pii/S2210670723003189', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"On the identification of most appropriate green roof types for urbanized cities using multi-tier decision analysis: A case study of Istanbul, Turkey [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.scs.2023.104707\"\n     onclick=\"log_download('ekmekciolu-ontheidentificationofmostappropriategreenrooftypesforurbanizedcitiesusingmultitierdecisionanalysisacasestudyofistanbulturkey-2023', 'http://doi.org/10.1016/j.scs.2023.104707', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ekmekciolu-ontheidentificationofmostappropriategreenrooftypesforurbanizedcitiesusingmultitierdecisionanalysisacasestudyofistanbulturkey-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ekmekciolu-ontheidentificationofmostappropriategreenrooftypesforurbanizedcitiesusingmultitierdecisionanalysisacasestudyofistanbulturkey-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {On the identification of most appropriate green roof types for urbanized cities using multi-tier decision analysis: A case study of Istanbul, Turkey},\n type = {article},\n year = {2023},\n pages = {104707},\n volume = {96},\n websites = {https://linkinghub.elsevier.com/retrieve/pii/S2210670723003189},\n month = {9},\n id = {44f120c2-d788-3a68-9278-ddc8bef7f8d6},\n created = {2023-11-22T08:25:33.432Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2023-11-22T08:25:33.432Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n bibtype = {article},\n author = {Ekmekcioğlu, Ömer},\n doi = {10.1016/j.scs.2023.104707},\n journal = {Sustainable Cities and Society}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"koyuncu-ekmekciolu-cbstabanlmelezmakinerenmesiuygulamalarnnaniselduyarllkharitalamasndakullanm-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://dergipark.org.tr/tr/doi/10.21597/jist.1225104\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'koyuncu-ekmekciolu-cbstabanlmelezmakinerenmesiuygulamalarnnaniselduyarllkharitalamasndakullanm-2023', 'http://dergipark.org.tr/tr/doi/10.21597/jist.1225104', event);\">\n    CBS Tabanlı Melez Makine Öğrenmesi Uygulamalarının Ani Sel Duyarlılık Haritalamasında Kullanımı.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Koyuncu,  Z.;  and Ekmekcioğlu,  Ö.\n</span>\n\n  \n\n</span>\n\n  <i>Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi</i>, 13(2): 1067-1084. 6 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://dergipark.org.tr/tr/doi/10.21597/jist.1225104\"\n     onclick=\"log_download('koyuncu-ekmekciolu-cbstabanlmelezmakinerenmesiuygulamalarnnaniselduyarllkharitalamasndakullanm-2023', 'http://dergipark.org.tr/tr/doi/10.21597/jist.1225104', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"CBS Tabanlı Melez Makine Öğrenmesi Uygulamalarının Ani Sel Duyarlılık Haritalamasında Kullanımı [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.21597/jist.1225104\"\n     onclick=\"log_download('koyuncu-ekmekciolu-cbstabanlmelezmakinerenmesiuygulamalarnnaniselduyarllkharitalamasndakullanm-2023', 'http://doi.org/10.21597/jist.1225104', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/koyuncu-ekmekciolu-cbstabanlmelezmakinerenmesiuygulamalarnnaniselduyarllkharitalamasndakullanm-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('koyuncu-ekmekciolu-cbstabanlmelezmakinerenmesiuygulamalarnnaniselduyarllkharitalamasndakullanm-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {CBS Tabanlı Melez Makine Öğrenmesi Uygulamalarının Ani Sel Duyarlılık Haritalamasında Kullanımı},\n type = {article},\n year = {2023},\n pages = {1067-1084},\n volume = {13},\n websites = {http://dergipark.org.tr/tr/doi/10.21597/jist.1225104},\n month = {6},\n day = {1},\n id = {5a86d94f-8d34-36a9-be80-89c396836bc7},\n created = {2024-03-17T00:33:15.235Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2024-03-17T00:33:15.235Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {Bu çalışmada Kentucky Nehri havzasında son yirmi yılda meydana gelen ani sel baskınları kayıtlarına dayanarak makine öğrenmesi yöntemleri kullanılarak taşkın tehlike haritalamasının yapılması amaçlanmıştır. Tahminlerin gerçekleştirilebilmesi için yaygın olarak kullanılan ve pratik bir algoritma olan rastgele orman (RF) yöntemi kullanılmıştır. Ayrıca, bu yöntemin içsel parametreleri (ağaç sayısı ve maksimum ağaç derinliği) ise parçacık sürü optimizasyonu (PSO) algoritması ile optimize edilmiştir. Bu bağlamda 343 adet geçmiş ani sel kayıtlarına ilaveten havza sınırları içerisinde yer alacak şekilde aynı sayıda rastgele nokta atanmıştır. Tüm bu noktalara 12 adet ani sel tehlikesini tetikleyecek faktörler tanıtılmış olup, tahminler bu doğrultuda gerçekleştirilmiştir. Tahmin sonuçları birçok performans değerlendirme indikatörü göz önüne alınarak analiz edildiğinde melez PSO-RF modelinin test veri setinde oldukça başarılı sonuçlar gösterdiği görülmüştür. Öyle ki hem ani sel olan noktalar hem de ani sel gerçekleşmeyen noktalar %70 oranında doğruluk ile tahmin edilmiştir. Yapılan detaylı değerlendirmeler sonucu ise ikili sınıflandırma problemlerinde önemli bir gösterge olan AUROC değeri ise 0.79 olarak hesaplanmıştır. Ayrıca, ani selleri tetikleyen faktörlerin sonuçlar üzerindeki tekil etkileri incelendiğinde şiddetli yağış faktörü en etkili değişken olarak bulunmuş olup, onu sırasıyla topoğrafya, NDVI ve eğri numarası faktörleri izlemiştir. Öte yandan, litoloji faktörünün ani sellerin modellenmesi üzerindeki etkisi ise diğer faktörlere göre oldukça az olduğu sonucuna varılmıştır. Tüm bu bulgular ışığında elde edilen sonuçlar hem taşkın tehlike haritalaması literatürüne katkı yapacak, hem de ilgili bölgede yaşanacak gelecek ani sel olayları meydana gelmeden alınması gereken tedbirler ile ilgili yol gösterici nitelikte olacaktır.},\n bibtype = {article},\n author = {Koyuncu, Zehra and Ekmekcioğlu, Ömer},\n doi = {10.21597/jist.1225104},\n journal = {Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi},\n number = {2}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Bu çalışmada Kentucky Nehri havzasında son yirmi yılda meydana gelen ani sel baskınları kayıtlarına dayanarak makine öğrenmesi yöntemleri kullanılarak taşkın tehlike haritalamasının yapılması amaçlanmıştır. Tahminlerin gerçekleştirilebilmesi için yaygın olarak kullanılan ve pratik bir algoritma olan rastgele orman (RF) yöntemi kullanılmıştır. Ayrıca, bu yöntemin içsel parametreleri (ağaç sayısı ve maksimum ağaç derinliği) ise parçacık sürü optimizasyonu (PSO) algoritması ile optimize edilmiştir. Bu bağlamda 343 adet geçmiş ani sel kayıtlarına ilaveten havza sınırları içerisinde yer alacak şekilde aynı sayıda rastgele nokta atanmıştır. Tüm bu noktalara 12 adet ani sel tehlikesini tetikleyecek faktörler tanıtılmış olup, tahminler bu doğrultuda gerçekleştirilmiştir. Tahmin sonuçları birçok performans değerlendirme indikatörü göz önüne alınarak analiz edildiğinde melez PSO-RF modelinin test veri setinde oldukça başarılı sonuçlar gösterdiği görülmüştür. Öyle ki hem ani sel olan noktalar hem de ani sel gerçekleşmeyen noktalar %70 oranında doğruluk ile tahmin edilmiştir. Yapılan detaylı değerlendirmeler sonucu ise ikili sınıflandırma problemlerinde önemli bir gösterge olan AUROC değeri ise 0.79 olarak hesaplanmıştır. Ayrıca, ani selleri tetikleyen faktörlerin sonuçlar üzerindeki tekil etkileri incelendiğinde şiddetli yağış faktörü en etkili değişken olarak bulunmuş olup, onu sırasıyla topoğrafya, NDVI ve eğri numarası faktörleri izlemiştir. Öte yandan, litoloji faktörünün ani sellerin modellenmesi üzerindeki etkisi ise diğer faktörlere göre oldukça az olduğu sonucuna varılmıştır. Tüm bu bulgular ışığında elde edilen sonuçlar hem taşkın tehlike haritalaması literatürüne katkı yapacak, hem de ilgili bölgede yaşanacak gelecek ani sel olayları meydana gelmeden alınması gereken tedbirler ile ilgili yol gösterici nitelikte olacaktır.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"mouhoumed-ekmekciolu-baakn-zger-integratedfuzzyahptopsismodelforassessingmanagedaquiferrechargepotentialinahotdryregionacasestudyofdjiboutiatacountryscale-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.mdpi.com/2073-4441/15/14/2534\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'mouhoumed-ekmekciolu-baakn-zger-integratedfuzzyahptopsismodelforassessingmanagedaquiferrechargepotentialinahotdryregionacasestudyofdjiboutiatacountryscale-2023', 'https://www.mdpi.com/2073-4441/15/14/2534', event);\">\n    Integrated Fuzzy AHP-TOPSIS Model for Assessing Managed Aquifer Recharge Potential in a Hot Dry Region: A Case Study of Djibouti at a Country Scale.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Mouhoumed,  R., M.; Ekmekcioğlu,  Ö.; Başakın,  E., E.;  and Özger,  M.\n</span>\n\n  \n\n</span>\n\n  <i>Water</i>, 15(14): 2534. 7 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.mdpi.com/2073-4441/15/14/2534\"\n     onclick=\"log_download('mouhoumed-ekmekciolu-baakn-zger-integratedfuzzyahptopsismodelforassessingmanagedaquiferrechargepotentialinahotdryregionacasestudyofdjiboutiatacountryscale-2023', 'https://www.mdpi.com/2073-4441/15/14/2534', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Integrated Fuzzy AHP-TOPSIS Model for Assessing Managed Aquifer Recharge Potential in a Hot Dry Region: A Case Study of Djibouti at a Country Scale [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.3390/w15142534\"\n     onclick=\"log_download('mouhoumed-ekmekciolu-baakn-zger-integratedfuzzyahptopsismodelforassessingmanagedaquiferrechargepotentialinahotdryregionacasestudyofdjiboutiatacountryscale-2023', 'http://doi.org/10.3390/w15142534', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/mouhoumed-ekmekciolu-baakn-zger-integratedfuzzyahptopsismodelforassessingmanagedaquiferrechargepotentialinahotdryregionacasestudyofdjiboutiatacountryscale-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('mouhoumed-ekmekciolu-baakn-zger-integratedfuzzyahptopsismodelforassessingmanagedaquiferrechargepotentialinahotdryregionacasestudyofdjiboutiatacountryscale-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Integrated Fuzzy AHP-TOPSIS Model for Assessing Managed Aquifer Recharge Potential in a Hot Dry Region: A Case Study of Djibouti at a Country Scale},\n type = {article},\n year = {2023},\n pages = {2534},\n volume = {15},\n websites = {https://www.mdpi.com/2073-4441/15/14/2534},\n month = {7},\n day = {10},\n id = {bda39e28-d536-3a77-a479-0ad6d53bfd57},\n created = {2025-03-13T11:46:31.391Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2025-03-13T11:46:31.391Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {Given the prevailing arid climate and rapid population growth, groundwater resources face unprecedented challenges globally, including depletion, seawater intrusion, and contamination. Managed aquifer recharge (MAR) technologies have emerged as valuable solutions to address these pressing issues. However, identifying suitable regions for MAR activities is a complex task, particularly at the country level. Therefore, in this study, we propose a robust approach that combines the fuzzy analytical hierarchy process (AHP) and the technique for order of preference by similarity to ideal solution (TOPSIS) to delineate suitable sites for MAR structures. The proposed model was applied to Djibouti, a hot, dry, and water-stressed country. We identified a set of nine decision criteria and conducted a pairwise comparison survey to determine their relative importance. Additionally, the TOPSIS method was employed to integrate the decision layers and prioritize the study area. The results highlight the significance of rainfall, the slope, and the NDVI as the most influential decision parameters, while the drainage density has the least impact. A suitability analysis reveals that 16.38%, 17.96%, and 30.41% of the country have a very high, high, and moderate potential for MAR activities, respectively. Furthermore, a sensitivity analysis demonstrates the stability of the proposed model, affirming the usefulness of the generated suitability map.},\n bibtype = {article},\n author = {Mouhoumed, Rachid Mohamed and Ekmekcioğlu, Ömer and Başakın, Eyyup Ensar and Özger, Mehmet},\n doi = {10.3390/w15142534},\n journal = {Water},\n number = {14}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Given the prevailing arid climate and rapid population growth, groundwater resources face unprecedented challenges globally, including depletion, seawater intrusion, and contamination. Managed aquifer recharge (MAR) technologies have emerged as valuable solutions to address these pressing issues. However, identifying suitable regions for MAR activities is a complex task, particularly at the country level. Therefore, in this study, we propose a robust approach that combines the fuzzy analytical hierarchy process (AHP) and the technique for order of preference by similarity to ideal solution (TOPSIS) to delineate suitable sites for MAR structures. The proposed model was applied to Djibouti, a hot, dry, and water-stressed country. We identified a set of nine decision criteria and conducted a pairwise comparison survey to determine their relative importance. Additionally, the TOPSIS method was employed to integrate the decision layers and prioritize the study area. The results highlight the significance of rainfall, the slope, and the NDVI as the most influential decision parameters, while the drainage density has the least impact. A suitability analysis reveals that 16.38%, 17.96%, and 30.41% of the country have a very high, high, and moderate potential for MAR activities, respectively. Furthermore, a sensitivity analysis demonstrates the stability of the proposed model, affirming the usefulness of the generated suitability map.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"koc-ekmekciolu-gurgun-determiningsusceptiblebodypartsofconstructionworkersduetooccupationalinjuriesusinginclusivemodelling-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/S0925753523000991\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'koc-ekmekciolu-gurgun-determiningsusceptiblebodypartsofconstructionworkersduetooccupationalinjuriesusinginclusivemodelling-2023', 'https://linkinghub.elsevier.com/retrieve/pii/S0925753523000991', event);\">\n    Determining susceptible body parts of construction workers due to occupational injuries using inclusive modelling.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Koc,  K.; Ekmekcioğlu,  Ö.;  and Gurgun,  A., P.\n</span>\n\n  \n\n</span>\n\n  <i>Safety Science</i>, 164: 106157. 8 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/S0925753523000991\"\n     onclick=\"log_download('koc-ekmekciolu-gurgun-determiningsusceptiblebodypartsofconstructionworkersduetooccupationalinjuriesusinginclusivemodelling-2023', 'https://linkinghub.elsevier.com/retrieve/pii/S0925753523000991', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Determining susceptible body parts of construction workers due to occupational injuries using inclusive modelling [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.ssci.2023.106157\"\n     onclick=\"log_download('koc-ekmekciolu-gurgun-determiningsusceptiblebodypartsofconstructionworkersduetooccupationalinjuriesusinginclusivemodelling-2023', 'http://doi.org/10.1016/j.ssci.2023.106157', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/koc-ekmekciolu-gurgun-determiningsusceptiblebodypartsofconstructionworkersduetooccupationalinjuriesusinginclusivemodelling-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('koc-ekmekciolu-gurgun-determiningsusceptiblebodypartsofconstructionworkersduetooccupationalinjuriesusinginclusivemodelling-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Determining susceptible body parts of construction workers due to occupational injuries using inclusive modelling},\n type = {article},\n year = {2023},\n pages = {106157},\n volume = {164},\n websites = {https://linkinghub.elsevier.com/retrieve/pii/S0925753523000991},\n month = {8},\n id = {d934085e-1d1f-3642-a09c-e0587e598e4e},\n created = {2025-03-13T11:46:31.503Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2025-03-13T11:46:31.503Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n bibtype = {article},\n author = {Koc, Kerim and Ekmekcioğlu, Ömer and Gurgun, Asli Pelin},\n doi = {10.1016/j.ssci.2023.106157},\n journal = {Safety Science}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"pham-ekmekciolu-ali-koc-parvin-examiningtheroleofclassimbalancehandlingstrategiesinpredictingearthquakeinducedlandslideproneregions-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/S1568494623004477\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'pham-ekmekciolu-ali-koc-parvin-examiningtheroleofclassimbalancehandlingstrategiesinpredictingearthquakeinducedlandslideproneregions-2023', 'https://linkinghub.elsevier.com/retrieve/pii/S1568494623004477', event);\">\n    Examining the role of class imbalance handling strategies in predicting earthquake-induced landslide-prone regions.