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  2024 (1)
State-of-the-art of stress prediction from heart rate variability using artificial intelligence. Haque, Y.; Zawad, R. S.; Rony, C. S. A.; Al Banna, H.; Ghosh, T.; Kaiser, M S.; and Mahmud, M. Cognitive Computation, 16(2): 455–481. 2024.
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  2023 (8)
A hybrid deep learning model to predict the impact of COVID-19 on mental health from social media big data. Al Banna, M. H.; Ghosh, T.; Al Nahian, M. J.; Kaiser, M S.; Mahmud, M.; Taher, K. A.; Hossain, M. S.; and Andersson, K. IEEE Access, 11: 77009–77022. 2023.
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Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-rays. Paul, A.; Basu, A.; Mahmud, M.; Kaiser, M S.; and Sarkar, R. Neural Computing and Applications, 35(22): 16113–16127. 2023.
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Explainable AI-based Alzheimer’s prediction and management using multimodal data. Jahan, S.; Abu Taher, K.; Kaiser, M S.; Mahmud, M.; Rahman, M. S.; Hosen, A. S.; and Ra, I. Plos one, 18(11): e0294253. 2023.
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An attention-based hybrid architecture with explainability for depressive social media text detection in Bangla. Ghosh, T.; Al Banna, M. H.; Al Nahian, M. J.; Uddin, M. N.; Kaiser, M S.; and Mahmud, M. Expert Systems with Applications, 213: 119007. 2023.
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Detecting COVID-19 from lung computed tomography images: A swarm optimized artificial neural network approach. Punitha, S; Stephan, T.; Kannan, R.; Mahmud, M.; Kaiser, M S.; and Belhaouari, S. B. IEEE Access, 11: 12378–12393. 2023.
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AI-based epileptic seizure detection and prediction in internet of healthcare things: a systematic review. Jahan, S.; Nowsheen, F.; Antik, M. M.; Rahman, M. S.; Kaiser, M S.; Hosen, A. S.; and Ra, I. IEEE Access, 11: 30690–30725. 2023.
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Machine learning and internet of things in industry 4.0: A review. Rahman, M. S.; Ghosh, T.; Aurna, N. F.; Kaiser, M S.; Anannya, M.; and Hosen, A. S. Measurement: Sensors, 28: 100822. 2023.
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Exploring deep transfer learning ensemble for improved diagnosis and classification of alzheimer’s disease. Mahmud, T.; Barua, K.; Barua, A.; Das, S.; Basnin, N.; Hossain, M. S.; Andersson, K.; Kaiser, M S.; and Sharmen, N. In International Conference on Brain Informatics, pages 109–120, 2023. Springer Nature Switzerland Cham
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  2022 (4)
Toward machine learning-based psychological assessment of autism spectrum disorders in school and community. Ahmed, S.; Hossain, M. F.; Nur, S. B.; Shamim Kaiser, M; and Mahmud, M. In Proceedings of Trends in Electronics and Health Informatics: TEHI 2021, pages 139–149. Springer Nature Singapore Singapore, 2022.
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Prediction of energy generation target of hydropower plants using artificial neural networks. Kumar, K.; Saini, G.; Kumar, N.; Kaiser, M S.; Kannan, R.; and Shah, R. In Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies, pages 309–320. Elsevier, 2022.
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Towards explainable and privacy-preserving artificial intelligence for personalisation in autism spectrum disorder. Mahmud, M.; Kaiser, M S.; Rahman, M. A.; Wadhera, T.; Brown, D. J; Shopland, N.; Burton, A.; Hughes-Roberts, T.; Mamun, S. A.; Ieracitano, C.; and others In International Conference on Human-Computer Interaction, pages 356–370, 2022. Springer International Publishing Cham
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A review on VANET research: Perspective of recent emerging technologies. Mahi, M. J. N.; Chaki, S.; Ahmed, S.; Biswas, M.; Kaiser, M S.; Islam, M. S.; Sookhak, M.; Barros, A.; and Whaiduzzaman, M. IEEE Access, 10: 65760–65783. 2022.
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  2021 (29)
Deep learning in mining biological data. Mahmud, M.; Kaiser, M S.; McGinnity, T M.; and Hussain, A. Cognitive computation, 13(1): 1–33. 2021.
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One-shot cluster-based approach for the detection of COVID–19 from chest X–ray images. Aradhya, V. M.; Mahmud, M.; Guru, D.; Agarwal, B.; and Kaiser, M S. Cognitive Computation, 13(4): 873–881. 2021.
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Performance comparison of machine learning techniques in identifying dementia from open access clinical datasets. Miah, Y.; Prima, C. N. E.; Seema, S. J.; Mahmud, M.; and Shamim Kaiser, M In Advances on Smart and Soft Computing: Proceedings of ICACIn 2020, pages 79–89, 2021. Springer Singapore
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Trust IoHT: a trust management model for internet of healthcare things. Esha, N. H.; Tasmim, M. R.; Huq, S.; Mahmud, M.; and Kaiser, M S. In Proceedings of International Conference on Data Science and Applications: ICDSA 2019, pages 47–57, 2021. Springer Singapore
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Healthcare robots to combat COVID-19. Kaiser, M S.; Al Mamun, S.; Mahmud, M.; and Tania, M. H. COVID-19: Prediction, decision-making, and its impacts,83–97. 2021.