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Pham,  Q., B.; Ekmekcioğlu,  Ö.; Ali,  S., A.; Koc,  K.;  and Parvin,  F.\n</span>\n\n  \n\n</span>\n\n  <i>Applied Soft Computing</i>, 143: 110429. 8 2023.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/S1568494623004477\"\n     onclick=\"log_download('pham-ekmekciolu-ali-koc-parvin-examiningtheroleofclassimbalancehandlingstrategiesinpredictingearthquakeinducedlandslideproneregions-2023', 'https://linkinghub.elsevier.com/retrieve/pii/S1568494623004477', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Examining the role of class imbalance handling strategies in predicting earthquake-induced landslide-prone regions [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.asoc.2023.110429\"\n     onclick=\"log_download('pham-ekmekciolu-ali-koc-parvin-examiningtheroleofclassimbalancehandlingstrategiesinpredictingearthquakeinducedlandslideproneregions-2023', 'http://doi.org/10.1016/j.asoc.2023.110429', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/pham-ekmekciolu-ali-koc-parvin-examiningtheroleofclassimbalancehandlingstrategiesinpredictingearthquakeinducedlandslideproneregions-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('pham-ekmekciolu-ali-koc-parvin-examiningtheroleofclassimbalancehandlingstrategiesinpredictingearthquakeinducedlandslideproneregions-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Examining the role of class imbalance handling strategies in predicting earthquake-induced landslide-prone regions},\n type = {article},\n year = {2023},\n pages = {110429},\n volume = {143},\n websites = {https://linkinghub.elsevier.com/retrieve/pii/S1568494623004477},\n month = {8},\n id = {a62786e2-de92-3ef0-8b99-6f5939d9e8f7},\n created = {2025-03-13T11:46:31.505Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2025-03-13T11:46:31.505Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n bibtype = {article},\n author = {Pham, Quoc Bao and Ekmekcioğlu, Ömer and Ali, Sk Ajim and Koc, Kerim and Parvin, Farhana},\n doi = {10.1016/j.asoc.2023.110429},\n journal = {Applied Soft Computing}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2022\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2022')\"\n      onkeypress=\"toggleGroup('group_2022')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2022</span>\n      <span class=\"bibbase_group_count\">\n        \n        (12)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"ekmekciolu-baakn-zger-treebasednonlinearensembletechniquetopredictenergydissipationinsteppedspillways-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.tandfonline.com/doi/full/10.1080/19648189.2020.1805024\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ekmekciolu-baakn-zger-treebasednonlinearensembletechniquetopredictenergydissipationinsteppedspillways-2022', 'https://www.tandfonline.com/doi/full/10.1080/19648189.2020.1805024', event);\">\n    Tree-based nonlinear ensemble technique to predict energy dissipation in stepped spillways.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ekmekcioğlu,  Ö.; Başakın,  E., E.;  and Özger,  M.\n</span>\n\n  \n\n</span>\n\n  <i>European Journal of Environmental and Civil Engineering</i>, 26(8): 3547-3565. 6 2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.tandfonline.com/doi/full/10.1080/19648189.2020.1805024\"\n     onclick=\"log_download('ekmekciolu-baakn-zger-treebasednonlinearensembletechniquetopredictenergydissipationinsteppedspillways-2022', 'https://www.tandfonline.com/doi/full/10.1080/19648189.2020.1805024', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Tree-based nonlinear ensemble technique to predict energy dissipation in stepped spillways [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1080/19648189.2020.1805024\"\n     onclick=\"log_download('ekmekciolu-baakn-zger-treebasednonlinearensembletechniquetopredictenergydissipationinsteppedspillways-2022', 'http://doi.org/10.1080/19648189.2020.1805024', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ekmekciolu-baakn-zger-treebasednonlinearensembletechniquetopredictenergydissipationinsteppedspillways-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ekmekciolu-baakn-zger-treebasednonlinearensembletechniquetopredictenergydissipationinsteppedspillways-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Tree-based nonlinear ensemble technique to predict energy dissipation in stepped spillways},\n type = {article},\n year = {2022},\n keywords = {Energy dissipation,machine learning,skimming flow,stepped spillway,tree-based ensemble models},\n pages = {3547-3565},\n volume = {26},\n websites = {https://www.tandfonline.com/doi/full/10.1080/19648189.2020.1805024},\n month = {6},\n publisher = {Taylor &amp; Francis},\n day = {11},\n id = {314d6a69-9f91-31a1-b9fb-496025e1232c},\n created = {2020-10-21T09:08:05.367Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2023-02-03T06:55:54.602Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n folder_uuids = {c5533b1d-36e5-4bbb-a4b5-fca0f923a0c3,5b8365e6-031b-4dee-80a0-95c1b735e3a9},\n private_publication = {false},\n abstract = {In this study, under the skimming flow regime, energy dissipation was investigated with data-driven methods. The data set obtained from the laboratory experiments were modelled by different machine learning (ML) methods, including support vector machine (SVM), K-star (K*) algorithm and artificial neural networks (ANN). Afterwards, for the first time in the literature, linear and nonlinear ensemble models were established in order to improve the accuracy of single models in predicting energy dissipation. Simple average (SA-E) and weighted average (WA-E) were performed as linear ensemble models while M5 Model Tree (M5-MTE) and Random Forest (RF-E) were used to establish non-linear ensemble models. The model results were evaluated according to performance metrics, such as Coefficient of Correlation (CC), Percent Bias (PBIAS), Performance Index (PI), Willmott’s index of agreement (WI) and Nash-Sutcliffe efficiency criteria (NSE). The NSE values are calculated as 0.986, 0.909 and 0.985 for SVM, K* and ANN models, respectively. Moreover, for the ensemble models, higher NSE values were obtained for both linear (NSESA-E = 0.9887, NSEWA-E = 0.9916) and tree-based non-linear (NSEM5 MT-E = 0.9963, NSERF-E = 0.9974) models. Overall, it can be stated that tree-based ensemble models make better predictions for energy dissipation calculation in step spilways compared to single ML methods.},\n bibtype = {article},\n author = {Ekmekcioğlu, Ömer and Başakın, Eyyup Ensar and Özger, Mehmet},\n doi = {10.1080/19648189.2020.1805024},\n journal = {European Journal of Environmental and Civil Engineering},\n number = {8}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  In this study, under the skimming flow regime, energy dissipation was investigated with data-driven methods. The data set obtained from the laboratory experiments were modelled by different machine learning (ML) methods, including support vector machine (SVM), K-star (K*) algorithm and artificial neural networks (ANN). Afterwards, for the first time in the literature, linear and nonlinear ensemble models were established in order to improve the accuracy of single models in predicting energy dissipation. Simple average (SA-E) and weighted average (WA-E) were performed as linear ensemble models while M5 Model Tree (M5-MTE) and Random Forest (RF-E) were used to establish non-linear ensemble models. The model results were evaluated according to performance metrics, such as Coefficient of Correlation (CC), Percent Bias (PBIAS), Performance Index (PI), Willmott’s index of agreement (WI) and Nash-Sutcliffe efficiency criteria (NSE). The NSE values are calculated as 0.986, 0.909 and 0.985 for SVM, K* and ANN models, respectively. Moreover, for the ensemble models, higher NSE values were obtained for both linear (NSESA-E = 0.9887, NSEWA-E = 0.9916) and tree-based non-linear (NSEM5 MT-E = 0.9963, NSERF-E = 0.9974) models. Overall, it can be stated that tree-based ensemble models make better predictions for energy dissipation calculation in step spilways compared to single ML methods.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"baakn-ekmekciolu-takolu-zger-anewinsighttothewindspeedforecastingrobustmultistageensemblesoftcomputingapproachbasedonpreprocessinguncertaintyassessment-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://link.springer.com/10.1007/s00521-021-06424-6\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'baakn-ekmekciolu-takolu-zger-anewinsighttothewindspeedforecastingrobustmultistageensemblesoftcomputingapproachbasedonpreprocessinguncertaintyassessment-2022', 'https://link.springer.com/10.1007/s00521-021-06424-6', event);\">\n    A new insight to the wind speed forecasting: robust multi-stage ensemble soft computing approach based on pre-processing uncertainty assessment.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Başakın,  E., E.; Ekmekcioğlu,  Ö.; Çıtakoğlu,  H.;  and Özger,  M.\n</span>\n\n  \n\n</span>\n\n  <i>Neural Computing and Applications</i>, 34(1): 783-812. 1 2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://link.springer.com/10.1007/s00521-021-06424-6\"\n     onclick=\"log_download('baakn-ekmekciolu-takolu-zger-anewinsighttothewindspeedforecastingrobustmultistageensemblesoftcomputingapproachbasedonpreprocessinguncertaintyassessment-2022', 'https://link.springer.com/10.1007/s00521-021-06424-6', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A new insight to the wind speed forecasting: robust multi-stage ensemble soft computing approach based on pre-processing uncertainty assessment [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1007/s00521-021-06424-6\"\n     onclick=\"log_download('baakn-ekmekciolu-takolu-zger-anewinsighttothewindspeedforecastingrobustmultistageensemblesoftcomputingapproachbasedonpreprocessinguncertaintyassessment-2022', 'http://doi.org/10.1007/s00521-021-06424-6', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/baakn-ekmekciolu-takolu-zger-anewinsighttothewindspeedforecastingrobustmultistageensemblesoftcomputingapproachbasedonpreprocessinguncertaintyassessment-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('baakn-ekmekciolu-takolu-zger-anewinsighttothewindspeedforecastingrobustmultistageensemblesoftcomputingapproachbasedonpreprocessinguncertaintyassessment-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {A new insight to the wind speed forecasting: robust multi-stage ensemble soft computing approach based on pre-processing uncertainty assessment},\n type = {article},\n year = {2022},\n pages = {783-812},\n volume = {34},\n websites = {https://link.springer.com/10.1007/s00521-021-06424-6},\n month = {1},\n day = {30},\n id = {bc8b9523-9461-31c7-af2b-71a7b38fb8a3},\n created = {2021-09-07T15:56:17.429Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2022-03-17T14:59:04.190Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n folder_uuids = {5b8365e6-031b-4dee-80a0-95c1b735e3a9},\n private_publication = {false},\n bibtype = {article},\n author = {Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer and Çıtakoğlu, Hatice and Özger, Mehmet},\n doi = {10.1007/s00521-021-06424-6},\n journal = {Neural Computing and Applications},\n number = {1}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ekmekciolu-koc-zger-towardsfloodriskmappingbasedonmultitiereddecisionmakinginadenselyurbanizedmetropolitancityofistanbul-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/S2210670722000907\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ekmekciolu-koc-zger-towardsfloodriskmappingbasedonmultitiereddecisionmakinginadenselyurbanizedmetropolitancityofistanbul-2022', 'https://linkinghub.elsevier.com/retrieve/pii/S2210670722000907', event);\">\n    Towards flood risk mapping based on multi-tiered decision making in a densely urbanized metropolitan city of Istanbul.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ekmekcioğlu,  Ö.; Koc,  K.;  and Özger,  M.\n</span>\n\n  \n\n</span>\n\n  <i>Sustainable Cities and Society</i>, 80(November 2021): 103759. 5 2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/S2210670722000907\"\n     onclick=\"log_download('ekmekciolu-koc-zger-towardsfloodriskmappingbasedonmultitiereddecisionmakinginadenselyurbanizedmetropolitancityofistanbul-2022', 'https://linkinghub.elsevier.com/retrieve/pii/S2210670722000907', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Towards flood risk mapping based on multi-tiered decision making in a densely urbanized metropolitan city of Istanbul [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.scs.2022.103759\"\n     onclick=\"log_download('ekmekciolu-koc-zger-towardsfloodriskmappingbasedonmultitiereddecisionmakinginadenselyurbanizedmetropolitancityofistanbul-2022', 'http://doi.org/10.1016/j.scs.2022.103759', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ekmekciolu-koc-zger-towardsfloodriskmappingbasedonmultitiereddecisionmakinginadenselyurbanizedmetropolitancityofistanbul-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ekmekciolu-koc-zger-towardsfloodriskmappingbasedonmultitiereddecisionmakinginadenselyurbanizedmetropolitancityofistanbul-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Towards flood risk mapping based on multi-tiered decision making in a densely urbanized metropolitan city of Istanbul},\n type = {article},\n year = {2022},\n keywords = {flood risk management},\n pages = {103759},\n volume = {80},\n websites = {https://linkinghub.elsevier.com/retrieve/pii/S2210670722000907},\n month = {5},\n id = {1a71f979-59b4-3157-a046-ec39b6847fc2},\n created = {2022-02-22T12:37:54.917Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2023-04-02T02:50:04.634Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n folder_uuids = {5b8365e6-031b-4dee-80a0-95c1b735e3a9},\n private_publication = {false},\n bibtype = {article},\n author = {Ekmekcioğlu, Ömer and Koc, Kerim and Özger, Mehmet},\n doi = {10.1016/j.scs.2022.103759},\n journal = {Sustainable Cities and Society},\n number = {November 2021}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"koc-ekmekciolu-gurgun-accidentpredictioninconstructionusinghybridwaveletmachinelearning-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/S0926580521004386\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'koc-ekmekciolu-gurgun-accidentpredictioninconstructionusinghybridwaveletmachinelearning-2022', 'https://linkinghub.elsevier.com/retrieve/pii/S0926580521004386', event);\">\n    Accident prediction in construction using hybrid wavelet-machine learning.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Koc,  K.; Ekmekcioğlu,  Ö.;  and Gurgun,  A., P.\n</span>\n\n  \n\n</span>\n\n  <i>Automation in Construction</i>, 133: 103987. 1 2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/S0926580521004386\"\n     onclick=\"log_download('koc-ekmekciolu-gurgun-accidentpredictioninconstructionusinghybridwaveletmachinelearning-2022', 'https://linkinghub.elsevier.com/retrieve/pii/S0926580521004386', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Accident prediction in construction using hybrid wavelet-machine learning [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.autcon.2021.103987\"\n     onclick=\"log_download('koc-ekmekciolu-gurgun-accidentpredictioninconstructionusinghybridwaveletmachinelearning-2022', 'http://doi.org/10.1016/j.autcon.2021.103987', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/koc-ekmekciolu-gurgun-accidentpredictioninconstructionusinghybridwaveletmachinelearning-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('koc-ekmekciolu-gurgun-accidentpredictioninconstructionusinghybridwaveletmachinelearning-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Accident prediction in construction using hybrid wavelet-machine learning},\n type = {article},\n year = {2022},\n pages = {103987},\n volume = {133},\n websites = {https://linkinghub.elsevier.com/retrieve/pii/S0926580521004386},\n month = {1},\n id = {99588def-2b13-36e7-9bde-c529510f4001},\n created = {2022-03-17T14:58:09.599Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2022-03-17T14:58:09.599Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n bibtype = {article},\n author = {Koc, Kerim and Ekmekcioğlu, Ömer and Gurgun, Asli Pelin},\n doi = {10.1016/j.autcon.2021.103987},\n journal = {Automation in Construction}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ekmekciolu-demirel-booij-effectofdatalengthspinupperiodandspatialmodelresolutiononfullydistributedhydrologicalmodelcalibrationinthemosellebasin-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.tandfonline.com/doi/full/10.1080/02626667.2022.2046754\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ekmekciolu-demirel-booij-effectofdatalengthspinupperiodandspatialmodelresolutiononfullydistributedhydrologicalmodelcalibrationinthemosellebasin-2022', 'https://www.tandfonline.com/doi/full/10.1080/02626667.2022.2046754', event);\">\n    Effect of data length, spin-up period and spatial model resolution on fully distributed hydrological model calibration in the Moselle basin.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ekmekcioğlu,  Ö.; Demirel,  M., C.;  and Booij,  M., J.\n</span>\n\n  \n\n</span>\n\n  <i>Hydrological Sciences Journal</i>, 67(5): 759-772. 4 2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.tandfonline.com/doi/full/10.1080/02626667.2022.2046754\"\n     onclick=\"log_download('ekmekciolu-demirel-booij-effectofdatalengthspinupperiodandspatialmodelresolutiononfullydistributedhydrologicalmodelcalibrationinthemosellebasin-2022', 'https://www.tandfonline.com/doi/full/10.1080/02626667.2022.2046754', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Effect of data length, spin-up period and spatial model resolution on fully distributed hydrological model calibration in the Moselle basin [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1080/02626667.2022.2046754\"\n     onclick=\"log_download('ekmekciolu-demirel-booij-effectofdatalengthspinupperiodandspatialmodelresolutiononfullydistributedhydrologicalmodelcalibrationinthemosellebasin-2022', 'http://doi.org/10.1080/02626667.2022.2046754', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ekmekciolu-demirel-booij-effectofdatalengthspinupperiodandspatialmodelresolutiononfullydistributedhydrologicalmodelcalibrationinthemosellebasin-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ekmekciolu-demirel-booij-effectofdatalengthspinupperiodandspatialmodelresolutiononfullydistributedhydrologicalmodelcalibrationinthemosellebasin-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Effect of data length, spin-up period and spatial model resolution on fully distributed hydrological model calibration in the Moselle basin},\n type = {article},\n year = {2022},\n pages = {759-772},\n volume = {67},\n websites = {https://www.tandfonline.com/doi/full/10.1080/02626667.2022.2046754},\n month = {4},\n day = {4},\n id = {dccfa271-8903-30cc-8139-7a5492d5ebf8},\n created = {2022-03-17T14:59:03.963Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2022-05-19T07:28:05.198Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n bibtype = {article},\n author = {Ekmekcioğlu, Ömer and Demirel, Mehmet Cüneyd and Booij, Martijn J.},\n doi = {10.1080/02626667.2022.2046754},\n journal = {Hydrological Sciences Journal},\n number = {5}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ekmekciolu-koc-zger-ik-exploringtheadditionalvalueofclassimbalancedistributionsoninterpretableflashfloodsusceptibilitypredictionintheblackwarriorriverbasinalabamaunitedstates-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/S0022169422004528\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ekmekciolu-koc-zger-ik-exploringtheadditionalvalueofclassimbalancedistributionsoninterpretableflashfloodsusceptibilitypredictionintheblackwarriorriverbasinalabamaunitedstates-2022', 'https://linkinghub.elsevier.com/retrieve/pii/S0022169422004528', event);\">\n    Exploring the additional value of class imbalance distributions on interpretable flash flood susceptibility prediction in the Black Warrior River basin, Alabama, United States.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ekmekcioğlu,  Ö.; Koc,  K.; Özger,  M.;  and Işık,  Z.\n</span>\n\n  \n\n</span>\n\n  <i>Journal of Hydrology</i>, 610: 127877. 7 2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/S0022169422004528\"\n     onclick=\"log_download('ekmekciolu-koc-zger-ik-exploringtheadditionalvalueofclassimbalancedistributionsoninterpretableflashfloodsusceptibilitypredictionintheblackwarriorriverbasinalabamaunitedstates-2022', 'https://linkinghub.elsevier.com/retrieve/pii/S0022169422004528', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Exploring the additional value of class imbalance distributions on interpretable flash flood susceptibility prediction in the Black Warrior River basin, Alabama, United States [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.jhydrol.2022.127877\"\n     onclick=\"log_download('ekmekciolu-koc-zger-ik-exploringtheadditionalvalueofclassimbalancedistributionsoninterpretableflashfloodsusceptibilitypredictionintheblackwarriorriverbasinalabamaunitedstates-2022', 'http://doi.org/10.1016/j.jhydrol.2022.127877', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ekmekciolu-koc-zger-ik-exploringtheadditionalvalueofclassimbalancedistributionsoninterpretableflashfloodsusceptibilitypredictionintheblackwarriorriverbasinalabamaunitedstates-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ekmekciolu-koc-zger-ik-exploringtheadditionalvalueofclassimbalancedistributionsoninterpretableflashfloodsusceptibilitypredictionintheblackwarriorriverbasinalabamaunitedstates-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Exploring the additional value of class imbalance distributions on interpretable flash flood susceptibility prediction in the Black Warrior River basin, Alabama, United States},\n type = {article},\n year = {2022},\n pages = {127877},\n volume = {610},\n websites = {https://linkinghub.elsevier.com/retrieve/pii/S0022169422004528},\n month = {7},\n id = {d07de131-c830-3b6a-8419-deb9fcfc804e},\n created = {2022-05-19T07:28:04.915Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2022-05-19T07:28:04.915Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n bibtype = {article},\n author = {Ekmekcioğlu, Ömer and Koc, Kerim and Özger, Mehmet and Işık, Zeynep},\n doi = {10.1016/j.jhydrol.2022.127877},\n journal = {Journal of Hydrology}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ekmekciolu-koc-explainablestepwisebinaryclassificationforthesusceptibilityassessmentofgeohydrologicalhazards-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/S0341816222003654\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ekmekciolu-koc-explainablestepwisebinaryclassificationforthesusceptibilityassessmentofgeohydrologicalhazards-2022', 'https://linkinghub.elsevier.com/retrieve/pii/S0341816222003654', event);\">\n    Explainable step-wise binary classification for the susceptibility assessment of geo-hydrological hazards.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ekmekcioğlu,  Ö.;  and Koc,  K.\n</span>\n\n  \n\n</span>\n\n  <i>CATENA</i>, 216: 106379. 9 2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/S0341816222003654\"\n     onclick=\"log_download('ekmekciolu-koc-explainablestepwisebinaryclassificationforthesusceptibilityassessmentofgeohydrologicalhazards-2022', 'https://linkinghub.elsevier.com/retrieve/pii/S0341816222003654', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Explainable step-wise binary classification for the susceptibility assessment of geo-hydrological hazards [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.catena.2022.106379\"\n     onclick=\"log_download('ekmekciolu-koc-explainablestepwisebinaryclassificationforthesusceptibilityassessmentofgeohydrologicalhazards-2022', 'http://doi.org/10.1016/j.catena.2022.106379', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ekmekciolu-koc-explainablestepwisebinaryclassificationforthesusceptibilityassessmentofgeohydrologicalhazards-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ekmekciolu-koc-explainablestepwisebinaryclassificationforthesusceptibilityassessmentofgeohydrologicalhazards-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Explainable step-wise binary classification for the susceptibility assessment of geo-hydrological hazards},\n type = {article},\n year = {2022},\n pages = {106379},\n volume = {216},\n websites = {https://linkinghub.elsevier.com/retrieve/pii/S0341816222003654},\n month = {9},\n id = {1578d4f9-0bd3-3992-995e-317ac6f6e482},\n created = {2022-05-30T05:08:07.270Z},\n file_attached = {true},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2022-07-22T12:07:42.619Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n bibtype = {article},\n author = {Ekmekcioğlu, Ömer and Koc, Kerim},\n doi = {10.1016/j.catena.2022.106379},\n journal = {CATENA}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"zger-serencam-ekmekciolu-baakn-determiningthewaterlevelfluctuationsoflakevanthroughtheintegratedmachinelearningmethods-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://www.inderscience.com/link.php?id=10047900\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'zger-serencam-ekmekciolu-baakn-determiningthewaterlevelfluctuationsoflakevanthroughtheintegratedmachinelearningmethods-2022', 'http://www.inderscience.com/link.php?id=10047900', event);\">\n    Determining the water level fluctuations of Lake Van through the integrated machine learning methods.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Özger,  M.; Serencam,  U.; Ekmekcioğlu,  Ö.;  and Başakın,  E., E.\n</span>\n\n  \n\n</span>\n\n  <i>International Journal of Global Warming</i>, 27(2): 123.  2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://www.inderscience.com/link.php?id=10047900\"\n     onclick=\"log_download('zger-serencam-ekmekciolu-baakn-determiningthewaterlevelfluctuationsoflakevanthroughtheintegratedmachinelearningmethods-2022', 'http://www.inderscience.com/link.php?id=10047900', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Determining the water level fluctuations of Lake Van through the integrated machine learning methods [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1504/IJGW.2022.10047900\"\n     onclick=\"log_download('zger-serencam-ekmekciolu-baakn-determiningthewaterlevelfluctuationsoflakevanthroughtheintegratedmachinelearningmethods-2022', 'http://doi.org/10.1504/IJGW.2022.10047900', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/zger-serencam-ekmekciolu-baakn-determiningthewaterlevelfluctuationsoflakevanthroughtheintegratedmachinelearningmethods-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('zger-serencam-ekmekciolu-baakn-determiningthewaterlevelfluctuationsoflakevanthroughtheintegratedmachinelearningmethods-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Determining the water level fluctuations of Lake Van through the integrated machine learning methods},\n type = {article},\n year = {2022},\n pages = {123},\n volume = {27},\n websites = {http://www.inderscience.com/link.php?id=10047900},\n id = {896be197-b437-3e77-8354-594885d7fa3f},\n created = {2022-06-11T07:10:35.494Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2022-06-11T07:10:35.494Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n bibtype = {article},\n author = {Özger, Mehmet and Serencam, Uğur and Ekmekcioğlu, Ömer and Başakın, Eyyup Ensar},\n doi = {10.1504/IJGW.2022.10047900},\n journal = {International Journal of Global Warming},\n number = {2}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"koc-ekmekciolu-gurgun-predictionofconstructionaccidentoutcomesbasedonanimbalanceddatasetthroughintegratedresamplingtechniquesandmachinelearningmethods-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.emerald.com/insight/content/doi/10.1108/ECAM-04-2022-0305/full/html\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'koc-ekmekciolu-gurgun-predictionofconstructionaccidentoutcomesbasedonanimbalanceddatasetthroughintegratedresamplingtechniquesandmachinelearningmethods-2022', 'https://www.emerald.com/insight/content/doi/10.1108/ECAM-04-2022-0305/full/html', event);\">\n    Prediction of construction accident outcomes based on an imbalanced dataset through integrated resampling techniques and machine learning methods.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Koc,  K.; Ekmekcioğlu,  Ö.;  and Gurgun,  A., P.\n</span>\n\n  \n\n</span>\n\n  <i>Engineering, Construction and Architectural Management</i>. 6 2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.emerald.com/insight/content/doi/10.1108/ECAM-04-2022-0305/full/html\"\n     onclick=\"log_download('koc-ekmekciolu-gurgun-predictionofconstructionaccidentoutcomesbasedonanimbalanceddatasetthroughintegratedresamplingtechniquesandmachinelearningmethods-2022', 'https://www.emerald.com/insight/content/doi/10.1108/ECAM-04-2022-0305/full/html', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Prediction of construction accident outcomes based on an imbalanced dataset through integrated resampling techniques and machine learning methods [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1108/ECAM-04-2022-0305\"\n     onclick=\"log_download('koc-ekmekciolu-gurgun-predictionofconstructionaccidentoutcomesbasedonanimbalanceddatasetthroughintegratedresamplingtechniquesandmachinelearningmethods-2022', 'http://doi.org/10.1108/ECAM-04-2022-0305', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/koc-ekmekciolu-gurgun-predictionofconstructionaccidentoutcomesbasedonanimbalanceddatasetthroughintegratedresamplingtechniquesandmachinelearningmethods-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('koc-ekmekciolu-gurgun-predictionofconstructionaccidentoutcomesbasedonanimbalanceddatasetthroughintegratedresamplingtechniquesandmachinelearningmethods-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Prediction of construction accident outcomes based on an imbalanced dataset through integrated resampling techniques and machine learning methods},\n type = {article},\n year = {2022},\n websites = {https://www.emerald.com/insight/content/doi/10.1108/ECAM-04-2022-0305/full/html},\n month = {6},\n day = {23},\n id = {f91d7ae7-1b1e-30b1-839f-7f32719b2bb6},\n created = {2022-06-25T04:40:49.986Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2022-06-25T04:40:49.986Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n bibtype = {article},\n author = {Koc, Kerim and Ekmekcioğlu, Ömer and Gurgun, Asli Pelin},\n doi = {10.1108/ECAM-04-2022-0305},\n journal = {Engineering, Construction and Architectural Management}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ekmekciolu-baakn-zger-developingmetaheuristicoptimizationbasedensemblemachinelearningalgorithmsforhydraulicefficiencyassessmentofstormwatergrateinlets-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1080/1573062X.2022.2134806\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ekmekciolu-baakn-zger-developingmetaheuristicoptimizationbasedensemblemachinelearningalgorithmsforhydraulicefficiencyassessmentofstormwatergrateinlets-2022', 'https://doi.org/10.1080/1573062X.2022.2134806', event);\">\n    Developing meta-heuristic optimization based ensemble machine learning algorithms for hydraulic efficiency assessment of storm water grate inlets.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ekmekcioğlu,  Ö.; Başakın,  E., E.;  and Özger,  M.\n</span>\n\n  \n\n</span>\n\n  <i>Urban Water Journal</i>, 19(10): 1-16.  2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1080/1573062X.2022.2134806\"\n     onclick=\"log_download('ekmekciolu-baakn-zger-developingmetaheuristicoptimizationbasedensemblemachinelearningalgorithmsforhydraulicefficiencyassessmentofstormwatergrateinlets-2022', 'https://doi.org/10.1080/1573062X.2022.2134806', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Developing meta-heuristic optimization based ensemble machine learning algorithms for hydraulic efficiency assessment of storm water grate inlets [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1080/1573062X.2022.2134806\"\n     onclick=\"log_download('ekmekciolu-baakn-zger-developingmetaheuristicoptimizationbasedensemblemachinelearningalgorithmsforhydraulicefficiencyassessmentofstormwatergrateinlets-2022', 'http://doi.org/10.1080/1573062X.2022.2134806', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ekmekciolu-baakn-zger-developingmetaheuristicoptimizationbasedensemblemachinelearningalgorithmsforhydraulicefficiencyassessmentofstormwatergrateinlets-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ekmekciolu-baakn-zger-developingmetaheuristicoptimizationbasedensemblemachinelearningalgorithmsforhydraulicefficiencyassessmentofstormwatergrateinlets-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Developing meta-heuristic optimization based ensemble machine learning algorithms for hydraulic efficiency assessment of storm water grate inlets},\n type = {article},\n year = {2022},\n keywords = {heuristics,hydraulic efficiency,meta-,optimization,storm water grate inlet,tree-},\n pages = {1-16},\n volume = {19},\n websites = {https://doi.org/10.1080/1573062X.2022.2134806},\n publisher = {Taylor &amp; Francis},\n id = {131221d8-cdea-3e82-8344-bff0c3dd7323},\n created = {2022-11-08T15:30:39.035Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2022-11-08T15:30:39.035Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n bibtype = {article},\n author = {Ekmekcioğlu, Ömer and Başakın, Eyyup Ensar and Özger, Mehmet},\n doi = {10.1080/1573062X.2022.2134806},\n journal = {Urban Water Journal},\n number = {10}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ekmekciolu-koc-dabanli-deniz-prioritizingurbanwaterscarcitymitigationstrategiesbasedonhybridmulticriteriadecisionapproachunderfuzzyenvironment-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/S221067072200508X\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ekmekciolu-koc-dabanli-deniz-prioritizingurbanwaterscarcitymitigationstrategiesbasedonhybridmulticriteriadecisionapproachunderfuzzyenvironment-2022', 'https://linkinghub.elsevier.com/retrieve/pii/S221067072200508X', event);\">\n    Prioritizing urban water scarcity mitigation strategies based on hybrid multi-criteria decision approach under fuzzy environment.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ekmekcioğlu,  Ö.; Koc,  K.; Dabanli,  I.;  and Deniz,  A.\n</span>\n\n  \n\n</span>\n\n  <i>Sustainable Cities and Society</i>, 87(July): 104195. 12 2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/S221067072200508X\"\n     onclick=\"log_download('ekmekciolu-koc-dabanli-deniz-prioritizingurbanwaterscarcitymitigationstrategiesbasedonhybridmulticriteriadecisionapproachunderfuzzyenvironment-2022', 'https://linkinghub.elsevier.com/retrieve/pii/S221067072200508X', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Prioritizing urban water scarcity mitigation strategies based on hybrid multi-criteria decision approach under fuzzy environment [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.scs.2022.104195\"\n     onclick=\"log_download('ekmekciolu-koc-dabanli-deniz-prioritizingurbanwaterscarcitymitigationstrategiesbasedonhybridmulticriteriadecisionapproachunderfuzzyenvironment-2022', 'http://doi.org/10.1016/j.scs.2022.104195', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ekmekciolu-koc-dabanli-deniz-prioritizingurbanwaterscarcitymitigationstrategiesbasedonhybridmulticriteriadecisionapproachunderfuzzyenvironment-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ekmekciolu-koc-dabanli-deniz-prioritizingurbanwaterscarcitymitigationstrategiesbasedonhybridmulticriteriadecisionapproachunderfuzzyenvironment-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Prioritizing urban water scarcity mitigation strategies based on hybrid multi-criteria decision approach under fuzzy environment},\n type = {article},\n year = {2022},\n keywords = {Fuzzy ahp,Fuzzy topsis,Multi criteria decision making (mcdm),Resilient cities,Strategy prioritization,Urban water scarcity},\n pages = {104195},\n volume = {87},\n websites = {https://linkinghub.elsevier.com/retrieve/pii/S221067072200508X},\n month = {12},\n id = {354c48fc-0839-31a3-9e31-17eef7b06716},\n created = {2022-12-22T04:32:02.258Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2023-04-02T02:50:04.621Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {This study was undertaken to be a remedy to urban water scarcity phenomena having escalated consequences with the contemporaneous effects of climate change and over-urbanization. Hence, a broad list of mitigation strategies comprising 44 action plans under seven dimensions was assessed depending upon five constraints (i.e., cost-effectiveness, time/effort required, feasibility, primary benefit, and secondary benefits). To realize the overarching aim of this research, the analytical hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) each subjected to the fuzzy set theory were employed. In this regard, the fuzzy AHP was utilized for determining the weights of constraining criteria, while the prioritization of the strategies was performed via the fuzzy TOPSIS. The results revealed that the primary benefit is the most prevailing criterion compared to its counterparts. In addition, procuring organized land use planning and limiting new growth in urban areas was found as the most promising strategy to combat urban water scarcity phenomena. The findings further highlighted the effectiveness of conducting integrated water resource planning against climate change and fostering the use of sustainable materials domestically in not only mitigating urban water scarcity but also increasing the resiliency and sustainability of the urbanized cities.},\n bibtype = {article},\n author = {Ekmekcioğlu, Ömer and Koc, Kerim and Dabanli, Ismail and Deniz, Ali},\n doi = {10.1016/j.scs.2022.104195},\n journal = {Sustainable Cities and Society},\n number = {July}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  This study was undertaken to be a remedy to urban water scarcity phenomena having escalated consequences with the contemporaneous effects of climate change and over-urbanization. Hence, a broad list of mitigation strategies comprising 44 action plans under seven dimensions was assessed depending upon five constraints (i.e., cost-effectiveness, time/effort required, feasibility, primary benefit, and secondary benefits). To realize the overarching aim of this research, the analytical hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) each subjected to the fuzzy set theory were employed. In this regard, the fuzzy AHP was utilized for determining the weights of constraining criteria, while the prioritization of the strategies was performed via the fuzzy TOPSIS. The results revealed that the primary benefit is the most prevailing criterion compared to its counterparts. In addition, procuring organized land use planning and limiting new growth in urban areas was found as the most promising strategy to combat urban water scarcity phenomena. The findings further highlighted the effectiveness of conducting integrated water resource planning against climate change and fostering the use of sustainable materials domestically in not only mitigating urban water scarcity but also increasing the resiliency and sustainability of the urbanized cities.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"hall-durdyev-koc-ekmekcioglu-tupenaite-multicriteriaanalysisofbarrierstobuildinginformationmodelingbimadoptionforsmesinnewzealandconstructionindustry-2022\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://www.emerald.com/insight/content/doi/10.1108/ECAM-03-2022-0215/full/html\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'hall-durdyev-koc-ekmekcioglu-tupenaite-multicriteriaanalysisofbarrierstobuildinginformationmodelingbimadoptionforsmesinnewzealandconstructionindustry-2022', 'https://www.emerald.com/insight/content/doi/10.1108/ECAM-03-2022-0215/full/html', event);\">\n    Multi-criteria analysis of barriers to building information modeling (BIM) adoption for SMEs in New Zealand construction industry.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Hall,  A., T.; Durdyev,  S.; Koc,  K.; Ekmekcioglu,  O.;  and Tupenaite,  L.\n</span>\n\n  \n\n</span>\n\n  <i>Engineering, Construction and Architectural Management</i>. 6 2022.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://www.emerald.com/insight/content/doi/10.1108/ECAM-03-2022-0215/full/html\"\n     onclick=\"log_download('hall-durdyev-koc-ekmekcioglu-tupenaite-multicriteriaanalysisofbarrierstobuildinginformationmodelingbimadoptionforsmesinnewzealandconstructionindustry-2022', 'https://www.emerald.com/insight/content/doi/10.1108/ECAM-03-2022-0215/full/html', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Multi-criteria analysis of barriers to building information modeling (BIM) adoption for SMEs in New Zealand construction industry [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1108/ECAM-03-2022-0215\"\n     onclick=\"log_download('hall-durdyev-koc-ekmekcioglu-tupenaite-multicriteriaanalysisofbarrierstobuildinginformationmodelingbimadoptionforsmesinnewzealandconstructionindustry-2022', 'http://doi.org/10.1108/ECAM-03-2022-0215', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/hall-durdyev-koc-ekmekcioglu-tupenaite-multicriteriaanalysisofbarrierstobuildinginformationmodelingbimadoptionforsmesinnewzealandconstructionindustry-2022\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('hall-durdyev-koc-ekmekcioglu-tupenaite-multicriteriaanalysisofbarrierstobuildinginformationmodelingbimadoptionforsmesinnewzealandconstructionindustry-2022')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Multi-criteria analysis of barriers to building information modeling (BIM) adoption for SMEs in New Zealand construction industry},\n type = {article},\n year = {2022},\n keywords = {Analytical hierarchy process,Building information modeling,Digitalization,Digitization,Innovation,Small to medium enterprises},\n websites = {https://www.emerald.com/insight/content/doi/10.1108/ECAM-03-2022-0215/full/html},\n month = {6},\n day = {28},\n id = {7212fd5b-b1b6-3e5a-8c34-177c8349dd48},\n created = {2023-04-02T02:50:03.869Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2023-04-02T02:50:03.869Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {Purpose: Building information modeling (BIM) is a prominent concept to digitalize data collection and analysis processes. Small and medium-sized enterprises (SMEs) account for a considerable percentage of the works performed in the construction industry. The adoption rate of BIM by SMEs is still, however, not at the desired level in the New Zealand construction industry. This study aims to evaluate barriers to BIM implementation for SMEs in the New Zealand construction industry. Design/methodology/approach: This study adopted four-step methodology to evaluate barriers to BIM adoption for SMEs. First, a comprehensive literature review, followed by a focus group discussion was performed to identify barriers to BIM adoption. Then, analytical hierarchy process (AHP) was used to assess identified barriers. Finally, experts’ agreements (both internal and external) were ensured by consistency analysis and Kendall’s coefficient of concordance (Kendall’s W) tests. Findings: The findings indicate that (1) interoperability between software platforms, (2) lack of government mandate on BIM usage at project level, (3) high cost of acquiring the software and licensing required to use BIM and (4) lack of client demand for adopting BIM were the most significant barriers in terms of technological, governmental, resource and cultural categories, respectively. Further investigation of the expert evaluation showed strong consistencies (each expert separately) and agreements (among experts) in each AHP matrix. Practical implications: Primary focus should be training of local market (particularly SMEs) professionals as the shortage in qualified professionals makes the country-wide adoption challenging. The publicity in the local market can help SMEs understand how BIM is leveraged for further improvements in project performance. Originality/value: Overall, this research not only provides a roadmap for the widespread adoption of BIM within SMEs in New Zealand through analysis of the barriers encountered but also highlights the power that policymakers hold over the mass adoption of BIM within SMEs.},\n bibtype = {article},\n author = {Hall, Andrew Thomas and Durdyev, Serdar and Koc, Kerim and Ekmekcioglu, Omer and Tupenaite, Laura},\n doi = {10.1108/ECAM-03-2022-0215},\n journal = {Engineering, Construction and Architectural Management}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Purpose: Building information modeling (BIM) is a prominent concept to digitalize data collection and analysis processes. Small and medium-sized enterprises (SMEs) account for a considerable percentage of the works performed in the construction industry. The adoption rate of BIM by SMEs is still, however, not at the desired level in the New Zealand construction industry. This study aims to evaluate barriers to BIM implementation for SMEs in the New Zealand construction industry. Design/methodology/approach: This study adopted four-step methodology to evaluate barriers to BIM adoption for SMEs. First, a comprehensive literature review, followed by a focus group discussion was performed to identify barriers to BIM adoption. Then, analytical hierarchy process (AHP) was used to assess identified barriers. Finally, experts’ agreements (both internal and external) were ensured by consistency analysis and Kendall’s coefficient of concordance (Kendall’s W) tests. Findings: The findings indicate that (1) interoperability between software platforms, (2) lack of government mandate on BIM usage at project level, (3) high cost of acquiring the software and licensing required to use BIM and (4) lack of client demand for adopting BIM were the most significant barriers in terms of technological, governmental, resource and cultural categories, respectively. Further investigation of the expert evaluation showed strong consistencies (each expert separately) and agreements (among experts) in each AHP matrix. Practical implications: Primary focus should be training of local market (particularly SMEs) professionals as the shortage in qualified professionals makes the country-wide adoption challenging. The publicity in the local market can help SMEs understand how BIM is leveraged for further improvements in project performance. Originality/value: Overall, this research not only provides a roadmap for the widespread adoption of BIM within SMEs in New Zealand through analysis of the barriers encountered but also highlights the power that policymakers hold over the mass adoption of BIM within SMEs.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2021\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2021')\"\n      onkeypress=\"toggleGroup('group_2021')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2021</span>\n      <span class=\"bibbase_group_count\">\n        \n        (8)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"baakn-ekmekciolu-lettertotheeditorestimationofglobalsolarradiationdatabasedonsatellitederivedatmosphericparametersovertheurbanareaofmashhadiran-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://link.springer.com/10.1007/s11356-021-13201-4\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'baakn-ekmekciolu-lettertotheeditorestimationofglobalsolarradiationdatabasedonsatellitederivedatmosphericparametersovertheurbanareaofmashhadiran-2021', 'http://link.springer.com/10.1007/s11356-021-13201-4', event);\">\n    Letter to the Editor “Estimation of global solar radiation data based on satellite-derived atmospheric parameters over the urban area of Mashhad, Iran”.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Başakın,  E., E.;  and Ekmekcioğlu,  Ö.\n</span>\n\n  \n\n</span>\n\n  <i>Environmental Science and Pollution Research</i>, 28(15): 19530-19532. 4 2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://link.springer.com/10.1007/s11356-021-13201-4\"\n     onclick=\"log_download('baakn-ekmekciolu-lettertotheeditorestimationofglobalsolarradiationdatabasedonsatellitederivedatmosphericparametersovertheurbanareaofmashhadiran-2021', 'http://link.springer.com/10.1007/s11356-021-13201-4', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Letter to the Editor “Estimation of global solar radiation data based on satellite-derived atmospheric parameters over the urban area of Mashhad, Iran” [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1007/s11356-021-13201-4\"\n     onclick=\"log_download('baakn-ekmekciolu-lettertotheeditorestimationofglobalsolarradiationdatabasedonsatellitederivedatmosphericparametersovertheurbanareaofmashhadiran-2021', 'http://doi.org/10.1007/s11356-021-13201-4', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/baakn-ekmekciolu-lettertotheeditorestimationofglobalsolarradiationdatabasedonsatellitederivedatmosphericparametersovertheurbanareaofmashhadiran-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('baakn-ekmekciolu-lettertotheeditorestimationofglobalsolarradiationdatabasedonsatellitederivedatmosphericparametersovertheurbanareaofmashhadiran-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Letter to the Editor “Estimation of global solar radiation data based on satellite-derived atmospheric parameters over the urban area of Mashhad, Iran”},\n type = {article},\n year = {2021},\n pages = {19530-19532},\n volume = {28},\n websites = {http://link.springer.com/10.1007/s11356-021-13201-4},\n month = {4},\n day = {2},\n id = {a07f839d-6448-3e32-b52c-90f4565bfcfa},\n created = {2021-05-08T20:59:29.957Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2022-03-17T14:23:08.401Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n folder_uuids = {5b8365e6-031b-4dee-80a0-95c1b735e3a9,3161412e-2f0c-44e8-abb8-2ff0efd3823e},\n private_publication = {false},\n bibtype = {article},\n author = {Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer},\n doi = {10.1007/s11356-021-13201-4},\n journal = {Environmental Science and Pollution Research},\n number = {15}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ekmekciolu-koc-zger-stakeholderperceptionsinfloodriskassessmentahybridfuzzyahptopsisapproachforistanbulturkey-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/S2212420921002934\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ekmekciolu-koc-zger-stakeholderperceptionsinfloodriskassessmentahybridfuzzyahptopsisapproachforistanbulturkey-2021', 'https://linkinghub.elsevier.com/retrieve/pii/S2212420921002934', event);\">\n    Stakeholder perceptions in flood risk assessment: A hybrid fuzzy AHP-TOPSIS approach for Istanbul, Turkey.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ekmekcioğlu,  Ö.; Koc,  K.;  and Özger,  M.\n</span>\n\n  \n\n</span>\n\n  <i>International Journal of Disaster Risk Reduction</i>, 60: 102327. 6 2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/S2212420921002934\"\n     onclick=\"log_download('ekmekciolu-koc-zger-stakeholderperceptionsinfloodriskassessmentahybridfuzzyahptopsisapproachforistanbulturkey-2021', 'https://linkinghub.elsevier.com/retrieve/pii/S2212420921002934', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Stakeholder perceptions in flood risk assessment: A hybrid fuzzy AHP-TOPSIS approach for Istanbul, Turkey [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.ijdrr.2021.102327\"\n     onclick=\"log_download('ekmekciolu-koc-zger-stakeholderperceptionsinfloodriskassessmentahybridfuzzyahptopsisapproachforistanbulturkey-2021', 'http://doi.org/10.1016/j.ijdrr.2021.102327', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ekmekciolu-koc-zger-stakeholderperceptionsinfloodriskassessmentahybridfuzzyahptopsisapproachforistanbulturkey-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ekmekciolu-koc-zger-stakeholderperceptionsinfloodriskassessmentahybridfuzzyahptopsisapproachforistanbulturkey-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Stakeholder perceptions in flood risk assessment: A hybrid fuzzy AHP-TOPSIS approach for Istanbul, Turkey},\n type = {article},\n year = {2021},\n pages = {102327},\n volume = {60},\n websites = {https://linkinghub.elsevier.com/retrieve/pii/S2212420921002934},\n month = {6},\n id = {3517eeb0-b1d7-32cc-a936-d5b4af992434},\n created = {2021-05-22T13:44:45.671Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2022-03-17T14:58:11.120Z},\n read = {true},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n folder_uuids = {a5bfcf15-497f-4fd6-a278-d8242235418f,5b8365e6-031b-4dee-80a0-95c1b735e3a9},\n private_publication = {false},\n bibtype = {article},\n author = {Ekmekcioğlu, Ömer and Koc, Kerim and Özger, Mehmet},\n doi = {10.1016/j.ijdrr.2021.102327},\n journal = {International Journal of Disaster Risk Reduction}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"koc-ekmekciolu-zger-anintegratedframeworkforthecomprehensiveevaluationoflowimpactdevelopmentstrategies-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/S0301479721010859\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'koc-ekmekciolu-zger-anintegratedframeworkforthecomprehensiveevaluationoflowimpactdevelopmentstrategies-2021', 'https://linkinghub.elsevier.com/retrieve/pii/S0301479721010859', event);\">\n    An integrated framework for the comprehensive evaluation of low impact development strategies.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Koc,  K.; Ekmekcioğlu,  Ö.;  and Özger,  M.\n</span>\n\n  \n\n</span>\n\n  <i>Journal of Environmental Management</i>, 294: 113023. 9 2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/S0301479721010859\"\n     onclick=\"log_download('koc-ekmekciolu-zger-anintegratedframeworkforthecomprehensiveevaluationoflowimpactdevelopmentstrategies-2021', 'https://linkinghub.elsevier.com/retrieve/pii/S0301479721010859', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"An integrated framework for the comprehensive evaluation of low impact development strategies [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.jenvman.2021.113023\"\n     onclick=\"log_download('koc-ekmekciolu-zger-anintegratedframeworkforthecomprehensiveevaluationoflowimpactdevelopmentstrategies-2021', 'http://doi.org/10.1016/j.jenvman.2021.113023', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/koc-ekmekciolu-zger-anintegratedframeworkforthecomprehensiveevaluationoflowimpactdevelopmentstrategies-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('koc-ekmekciolu-zger-anintegratedframeworkforthecomprehensiveevaluationoflowimpactdevelopmentstrategies-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {An integrated framework for the comprehensive evaluation of low impact development strategies},\n type = {article},\n year = {2021},\n pages = {113023},\n volume = {294},\n websites = {https://linkinghub.elsevier.com/retrieve/pii/S0301479721010859},\n month = {9},\n id = {4d85bacf-bdde-398d-8e46-f041455db303},\n created = {2021-07-05T04:21:17.303Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2022-07-29T05:35:05.479Z},\n read = {true},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n folder_uuids = {5b8365e6-031b-4dee-80a0-95c1b735e3a9},\n private_publication = {false},\n bibtype = {article},\n author = {Koc, Kerim and Ekmekcioğlu, Ömer and Özger, Mehmet},\n doi = {10.1016/j.jenvman.2021.113023},\n journal = {Journal of Environmental Management}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"koc-ekmekciolu-gurgun-integratingfeatureengineeringgeneticalgorithmandtreebasedmachinelearningmethodstopredictthepostaccidentdisabilitystatusofconstructionworkers-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Koc,  K.; Ekmekcioğlu,  Ö.;  and Gurgun,  A., P.\n</span>\n\n  \n\n</span>\n\n  <i>Automation in Construction</i>, 131(March): 103896. 11 2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.autcon.2021.103896\"\n     onclick=\"log_download('koc-ekmekciolu-gurgun-integratingfeatureengineeringgeneticalgorithmandtreebasedmachinelearningmethodstopredictthepostaccidentdisabilitystatusofconstructionworkers-2021', 'http://doi.org/10.1016/j.autcon.2021.103896', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/koc-ekmekciolu-gurgun-integratingfeatureengineeringgeneticalgorithmandtreebasedmachinelearningmethodstopredictthepostaccidentdisabilitystatusofconstructionworkers-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('koc-ekmekciolu-gurgun-integratingfeatureengineeringgeneticalgorithmandtreebasedmachinelearningmethodstopredictthepostaccidentdisabilitystatusofconstructionworkers-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers},\n type = {article},\n year = {2021},\n pages = {103896},\n volume = {131},\n month = {11},\n id = {f127ceb2-0121-3ad8-a5fd-3a4fce51127d},\n created = {2021-09-06T04:08:00.673Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2022-03-17T14:58:11.212Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n folder_uuids = {540fb91a-4872-43bc-9fb1-4400ab8e4297,5b8365e6-031b-4dee-80a0-95c1b735e3a9},\n private_publication = {false},\n bibtype = {article},\n author = {Koc, Kerim and Ekmekcioğlu, Ömer and Gurgun, Asli Pelin},\n doi = {10.1016/j.autcon.2021.103896},\n journal = {Automation in Construction},\n number = {March}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ekmekciolu-koc-zger-districtbasedfloodriskassessmentinistanbulusingfuzzyanalyticalhierarchyprocess-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://link.springer.com/10.1007/s00477-020-01924-8\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ekmekciolu-koc-zger-districtbasedfloodriskassessmentinistanbulusingfuzzyanalyticalhierarchyprocess-2021', 'http://link.springer.com/10.1007/s00477-020-01924-8', event);\">\n    District based flood risk assessment in Istanbul using fuzzy analytical hierarchy process.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ekmekcioğlu,  Ö.; Koc,  K.;  and Özger,  M.\n</span>\n\n  \n\n</span>\n\n  <i>Stochastic Environmental Research and Risk Assessment</i>, 35(3): 617-637. 3 2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://link.springer.com/10.1007/s00477-020-01924-8\"\n     onclick=\"log_download('ekmekciolu-koc-zger-districtbasedfloodriskassessmentinistanbulusingfuzzyanalyticalhierarchyprocess-2021', 'http://link.springer.com/10.1007/s00477-020-01924-8', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"District based flood risk assessment in Istanbul using fuzzy analytical hierarchy process [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1007/s00477-020-01924-8\"\n     onclick=\"log_download('ekmekciolu-koc-zger-districtbasedfloodriskassessmentinistanbulusingfuzzyanalyticalhierarchyprocess-2021', 'http://doi.org/10.1007/s00477-020-01924-8', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ekmekciolu-koc-zger-districtbasedfloodriskassessmentinistanbulusingfuzzyanalyticalhierarchyprocess-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ekmekciolu-koc-zger-districtbasedfloodriskassessmentinistanbulusingfuzzyanalyticalhierarchyprocess-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {District based flood risk assessment in Istanbul using fuzzy analytical hierarchy process},\n type = {article},\n year = {2021},\n pages = {617-637},\n volume = {35},\n websites = {http://link.springer.com/10.1007/s00477-020-01924-8},\n month = {3},\n day = {30},\n id = {475f5a03-6ac9-3633-85e3-a58972ab8ba7},\n created = {2021-09-07T15:56:17.254Z},\n file_attached = {true},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2022-06-24T04:40:11.027Z},\n read = {true},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n folder_uuids = {7911c4b2-2ca3-4cc9-86e2-cd2071b5c1ea,b16ef938-1432-4619-8551-7f49d5549126,752edffd-ecb9-46af-8d49-57e1abfb91cf,7abd1139-2cab-4b9f-a719-2084653d513c,5b8365e6-031b-4dee-80a0-95c1b735e3a9},\n private_publication = {false},\n bibtype = {article},\n author = {Ekmekcioğlu, Ömer and Koc, Kerim and Özger, Mehmet},\n doi = {10.1007/s00477-020-01924-8},\n journal = {Stochastic Environmental Research and Risk Assessment},\n number = {3}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"baakn-ekmekciolu-zger-altnba-aylan-estimationofmeasuredevapotranspirationusingdatadrivenmethodswithlimitedmeteorologicalvariables-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://riviste.fupress.net/index.php/IJAm/article/view/1055\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'baakn-ekmekciolu-zger-altnba-aylan-estimationofmeasuredevapotranspirationusingdatadrivenmethodswithlimitedmeteorologicalvariables-2021', 'https://riviste.fupress.net/index.php/IJAm/article/view/1055', event);\">\n    Estimation of measured evapotranspiration using data-driven methods with limited meteorological variables.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Başakın,  E., E.; Ekmekcioğlu,  Ö.; Özger,  M.; Altınbaş,  N.;  and Şaylan,  L.\n</span>\n\n  \n\n</span>\n\n  <i>Italian Journal of Agrometeorology</i>, (1): 63-80. 8 2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://riviste.fupress.net/index.php/IJAm/article/view/1055\"\n     onclick=\"log_download('baakn-ekmekciolu-zger-altnba-aylan-estimationofmeasuredevapotranspirationusingdatadrivenmethodswithlimitedmeteorologicalvariables-2021', 'https://riviste.fupress.net/index.php/IJAm/article/view/1055', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Estimation of measured evapotranspiration using data-driven methods with limited meteorological variables [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.36253/ijam-1055\"\n     onclick=\"log_download('baakn-ekmekciolu-zger-altnba-aylan-estimationofmeasuredevapotranspirationusingdatadrivenmethodswithlimitedmeteorologicalvariables-2021', 'http://doi.org/10.36253/ijam-1055', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/baakn-ekmekciolu-zger-altnba-aylan-estimationofmeasuredevapotranspirationusingdatadrivenmethodswithlimitedmeteorologicalvariables-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('baakn-ekmekciolu-zger-altnba-aylan-estimationofmeasuredevapotranspirationusingdatadrivenmethodswithlimitedmeteorologicalvariables-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Estimation of measured evapotranspiration using data-driven methods with limited meteorological variables},\n type = {article},\n year = {2021},\n pages = {63-80},\n websites = {https://riviste.fupress.net/index.php/IJAm/article/view/1055},\n month = {8},\n day = {9},\n id = {91aa003d-e7cc-30ae-97ff-cec7d7c4387d},\n created = {2021-09-07T15:56:17.332Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2022-03-17T14:23:08.605Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n folder_uuids = {5b8365e6-031b-4dee-80a0-95c1b735e3a9},\n private_publication = {false},\n abstract = {Determination of surface energy balance depends on the energy exchange between land and atmosphere. Thus, crop, soil and meteorological factors are crucial, particularly in agricultural fields. Evapotranspiration is derived from latent heat component of surface energy balance and is a key factor to clarify the energy transfer mechanism. Development of the methods and technologies for the aim of determining and measuring of evapotranspiration have been one of the main focus points for researchers. However, the direct measurement systems are not common because of economic reasons. This situation causes that different methods are used to estimate evapotranspiration, particularly in locations where no measurements are made. Thus, in this study, non-linear techniques were applied to make accurate estimations of evapotranspiration over the winter wheat canopy located in the field of Atatürk Soil Water and Agricultural Meteorology Research Institute Directorate, Kırklareli, Turkey. This is the first attempt in the literature which consist of the comparison of different machine learning methods in the evapotranspiration values obtained by the Bowen Ratio Energy Balance system. In order to accomplish this aim, support-vector machine, Adaptive neuro fuzzy inference system and Artificial neural network models have been evaluated for different input combinations. The results revealed that even with only global solar radiation data taken as an input, a high prediction accuracy can be achieved. These results are particularly advantageous in cases where the measurement of meteorological variables is limited. With the results of this study, progress can be made in the efficient use and management of water resources based on the input parameters of evapotranspiration especially for regions with limited data.},\n bibtype = {article},\n author = {Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer and Özger, Mehmet and Altınbaş, Nilcan and Şaylan, Levent},\n doi = {10.36253/ijam-1055},\n journal = {Italian Journal of Agrometeorology},\n number = {1}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Determination of surface energy balance depends on the energy exchange between land and atmosphere. Thus, crop, soil and meteorological factors are crucial, particularly in agricultural fields. Evapotranspiration is derived from latent heat component of surface energy balance and is a key factor to clarify the energy transfer mechanism. Development of the methods and technologies for the aim of determining and measuring of evapotranspiration have been one of the main focus points for researchers. However, the direct measurement systems are not common because of economic reasons. This situation causes that different methods are used to estimate evapotranspiration, particularly in locations where no measurements are made. Thus, in this study, non-linear techniques were applied to make accurate estimations of evapotranspiration over the winter wheat canopy located in the field of Atatürk Soil Water and Agricultural Meteorology Research Institute Directorate, Kırklareli, Turkey. This is the first attempt in the literature which consist of the comparison of different machine learning methods in the evapotranspiration values obtained by the Bowen Ratio Energy Balance system. In order to accomplish this aim, support-vector machine, Adaptive neuro fuzzy inference system and Artificial neural network models have been evaluated for different input combinations. The results revealed that even with only global solar radiation data taken as an input, a high prediction accuracy can be achieved. These results are particularly advantageous in cases where the measurement of meteorological variables is limited. With the results of this study, progress can be made in the efficient use and management of water resources based on the input parameters of evapotranspiration especially for regions with limited data.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ekmekciolu-ylmaz-zger-tosunolu-investigationofthelowimpactdevelopmentstrategiesforhighlyurbanizedareaviaautocalibratedstormwatermanagementmodelswmm-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://iwaponline.com/wst/article/84/9/2194/84443/Investigation-of-the-low-impact-development\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ekmekciolu-ylmaz-zger-tosunolu-investigationofthelowimpactdevelopmentstrategiesforhighlyurbanizedareaviaautocalibratedstormwatermanagementmodelswmm-2021', 'https://iwaponline.com/wst/article/84/9/2194/84443/Investigation-of-the-low-impact-development', event);\">\n    Investigation of the low impact development strategies for highly urbanized area via auto-calibrated Storm Water Management Model (SWMM).\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ekmekcioğlu,  Ö.; Yılmaz,  M.; Özger,  M.;  and Tosunoğlu,  F.\n</span>\n\n  \n\n</span>\n\n  <i>Water Science and Technology</i>, 84(9): 2194-2213. 11 2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://iwaponline.com/wst/article/84/9/2194/84443/Investigation-of-the-low-impact-development\"\n     onclick=\"log_download('ekmekciolu-ylmaz-zger-tosunolu-investigationofthelowimpactdevelopmentstrategiesforhighlyurbanizedareaviaautocalibratedstormwatermanagementmodelswmm-2021', 'https://iwaponline.com/wst/article/84/9/2194/84443/Investigation-of-the-low-impact-development', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Investigation of the low impact development strategies for highly urbanized area via auto-calibrated Storm Water Management Model (SWMM) [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.2166/wst.2021.432\"\n     onclick=\"log_download('ekmekciolu-ylmaz-zger-tosunolu-investigationofthelowimpactdevelopmentstrategiesforhighlyurbanizedareaviaautocalibratedstormwatermanagementmodelswmm-2021', 'http://doi.org/10.2166/wst.2021.432', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ekmekciolu-ylmaz-zger-tosunolu-investigationofthelowimpactdevelopmentstrategiesforhighlyurbanizedareaviaautocalibratedstormwatermanagementmodelswmm-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ekmekciolu-ylmaz-zger-tosunolu-investigationofthelowimpactdevelopmentstrategiesforhighlyurbanizedareaviaautocalibratedstormwatermanagementmodelswmm-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Investigation of the low impact development strategies for highly urbanized area via auto-calibrated Storm Water Management Model (SWMM)},\n type = {article},\n year = {2021},\n pages = {2194-2213},\n volume = {84},\n websites = {https://iwaponline.com/wst/article/84/9/2194/84443/Investigation-of-the-low-impact-development},\n month = {11},\n day = {1},\n id = {a4b6fe7d-88f6-38d2-9083-70e41acca7ae},\n created = {2022-03-17T14:58:09.500Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2022-03-17T14:58:09.500Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {This study aims to investigate the effectiveness of the low impact development (LID) practices on sustainable urban flood storm water management. We applied three LID techniques, i.e. green roof, permeable pavements and bioretention cells, on a highly urbanized watershed in Istanbul, Turkey. The EPA-SWMM was used as a hydrologic-hydraulic model and the model calibration was performed by the well-known Parameter ESTimation (PEST) tool. The rainfall-runoff events occurred between 2012 and 2020. A sensitivity analysis on the parameter selection was applied to reduce the computational cost. The Nash-Sutcliffe efficiency coefficient (NSE) was used as the objective function and it was calculated as 0.809 in the model calibration. The simulations were conducted for six different return periods of a storm event, i.e. 2, 5, 10, 25, 50 and 100 years, in which the synthetic storm event hyetographs were produced by means of the alternating block method. The results revealed that the combination of green roof and permeable pavements have the major impact on both the peak flood reduction and runoff volume reduction compared to the single LIDs. The maximum runoff reduction percentage was obtained as 56.02% for a 10 years return period of a storm event in the combination scenario.},\n bibtype = {article},\n author = {Ekmekcioğlu, Ömer and Yılmaz, Muhammet and Özger, Mehmet and Tosunoğlu, Fatih},\n doi = {10.2166/wst.2021.432},\n journal = {Water Science and Technology},\n number = {9}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  This study aims to investigate the effectiveness of the low impact development (LID) practices on sustainable urban flood storm water management. We applied three LID techniques, i.e. green roof, permeable pavements and bioretention cells, on a highly urbanized watershed in Istanbul, Turkey. The EPA-SWMM was used as a hydrologic-hydraulic model and the model calibration was performed by the well-known Parameter ESTimation (PEST) tool. The rainfall-runoff events occurred between 2012 and 2020. A sensitivity analysis on the parameter selection was applied to reduce the computational cost. The Nash-Sutcliffe efficiency coefficient (NSE) was used as the objective function and it was calculated as 0.809 in the model calibration. The simulations were conducted for six different return periods of a storm event, i.e. 2, 5, 10, 25, 50 and 100 years, in which the synthetic storm event hyetographs were produced by means of the alternating block method. The results revealed that the combination of green roof and permeable pavements have the major impact on both the peak flood reduction and runoff volume reduction compared to the single LIDs. The maximum runoff reduction percentage was obtained as 56.02% for a 10 years return period of a storm event in the combination scenario.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"baakn-ekmekciolu-zger-droughtpredictionusinghybridsoftcomputingmethodsforsemiaridregion-2021\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.1007/s40808-020-01010-6\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'baakn-ekmekciolu-zger-droughtpredictionusinghybridsoftcomputingmethodsforsemiaridregion-2021', 'https://doi.org/10.1007/s40808-020-01010-6', event);\">\n    Drought prediction using hybrid soft-computing methods for semi-arid region.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Başakın,  E., E.; Ekmekcioğlu,  Ö.;  and Özger,  M.\n</span>\n\n  \n\n</span>\n\n  <i>Modeling Earth Systems and Environment</i>, 7(4): 2363-2371.  2021.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.1007/s40808-020-01010-6\"\n     onclick=\"log_download('baakn-ekmekciolu-zger-droughtpredictionusinghybridsoftcomputingmethodsforsemiaridregion-2021', 'https://doi.org/10.1007/s40808-020-01010-6', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Drought prediction using hybrid soft-computing methods for semi-arid region [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1007/s40808-020-01010-6\"\n     onclick=\"log_download('baakn-ekmekciolu-zger-droughtpredictionusinghybridsoftcomputingmethodsforsemiaridregion-2021', 'http://doi.org/10.1007/s40808-020-01010-6', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/baakn-ekmekciolu-zger-droughtpredictionusinghybridsoftcomputingmethodsforsemiaridregion-2021\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('baakn-ekmekciolu-zger-droughtpredictionusinghybridsoftcomputingmethodsforsemiaridregion-2021')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Drought prediction using hybrid soft-computing methods for semi-arid region},\n type = {article},\n year = {2021},\n keywords = {Drought,EMD,Fuzzy logic,Prediction,Self-calibrated PDSI},\n pages = {2363-2371},\n volume = {7},\n websites = {https://doi.org/10.1007/s40808-020-01010-6},\n publisher = {Springer International Publishing},\n id = {047f71a7-b975-365a-b357-c0407fef5167},\n created = {2023-01-21T07:47:37.294Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2023-04-02T02:50:04.630Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n folder_uuids = {ae9cd4e8-5485-47d2-b554-9cfaef8dd381},\n private_publication = {false},\n abstract = {Drought is one of the most significant natural disaster and prediction of drought is a key aspect in effective management of water resources and reducing the effect of a drought with preliminary studies plays significant role. In this study, we predicted one of the meteorological drought indices, the self-calibrated Palmer Drought Severity Index (sc-PDSI), values for Adana, Turkey. First, we used adaptive neuro fuzzy inference system (ANFIS) as a standalone technique to predict sc-PDSI. Second, we used empirical mode decomposition (EMD) as a pre-processing technique to decompose the sc-PDSI time series into the sub-series and applied ANFIS to each sub-series. Following the prediction, results are summed each other and final prediction of the hybrid EMD-ANFIS method is obtained. Within the scope of the study, 1, 3and 6-months lead time sc-PDSI values are predicted. We utilized the mean square error (MSE) and Nash–Sutcliffe efficiency coefficient (NSE) as performance indicators in order to perform statistical evaluation. For ANFIS, we obtained NSE = 0.52 and NSE = 0.17 for 3-month and 6-month lead times, respectively. Also, NSE values are obtained as 0.81 and 0.77 for the hybrid model in 3-month and 6-month lead time predictions, respectively. The results revealed that the hybrid EMD-ANFIS model outperforms the standalone ANFIS model. Also, the predicted and actual sc-PDSI series investigated according to the statistical distributions. At last, error histograms of both predicted and actual series are compared according to the Kolmogorov–Smirnov test and the p values are calculated. The results illustrated the predictions are statistically significant.},\n bibtype = {article},\n author = {Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer and Özger, Mehmet},\n doi = {10.1007/s40808-020-01010-6},\n journal = {Modeling Earth Systems and Environment},\n number = {4}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Drought is one of the most significant natural disaster and prediction of drought is a key aspect in effective management of water resources and reducing the effect of a drought with preliminary studies plays significant role. In this study, we predicted one of the meteorological drought indices, the self-calibrated Palmer Drought Severity Index (sc-PDSI), values for Adana, Turkey. First, we used adaptive neuro fuzzy inference system (ANFIS) as a standalone technique to predict sc-PDSI. Second, we used empirical mode decomposition (EMD) as a pre-processing technique to decompose the sc-PDSI time series into the sub-series and applied ANFIS to each sub-series. Following the prediction, results are summed each other and final prediction of the hybrid EMD-ANFIS method is obtained. Within the scope of the study, 1, 3and 6-months lead time sc-PDSI values are predicted. We utilized the mean square error (MSE) and Nash–Sutcliffe efficiency coefficient (NSE) as performance indicators in order to perform statistical evaluation. For ANFIS, we obtained NSE = 0.52 and NSE = 0.17 for 3-month and 6-month lead times, respectively. Also, NSE values are obtained as 0.81 and 0.77 for the hybrid model in 3-month and 6-month lead time predictions, respectively. The results revealed that the hybrid EMD-ANFIS model outperforms the standalone ANFIS model. Also, the predicted and actual sc-PDSI series investigated according to the statistical distributions. At last, error histograms of both predicted and actual series are compared according to the Kolmogorov–Smirnov test and the p values are calculated. The results illustrated the predictions are statistically significant.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2020\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2020')\"\n      onkeypress=\"toggleGroup('group_2020')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2020</span>\n      <span class=\"bibbase_group_count\">\n        \n        (8)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"baakn-ekmekciolu-mohammadi-lettertotheeditorcomparingartificialintelligencetechniquesforchlorophyllapredictioninuslakes-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://link.springer.com/10.1007/s11356-020-08666-8\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'baakn-ekmekciolu-mohammadi-lettertotheeditorcomparingartificialintelligencetechniquesforchlorophyllapredictioninuslakes-2020', 'https://link.springer.com/10.1007/s11356-020-08666-8', event);\">\n    Letter to the editor “comparing artificial intelligence techniques for chlorophyll-a prediction in US lakes”.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Başakın,  E., E.; Ekmekcioğlu,  Ö.;  and Mohammadi,  B.\n</span>\n\n  \n\n</span>\n\n  <i>Environmental Science and Pollution Research</i>, 27(17): 22131-22134. 6 2020.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://link.springer.com/10.1007/s11356-020-08666-8\"\n     onclick=\"log_download('baakn-ekmekciolu-mohammadi-lettertotheeditorcomparingartificialintelligencetechniquesforchlorophyllapredictioninuslakes-2020', 'https://link.springer.com/10.1007/s11356-020-08666-8', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Letter to the editor “comparing artificial intelligence techniques for chlorophyll-a prediction in US lakes” [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1007/s11356-020-08666-8\"\n     onclick=\"log_download('baakn-ekmekciolu-mohammadi-lettertotheeditorcomparingartificialintelligencetechniquesforchlorophyllapredictioninuslakes-2020', 'http://doi.org/10.1007/s11356-020-08666-8', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/baakn-ekmekciolu-mohammadi-lettertotheeditorcomparingartificialintelligencetechniquesforchlorophyllapredictioninuslakes-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('baakn-ekmekciolu-mohammadi-lettertotheeditorcomparingartificialintelligencetechniquesforchlorophyllapredictioninuslakes-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Letter to the editor “comparing artificial intelligence techniques for chlorophyll-a prediction in US lakes”},\n type = {article},\n year = {2020},\n keywords = {Drought,EMD,Fuzzy logic,Prediction,Self-calibrated PDSI},\n pages = {22131-22134},\n volume = {27},\n websites = {https://link.springer.com/10.1007/s11356-020-08666-8},\n month = {6},\n day = {12},\n id = {4fe4a404-54b7-3e0d-847a-598fa0e8c05b},\n created = {2020-10-24T23:59:00.000Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2023-04-02T02:50:04.634Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n folder_uuids = {5b8365e6-031b-4dee-80a0-95c1b735e3a9},\n private_publication = {false},\n abstract = {© 2020, Springer Nature Switzerland AG. Drought is one of the most significant natural disaster and prediction of drought is a key aspect in effective management of water resources and reducing the effect of a drought with preliminary studies plays significant role. In this study, we predicted one of the meteorological drought indices, the self-calibrated Palmer Drought Severity Index (sc-PDSI), values for Adana, Turkey. First, we used adaptive neuro fuzzy inference system (ANFIS) as a standalone technique to predict sc-PDSI. Second, we used empirical mode decomposition (EMD) as a pre-processing technique to decompose the sc-PDSI time series into the sub-series and applied ANFIS to each sub-series. Following the prediction, results are summed each other and final prediction of the hybrid EMD-ANFIS method is obtained. Within the scope of the study, 1, 3and 6-months lead time sc-PDSI values are predicted. We utilized the mean square error (MSE) and Nash–Sutcliffe efficiency coefficient (NSE) as performance indicators in order to perform statistical evaluation. For ANFIS, we obtained NSE = 0.52 and NSE = 0.17 for 3-month and 6-month lead times, respectively. Also, NSE values are obtained as 0.81 and 0.77 for the hybrid model in 3-month and 6-month lead time predictions, respectively. The results revealed that the hybrid EMD-ANFIS model outperforms the standalone ANFIS model. Also, the predicted and actual sc-PDSI series investigated according to the statistical distributions. At last, error histograms of both predicted and actual series are compared according to the Kolmogorov–Smirnov test and the p values are calculated. The results illustrated the predictions are statistically significant.},\n bibtype = {article},\n author = {Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer and Mohammadi, Babak},\n doi = {10.1007/s11356-020-08666-8},\n journal = {Environmental Science and Pollution Research},\n number = {17}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  © 2020, Springer Nature Switzerland AG. Drought is one of the most significant natural disaster and prediction of drought is a key aspect in effective management of water resources and reducing the effect of a drought with preliminary studies plays significant role. In this study, we predicted one of the meteorological drought indices, the self-calibrated Palmer Drought Severity Index (sc-PDSI), values for Adana, Turkey. First, we used adaptive neuro fuzzy inference system (ANFIS) as a standalone technique to predict sc-PDSI. Second, we used empirical mode decomposition (EMD) as a pre-processing technique to decompose the sc-PDSI time series into the sub-series and applied ANFIS to each sub-series. Following the prediction, results are summed each other and final prediction of the hybrid EMD-ANFIS method is obtained. Within the scope of the study, 1, 3and 6-months lead time sc-PDSI values are predicted. We utilized the mean square error (MSE) and Nash–Sutcliffe efficiency coefficient (NSE) as performance indicators in order to perform statistical evaluation. For ANFIS, we obtained NSE = 0.52 and NSE = 0.17 for 3-month and 6-month lead times, respectively. Also, NSE values are obtained as 0.81 and 0.77 for the hybrid model in 3-month and 6-month lead time predictions, respectively. The results revealed that the hybrid EMD-ANFIS model outperforms the standalone ANFIS model. Also, the predicted and actual sc-PDSI series investigated according to the statistical distributions. At last, error histograms of both predicted and actual series are compared according to the Kolmogorov–Smirnov test and the p values are calculated. The results illustrated the predictions are statistically significant.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ekmekciolu-koc-zger-districtbasedfloodriskassessmentinistanbulusingfuzzyanalyticalhierarchyprocess-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  District based flood risk assessment in Istanbul using fuzzy analytical hierarchy process.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Ekmekcioğlu,  Ö.; Koc,  K.;  and Özger,  M.\n</span>\n\n  \n\n</span>\n\n  <i>Stochastic Environmental Research and Risk Assessment</i>.  2020.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.1007/s00477-020-01924-8\"\n     onclick=\"log_download('ekmekciolu-koc-zger-districtbasedfloodriskassessmentinistanbulusingfuzzyanalyticalhierarchyprocess-2020', 'http://doi.org/10.1007/s00477-020-01924-8', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ekmekciolu-koc-zger-districtbasedfloodriskassessmentinistanbulusingfuzzyanalyticalhierarchyprocess-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ekmekciolu-koc-zger-districtbasedfloodriskassessmentinistanbulusingfuzzyanalyticalhierarchyprocess-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {District based flood risk assessment in Istanbul using fuzzy analytical hierarchy process},\n type = {article},\n year = {2020},\n keywords = {District prioritization,Flood risk mapping,Fuzzy analytical hierarchy process,Istanbul,Sensitivity analysis,Vulnerability and hazard},\n id = {9924798a-add7-3762-9b00-cf8713d67777},\n created = {2020-11-05T23:59:00.000Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2024-12-11T04:53:55.229Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {© 2020, Springer-Verlag GmbH Germany, part of Springer Nature. Floods, among the most frequent and severe hazards in the world, threaten the sustainability of the built environment by causing immense damage to infrastructures, buildings, economies, social activities and beyond all, cause loss of lives. Istanbul is the most densely populated industrial, commercial and cultural center of Turkey. Besides, the population of Istanbul has increased over the last decade since the city attracts immigrants from all over Turkey, along with other countries. Therefore, it is vital to prioritize the districts of Istanbul by determining flood risk mitigation strategies since flood risk management is carried out at district level units in local municipalities in Istanbul. In this study, a new hierarchical procedure that consists of thirteen flood vulnerability and hazard criteria is proposed for the generation of Istanbul’s district-based flood risk map. To obtain the criteria weights the fuzzy analytical hierarchy process (AHP) was adopted. The sensitivity analysis conducted in this study reveals the stability and robustness of the proposed fuzzy AHP model. Among all the criteria, land use and the return period of a storm event were found as the most significant criteria for vulnerability and hazard clusters, respectively. Criteria weights calculated through the fuzzy AHP method were integrated with the data taken from various institutions with respect to each district to calculate risk scores of the districts. Consequently, district risk scores were used to generate a flood risk map of Istanbul. The findings show that high-risk districts are mainly at the center and highly populated areas of the city. Moreover, the accuracy of the proposed approach was validated through observations of the significant flood events experienced in the last two decades. Thus, the fuzzy AHP method can be considered as advantageous to make a quick and regional flood risk assessment. In addition, the proposed approach is useful to mitigate flood risk along with allocating a fair budget to the local municipalities for flood risk mitigation measures. The findings of this research could also provide useful procedures for professionals of the water resources and local authorities.},\n bibtype = {article},\n author = {Ekmekcioğlu, Ö. and Koc, K. and Özger, M.},\n doi = {10.1007/s00477-020-01924-8},\n journal = {Stochastic Environmental Research and Risk Assessment}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  © 2020, Springer-Verlag GmbH Germany, part of Springer Nature. Floods, among the most frequent and severe hazards in the world, threaten the sustainability of the built environment by causing immense damage to infrastructures, buildings, economies, social activities and beyond all, cause loss of lives. Istanbul is the most densely populated industrial, commercial and cultural center of Turkey. Besides, the population of Istanbul has increased over the last decade since the city attracts immigrants from all over Turkey, along with other countries. Therefore, it is vital to prioritize the districts of Istanbul by determining flood risk mitigation strategies since flood risk management is carried out at district level units in local municipalities in Istanbul. In this study, a new hierarchical procedure that consists of thirteen flood vulnerability and hazard criteria is proposed for the generation of Istanbul’s district-based flood risk map. To obtain the criteria weights the fuzzy analytical hierarchy process (AHP) was adopted. The sensitivity analysis conducted in this study reveals the stability and robustness of the proposed fuzzy AHP model. Among all the criteria, land use and the return period of a storm event were found as the most significant criteria for vulnerability and hazard clusters, respectively. Criteria weights calculated through the fuzzy AHP method were integrated with the data taken from various institutions with respect to each district to calculate risk scores of the districts. Consequently, district risk scores were used to generate a flood risk map of Istanbul. The findings show that high-risk districts are mainly at the center and highly populated areas of the city. Moreover, the accuracy of the proposed approach was validated through observations of the significant flood events experienced in the last two decades. Thus, the fuzzy AHP method can be considered as advantageous to make a quick and regional flood risk assessment. In addition, the proposed approach is useful to mitigate flood risk along with allocating a fair budget to the local municipalities for flood risk mitigation measures. The findings of this research could also provide useful procedures for professionals of the water resources and local authorities.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ekmekcolu-baakin-zger-dischargecoefficientequationtocalculatetheleakagefrompipenetworks-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Discharge coefficient equation to calculate the leakage from pipe networks.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  EKMEKCİOĞLU,  Ö.; BAŞAKIN,  E., E.;  and ÖZGER,  M.\n</span>\n\n  \n\n</span>\n\n  <i>Journal of the Institute of Science and Technology</i>, 10(3): 1737-1746.  2020.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n  <a href=\"http://doi.org/10.21597/jist.675015\"\n     onclick=\"log_download('ekmekcolu-baakin-zger-dischargecoefficientequationtocalculatetheleakagefrompipenetworks-2020', 'http://doi.org/10.21597/jist.675015', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ekmekcolu-baakin-zger-dischargecoefficientequationtocalculatetheleakagefrompipenetworks-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ekmekcolu-baakin-zger-dischargecoefficientequationtocalculatetheleakagefrompipenetworks-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Discharge coefficient equation to calculate the leakage from pipe networks},\n type = {article},\n year = {2020},\n keywords = {0000-0001-9812-9918,0000-0002-7144- 2338,0000-0002-9045-5302,civil engineering department,discharge coefficient,eyyup ensar başakin,hydraulics division,istanbul,leakage,maslak 34469,mehmet özger,orcid id,orifice,technical university,turkey,water distribution network,ömer ekmekci̇oğlu},\n pages = {1737-1746},\n volume = {10},\n id = {7c09d721-9bee-3dc1-a826-131f64bea165},\n created = {2020-12-14T11:54:59.198Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2022-03-17T14:58:11.090Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n folder_uuids = {5b8365e6-031b-4dee-80a0-95c1b735e3a9},\n private_publication = {false},\n bibtype = {article},\n author = {EKMEKCİOĞLU, Ömer and BAŞAKIN, Eyyup Ensar and ÖZGER, Mehmet},\n doi = {10.21597/jist.675015},\n journal = {Journal of the Institute of Science and Technology},\n number = {3}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"zger-baakn-ekmekciolu-hacsleyman-comparisonofwaveletandempiricalmodedecompositionhybridmodelsindroughtprediction-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/S0168169920312722\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'zger-baakn-ekmekciolu-hacsleyman-comparisonofwaveletandempiricalmodedecompositionhybridmodelsindroughtprediction-2020', 'https://linkinghub.elsevier.com/retrieve/pii/S0168169920312722', event);\">\n    Comparison of wavelet and empirical mode decomposition hybrid models in drought prediction.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Özger,  M.; Başakın,  E., E.; Ekmekcioğlu,  Ö.;  and Hacısüleyman,  V.\n</span>\n\n  \n\n</span>\n\n  <i>Computers and Electronics in Agriculture</i>, 179: 105851. 12 2020.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/S0168169920312722\"\n     onclick=\"log_download('zger-baakn-ekmekciolu-hacsleyman-comparisonofwaveletandempiricalmodedecompositionhybridmodelsindroughtprediction-2020', 'https://linkinghub.elsevier.com/retrieve/pii/S0168169920312722', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Comparison of wavelet and empirical mode decomposition hybrid models in drought prediction [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.compag.2020.105851\"\n     onclick=\"log_download('zger-baakn-ekmekciolu-hacsleyman-comparisonofwaveletandempiricalmodedecompositionhybridmodelsindroughtprediction-2020', 'http://doi.org/10.1016/j.compag.2020.105851', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/zger-baakn-ekmekciolu-hacsleyman-comparisonofwaveletandempiricalmodedecompositionhybridmodelsindroughtprediction-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('zger-baakn-ekmekciolu-hacsleyman-comparisonofwaveletandempiricalmodedecompositionhybridmodelsindroughtprediction-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Comparison of wavelet and empirical mode decomposition hybrid models in drought prediction},\n type = {article},\n year = {2020},\n pages = {105851},\n volume = {179},\n websites = {https://linkinghub.elsevier.com/retrieve/pii/S0168169920312722},\n month = {12},\n id = {c2d22f41-604a-3145-a04d-b6ddc44b00aa},\n created = {2021-05-08T20:59:29.945Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2022-03-17T14:23:08.501Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n folder_uuids = {5b8365e6-031b-4dee-80a0-95c1b735e3a9,3161412e-2f0c-44e8-abb8-2ff0efd3823e},\n private_publication = {false},\n bibtype = {article},\n author = {Özger, Mehmet and Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer and Hacısüleyman, Volkan},\n doi = {10.1016/j.compag.2020.105851},\n journal = {Computers and Electronics in Agriculture}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"baakn-ekmekciolu-commentoncomparisonoftheabilityofarimawnnandsvmmodelsfordroughtforecastinginthesanjiangplainchinabyyuhuzhanghuirongyanghengjiancuiandqiuhuacheninnaturalresourcesresearchdoi101007s11053019095126-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://link.springer.com/10.1007/s11053-020-09638-y\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'baakn-ekmekciolu-commentoncomparisonoftheabilityofarimawnnandsvmmodelsfordroughtforecastinginthesanjiangplainchinabyyuhuzhanghuirongyanghengjiancuiandqiuhuacheninnaturalresourcesresearchdoi101007s11053019095126-2020', 'http://link.springer.com/10.1007/s11053-020-09638-y', event);\">\n    Comment on “Comparison of the Ability of ARIMA, WNN and SVM Models for Drought Forecasting in the Sanjiang Plain, China” by Yuhu Zhang, Huirong Yang, Hengjian Cui, and Qiuhua Chen, in Natural Resources Research DOI: 10.1007/s11053-019-09512-6.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Başakın,  E., E.;  and Ekmekcioğlu,  Ö.\n</span>\n\n  \n\n</span>\n\n  <i>Natural Resources Research</i>, 29(2): 1465-1467. 4 2020.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://link.springer.com/10.1007/s11053-020-09638-y\"\n     onclick=\"log_download('baakn-ekmekciolu-commentoncomparisonoftheabilityofarimawnnandsvmmodelsfordroughtforecastinginthesanjiangplainchinabyyuhuzhanghuirongyanghengjiancuiandqiuhuacheninnaturalresourcesresearchdoi101007s11053019095126-2020', 'http://link.springer.com/10.1007/s11053-020-09638-y', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Comment on “Comparison of the Ability of ARIMA, WNN and SVM Models for Drought Forecasting in the Sanjiang Plain, China” by Yuhu Zhang, Huirong Yang, Hengjian Cui, and Qiuhua Chen, in Natural Resources Research DOI: 10.1007/s11053-019-09512-6 [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1007/s11053-020-09638-y\"\n     onclick=\"log_download('baakn-ekmekciolu-commentoncomparisonoftheabilityofarimawnnandsvmmodelsfordroughtforecastinginthesanjiangplainchinabyyuhuzhanghuirongyanghengjiancuiandqiuhuacheninnaturalresourcesresearchdoi101007s11053019095126-2020', 'http://doi.org/10.1007/s11053-020-09638-y', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/baakn-ekmekciolu-commentoncomparisonoftheabilityofarimawnnandsvmmodelsfordroughtforecastinginthesanjiangplainchinabyyuhuzhanghuirongyanghengjiancuiandqiuhuacheninnaturalresourcesresearchdoi101007s11053019095126-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('baakn-ekmekciolu-commentoncomparisonoftheabilityofarimawnnandsvmmodelsfordroughtforecastinginthesanjiangplainchinabyyuhuzhanghuirongyanghengjiancuiandqiuhuacheninnaturalresourcesresearchdoi101007s11053019095126-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Comment on “Comparison of the Ability of ARIMA, WNN and SVM Models for Drought Forecasting in the Sanjiang Plain, China” by Yuhu Zhang, Huirong Yang, Hengjian Cui, and Qiuhua Chen, in Natural Resources Research DOI: 10.1007/s11053-019-09512-6},\n type = {article},\n year = {2020},\n pages = {1465-1467},\n volume = {29},\n websites = {http://link.springer.com/10.1007/s11053-020-09638-y},\n month = {4},\n day = {18},\n id = {1f9f8fb8-03fd-3b8a-b09e-6c3904e919d3},\n created = {2021-09-07T15:56:17.252Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2022-03-17T14:23:08.290Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n folder_uuids = {5b8365e6-031b-4dee-80a0-95c1b735e3a9},\n private_publication = {false},\n bibtype = {article},\n author = {Başakın, Eyyup Ensar and Ekmekcioğlu, Ömer},\n doi = {10.1007/s11053-020-09638-y},\n journal = {Natural Resources Research},\n number = {2}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"baakin-ekmekcolu-zger-elk-dalgackbulankzamanserisiyntemiiletrkiyebudayverimitahmini-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://dergipark.org.tr/tr/doi/10.19159/tutad.685342\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'baakin-ekmekcolu-zger-elk-dalgackbulankzamanserisiyntemiiletrkiyebudayverimitahmini-2020', 'https://dergipark.org.tr/tr/doi/10.19159/tutad.685342', event);\">\n    Dalgacık Bulanık Zaman Serisi Yöntemi ile Türkiye Buğday Verimi Tahmini.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  BAŞAKIN,  E., E.; EKMEKCİOĞLU,  Ö.; ÖZGER,  M.;  and ÇELİK,  A.\n</span>\n\n  \n\n</span>\n\n  <i>Türkiye Tarımsal Araştırmalar Dergisi</i>. 10 2020.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://dergipark.org.tr/tr/doi/10.19159/tutad.685342\"\n     onclick=\"log_download('baakin-ekmekcolu-zger-elk-dalgackbulankzamanserisiyntemiiletrkiyebudayverimitahmini-2020', 'https://dergipark.org.tr/tr/doi/10.19159/tutad.685342', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Dalgacık Bulanık Zaman Serisi Yöntemi ile Türkiye Buğday Verimi Tahmini [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.19159/tutad.685342\"\n     onclick=\"log_download('baakin-ekmekcolu-zger-elk-dalgackbulankzamanserisiyntemiiletrkiyebudayverimitahmini-2020', 'http://doi.org/10.19159/tutad.685342', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/baakin-ekmekcolu-zger-elk-dalgackbulankzamanserisiyntemiiletrkiyebudayverimitahmini-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('baakin-ekmekcolu-zger-elk-dalgackbulankzamanserisiyntemiiletrkiyebudayverimitahmini-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Dalgacık Bulanık Zaman Serisi Yöntemi ile Türkiye Buğday Verimi Tahmini},\n type = {article},\n year = {2020},\n websites = {https://dergipark.org.tr/tr/doi/10.19159/tutad.685342},\n month = {10},\n day = {9},\n id = {8432f73c-7417-3690-bd9a-4ccc26b8130b},\n created = {2021-09-07T15:56:17.291Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2022-03-17T14:23:08.192Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n folder_uuids = {5b8365e6-031b-4dee-80a0-95c1b735e3a9},\n private_publication = {false},\n bibtype = {article},\n author = {BAŞAKIN, Eyyup Ensar and EKMEKCİOĞLU, Ömer and ÖZGER, Mehmet and ÇELİK, Anıl},\n doi = {10.19159/tutad.685342},\n journal = {Türkiye Tarımsal Araştırmalar Dergisi}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"ekmekcolu-baakin-zger-sudatmebekelerindeszmadebisiparametrelerininsaysalmodelilencelenmesi-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://dergipark.org.tr/tr/doi/10.29130/dubited.779467\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'ekmekcolu-baakin-zger-sudatmebekelerindeszmadebisiparametrelerininsaysalmodelilencelenmesi-2020', 'https://dergipark.org.tr/tr/doi/10.29130/dubited.779467', event);\">\n    Su Dağıtım Şebekelerinde Sızma Debisi Parametrelerinin Sayısal Model ile İncelenmesi.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  EKMEKCİOĞLU,  Ö.; BAŞAKIN,  E., E.;  and ÖZGER,  M.\n</span>\n\n  \n\n</span>\n\n  <i>Düzce Üniversitesi Bilim ve Teknoloji Dergisi</i>, 9: 265-277. 12 2020.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://dergipark.org.tr/tr/doi/10.29130/dubited.779467\"\n     onclick=\"log_download('ekmekcolu-baakin-zger-sudatmebekelerindeszmadebisiparametrelerininsaysalmodelilencelenmesi-2020', 'https://dergipark.org.tr/tr/doi/10.29130/dubited.779467', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Su Dağıtım Şebekelerinde Sızma Debisi Parametrelerinin Sayısal Model ile İncelenmesi [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.29130/dubited.779467\"\n     onclick=\"log_download('ekmekcolu-baakin-zger-sudatmebekelerindeszmadebisiparametrelerininsaysalmodelilencelenmesi-2020', 'http://doi.org/10.29130/dubited.779467', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/ekmekcolu-baakin-zger-sudatmebekelerindeszmadebisiparametrelerininsaysalmodelilencelenmesi-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('ekmekcolu-baakin-zger-sudatmebekelerindeszmadebisiparametrelerininsaysalmodelilencelenmesi-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Su Dağıtım Şebekelerinde Sızma Debisi Parametrelerinin Sayısal Model ile İncelenmesi},\n type = {article},\n year = {2020},\n pages = {265-277},\n volume = {9},\n websites = {https://dergipark.org.tr/tr/doi/10.29130/dubited.779467},\n month = {12},\n day = {14},\n id = {7c562f13-b58b-36be-874c-e154eb20604a},\n created = {2021-09-07T15:56:17.297Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2022-03-17T14:58:11.096Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n folder_uuids = {5b8365e6-031b-4dee-80a0-95c1b735e3a9},\n private_publication = {false},\n bibtype = {article},\n author = {EKMEKCİOĞLU, Ömer and BAŞAKIN, Eyyup Ensar and ÖZGER, Mehmet},\n doi = {10.29130/dubited.779467},\n journal = {Düzce Üniversitesi Bilim ve Teknoloji Dergisi}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"baakin-ekmekcolu-zger-elk-dalgackbulankzamanserisiyntemiiletrkiyebudayverimitahmini-2020\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://dergipark.org.tr/tr/doi/10.19159/tutad.685342\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'baakin-ekmekcolu-zger-elk-dalgackbulankzamanserisiyntemiiletrkiyebudayverimitahmini-2020', 'https://dergipark.org.tr/tr/doi/10.19159/tutad.685342', event);\">\n    Dalgacık Bulanık Zaman Serisi Yöntemi ile Türkiye Buğday Verimi Tahmini.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  BAŞAKIN,  E., E.; EKMEKCİOĞLU,  Ö.; ÖZGER,  M.;  and ÇELİK,  A.\n</span>\n\n  \n\n</span>\n\n  <i>Türkiye Tarımsal Araştırmalar Dergisi</i>. 10 2020.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://dergipark.org.tr/tr/doi/10.19159/tutad.685342\"\n     onclick=\"log_download('baakin-ekmekcolu-zger-elk-dalgackbulankzamanserisiyntemiiletrkiyebudayverimitahmini-2020', 'https://dergipark.org.tr/tr/doi/10.19159/tutad.685342', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Dalgacık Bulanık Zaman Serisi Yöntemi ile Türkiye Buğday Verimi Tahmini [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.19159/tutad.685342\"\n     onclick=\"log_download('baakin-ekmekcolu-zger-elk-dalgackbulankzamanserisiyntemiiletrkiyebudayverimitahmini-2020', 'http://doi.org/10.19159/tutad.685342', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/baakin-ekmekcolu-zger-elk-dalgackbulankzamanserisiyntemiiletrkiyebudayverimitahmini-2020\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('baakin-ekmekcolu-zger-elk-dalgackbulankzamanserisiyntemiiletrkiyebudayverimitahmini-2020')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Dalgacık Bulanık Zaman Serisi Yöntemi ile Türkiye Buğday Verimi Tahmini},\n type = {article},\n year = {2020},\n websites = {https://dergipark.org.tr/tr/doi/10.19159/tutad.685342},\n month = {10},\n day = {9},\n id = {ff9dfe52-c6cf-38ca-8e84-57a7cf31ca63},\n created = {2022-03-17T14:58:09.593Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2022-03-17T14:58:09.593Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n bibtype = {article},\n author = {BAŞAKIN, Eyyup Ensar and EKMEKCİOĞLU, Ömer and ÖZGER, Mehmet and ÇELİK, Anıl},\n doi = {10.19159/tutad.685342},\n journal = {Türkiye Tarımsal Araştırmalar Dergisi}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2019\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2019')\"\n      onkeypress=\"toggleGroup('group_2019')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2019</span>\n      <span class=\"bibbase_group_count\">\n        \n        (2)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"demirel-zen-orta-toker-demir-ekmekciolu-tayi-eruar-etal-additionalvalueofusingsatellitebasedsoilmoistureandtwosourcesofgroundwaterdataforhydrologicalmodelcalibration-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://doi.org/10.20944/preprints201909.0057.v1,https://www.mdpi.com/2073-4441/11/10/2083\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'demirel-zen-orta-toker-demir-ekmekciolu-tayi-eruar-etal-additionalvalueofusingsatellitebasedsoilmoistureandtwosourcesofgroundwaterdataforhydrologicalmodelcalibration-2019', 'https://doi.org/10.20944/preprints201909.0057.v1,https://www.mdpi.com/2073-4441/11/10/2083', event);\">\n    Additional Value of Using Satellite-Based Soil Moisture and Two Sources of Groundwater Data for Hydrological Model Calibration.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Demirel; Özen; Orta; Toker; Demir; Ekmekcioğlu; Tayşi; Eruçar; Sağ; Sarı; Tuncer; Hancı; Özcan; Erdem; Koşucu; Başakın; Ahmed; Anwar; Avcuoğlu; Vanlı; Stisen;  and Booij\n</span>\n\n  \n\n</span>\n\n  <i>Water</i>, 11(10): 2083. 10 2019.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://doi.org/10.20944/preprints201909.0057.v1,https://www.mdpi.com/2073-4441/11/10/2083\"\n     onclick=\"log_download('demirel-zen-orta-toker-demir-ekmekciolu-tayi-eruar-etal-additionalvalueofusingsatellitebasedsoilmoistureandtwosourcesofgroundwaterdataforhydrologicalmodelcalibration-2019', 'https://doi.org/10.20944/preprints201909.0057.v1,https://www.mdpi.com/2073-4441/11/10/2083', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Additional Value of Using Satellite-Based Soil Moisture and Two Sources of Groundwater Data for Hydrological Model Calibration [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.3390/w11102083\"\n     onclick=\"log_download('demirel-zen-orta-toker-demir-ekmekciolu-tayi-eruar-etal-additionalvalueofusingsatellitebasedsoilmoistureandtwosourcesofgroundwaterdataforhydrologicalmodelcalibration-2019', 'http://doi.org/10.3390/w11102083', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/demirel-zen-orta-toker-demir-ekmekciolu-tayi-eruar-etal-additionalvalueofusingsatellitebasedsoilmoistureandtwosourcesofgroundwaterdataforhydrologicalmodelcalibration-2019\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n  &nbsp;\n  <span class=\"bibbase_stats_paper\" style=\"color: #777;\">\n    <span>5 downloads</span>\n  </span>\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('demirel-zen-orta-toker-demir-ekmekciolu-tayi-eruar-etal-additionalvalueofusingsatellitebasedsoilmoistureandtwosourcesofgroundwaterdataforhydrologicalmodelcalibration-2019')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Additional Value of Using Satellite-Based Soil Moisture and Two Sources of Groundwater Data for Hydrological Model Calibration},\n type = {article},\n year = {2019},\n pages = {2083},\n volume = {11},\n websites = {https://doi.org/10.20944/preprints201909.0057.v1,https://www.mdpi.com/2073-4441/11/10/2083},\n month = {10},\n day = {6},\n id = {1f1437b5-a600-3dac-83af-39b0bff51562},\n created = {2020-01-21T08:33:46.339Z},\n file_attached = {true},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2023-10-07T10:42:56.512Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {Although the complexity of physically-based models continues to increase, they still need to be calibrated. In recent years, there has been an increasing interest in using new satellite technologies and products with high resolution in model evaluations and decision-making. The aim of this study is to investigate the value of different remote sensing products and groundwater level measurements in the temporal calibration of a well-known hydrologic model i.e., Hydrologiska Bryåns Vattenbalansavdelning (HBV). This has rarely been done for conceptual models, as satellite data are often used in the spatial calibration of the distributed models. Three different soil moisture products from the European Space Agency Climate Change Initiative Soil Measure (ESA CCI SM v04.4), The Advanced Microwave Scanning Radiometer on the Earth Observing System (EOS) Aqua satellite (AMSR-E), soil moisture active passive (SMAP), and total water storage anomalies from Gravity Recovery and Climate Experiment (GRACE) are collected and spatially averaged over the Moselle River Basin in Germany and France. Different combinations of objective functions and search algorithms, all targeting a good fit between observed and simulated streamflow, groundwater and soil moisture, are used to analyze the contribution of each individual source of information.},\n bibtype = {article},\n author = {Demirel, undefined and Özen, undefined and Orta, undefined and Toker, undefined and Demir, undefined and Ekmekcioğlu, undefined and Tayşi, undefined and Eruçar, undefined and Sağ, undefined and Sarı, undefined and Tuncer, undefined and Hancı, undefined and Özcan, undefined and Erdem, undefined and Koşucu, undefined and Başakın, undefined and Ahmed, undefined and Anwar, undefined and Avcuoğlu, undefined and Vanlı, undefined and Stisen, undefined and Booij, undefined},\n doi = {10.3390/w11102083},\n journal = {Water},\n number = {10}\n}</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Although the complexity of physically-based models continues to increase, they still need to be calibrated. In recent years, there has been an increasing interest in using new satellite technologies and products with high resolution in model evaluations and decision-making. The aim of this study is to investigate the value of different remote sensing products and groundwater level measurements in the temporal calibration of a well-known hydrologic model i.e., Hydrologiska Bryåns Vattenbalansavdelning (HBV). This has rarely been done for conceptual models, as satellite data are often used in the spatial calibration of the distributed models. Three different soil moisture products from the European Space Agency Climate Change Initiative Soil Measure (ESA CCI SM v04.4), The Advanced Microwave Scanning Radiometer on the Earth Observing System (EOS) Aqua satellite (AMSR-E), soil moisture active passive (SMAP), and total water storage anomalies from Gravity Recovery and Climate Experiment (GRACE) are collected and spatially averaged over the Moselle River Basin in Germany and France. Different combinations of objective functions and search algorithms, all targeting a good fit between observed and simulated streamflow, groundwater and soil moisture, are used to analyze the contribution of each individual source of information.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"baakn-ekmekciolu-ozger-droughtanalysiswithmachinelearningmethods-2019\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://pajes.pau.edu.tr/eng/jvi.asp?pdir=pajes&amp;plng=eng&amp;un=PAJES-34392\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'baakn-ekmekciolu-ozger-droughtanalysiswithmachinelearningmethods-2019', 'http://pajes.pau.edu.tr/eng/jvi.asp?pdir=pajes&amp;plng=eng&amp;un=PAJES-34392', event);\">\n    Drought Analysis with Machine Learning Methods.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Başakın,  E., E.; Ekmekcioğlu,  Ö.;  and Ozger,  M.\n</span>\n\n  \n\n</span>\n\n  <i>Pamukkale University Journal of Engineering Sciences</i>, 25(8): 985-991.  2019.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://pajes.pau.edu.tr/eng/jvi.asp?pdir=pajes&amp;plng=eng&amp;un=PAJES-34392\"\n     onclick=\"log_download('baakn-ekmekciolu-ozger-droughtanalysiswithmachinelearningmethods-2019', 'http://pajes.pau.edu.tr/eng/jvi.asp?pdir=pajes&amp;plng=eng&amp;un=PAJES-34392', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Drought Analysis with Machine Learning Methods [link]\"\n       title=\"Website\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Website</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.5505/pajes.2019.34392\"\n     onclick=\"log_download('baakn-ekmekciolu-ozger-droughtanalysiswithmachinelearningmethods-2019', 'http://doi.org/10.5505/pajes.2019.34392', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/baakn-ekmekciolu-ozger-droughtanalysiswithmachinelearningmethods-2019\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('baakn-ekmekciolu-ozger-droughtanalysiswithmachinelearningmethods-2019')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{\n title = {Drought Analysis with Machine Learning Methods},\n type = {article},\n year = {2019},\n pages = {985-991},\n volume = {25},\n websites = {http://pajes.pau.edu.tr/eng/jvi.asp?pdir=pajes&amp;plng=eng&amp;un=PAJES-34392},\n id = {b1343492-8627-3617-9fe6-bbf3ef8e22dd},\n created = {2021-05-08T20:59:29.953Z},\n file_attached = {false},\n profile_id = {20c924ae-23db-3c14-82eb-b74f2f99687c},\n last_modified = {2022-03-17T14:23:08.169Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n folder_uuids = {5b8365e6-031b-4dee-80a0-95c1b735e3a9,3161412e-2f0c-44e8-abb8-2ff0efd3823e},\n private_publication = {false},\n bibtype = {article},\n author = {Başakın, Eyyup Ensar and Ekmekcioğlu, ÖMER and Ozger, Mehmet},\n doi = {10.5505/pajes.2019.34392},\n journal = {Pamukkale University Journal of Engineering Sciences},\n number = {8}\n}</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n\n\n\n  </div>\n\n\n  <!-- Modal -->\n\n  <!-- <iframe id=\"bibbase_network_frame\" -->\n  <!--         src=\"//bibbase.org/network/control\" -->\n  <!--         style=\"display: none;\"> -->\n  <!-- </iframe> -->\n\n</div>\n"}; document.write(bibbase_data.data);