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Machine learning in fighting pandemics: a COVID-19 case study. Mahmud, M.; and Kaiser, M S. COVID-19: prediction, decision-making, and its impacts,77–81. 2021.
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A blockchain-based scheme for sybil attack detection in underwater wireless sensor networks. Arifeen, M. M.; Al Mamun, A.; Ahmed, T.; Kaiser, M S.; and Mahmud, M. In Proceedings of International Conference on Trends in Computational and Cognitive Engineering: Proceedings of TCCE 2020, pages 467–476, 2021. Springer Singapore
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A combined framework of interplanetary file system and blockchain to securely manage electronic medical records. Al Mamun, A.; Faruk Jahangir, M. U.; Azam, S.; Kaiser, M S.; and Karim, A. In Proceedings of International Conference on Trends in Computational and Cognitive Engineering: Proceedings of TCCE 2020, pages 501–511, 2021. Springer Singapore
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Towards a blockchain-based supply chain management for e-agro business system. Al-Amin, S.; Sharkar, S. R.; Kaiser, M S.; and Biswas, M. In Proceedings of International Conference on Trends in Computational and Cognitive Engineering: Proceedings of TCCE 2020, pages 329–339, 2021. Springer Singapore
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Anomaly detection in electroencephalography signal using deep learning model. Tahura, S.; Hasnat Samiul, S.; Shamim Kaiser, M; and Mahmud, M. In Proceedings of International Conference on Trends in Computational and Cognitive Engineering: Proceedings of TCCE 2020, pages 205–217, 2021. Springer Singapore
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Secured smart healthcare system: blockchain and Bayesian inference based approach. Farhin, F.; Kaiser, M S.; and Mahmud, M. In Proceedings of International Conference on Trends in Computational and Cognitive Engineering: Proceedings of TCCE 2020, pages 455–465, 2021. Springer Singapore
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iWorkSafe: towards healthy workplaces during COVID-19 with an intelligent pHealth App for industrial settings. Kaiser, M S.; Mahmud, M.; Noor, M. B. T.; Zenia, N. Z.; Al Mamun, S.; Mahmud, K. A.; Azad, S.; Aradhya, V. M.; Stephan, P.; Stephan, T.; and others Ieee Access, 9: 13814–13828. 2021.
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Towards an accelerometer-based elderly fall detection system using cross-disciplinary time series features. Al Nahian, M. J.; Ghosh, T.; Al Banna, M. H.; Aseeri, M. A; Uddin, M. N.; Ahmed, M. R.; Mahmud, M.; and Kaiser, M S. IEEE Access, 9: 39413–39431. 2021.
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COVID-19 infection detection from chest X-ray images using hybrid social group optimization and support vector classifier. Singh, A. K.; Kumar, A.; Mahmud, M.; Kaiser, M S.; and Kishore, A. Cognitive Computation,1–13. 2021.
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Contactless fall detection for the elderly. Nahian, M J. A.; Raju, M. H.; Tasnim, Z.; Mahmud, M.; Ahad, M. A. R.; and Kaiser, M S. Contactless Human Activity Analysis,203–235. 2021.
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Attention-based bi-directional long-short term memory network for earthquake prediction. Al Banna, M. H.; Ghosh, T.; Al Nahian, M. J.; Taher, K. A.; Kaiser, M S.; Mahmud, M.; Hossain, M. S.; and Andersson, K. IEEE Access, 9: 56589–56603. 2021.
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Artificial intelligence and machine learning for ensuring security in smart cities. Ahmed, S.; Hossain, M. F.; Kaiser, M S.; Noor, M. B. T.; Mahmud, M.; and Chakraborty, C. In Data-Driven Mining, Learning and Analytics for Secured Smart Cities: Trends and Advances, pages 23–47. Springer International Publishing Cham, 2021.
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Short-term prediction of COVID-19 cases using machine learning models. Satu, M. S.; Howlader, K. C.; Mahmud, M.; Kaiser, M S.; Shariful Islam, S. M.; Quinn, J. M.; Alyami, S. A; and Moni, M. A. Applied Sciences, 11(9): 4266. 2021.
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Security threats and artificial intelligence based countermeasures for internet of things networks: a comprehensive survey. Zaman, S.; Alhazmi, K.; Aseeri, M. A; Ahmed, M. R.; Khan, R. T.; Kaiser, M S.; and Mahmud, M. Ieee Access, 9: 94668–94690. 2021.
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SANTIA: a Matlab-based open-source toolbox for artifact detection and removal from extracellular neuronal signals. Fabietti, M.; Mahmud, M.; Lotfi, A.; Kaiser, M S.; Averna, A.; Guggenmos, D. J; Nudo, R. J; Chiappalone, M.; and Chen, J. Brain Informatics, 8: 1–19. 2021.
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Covid-19 detection using chest x-ray images with a regnet structured deep learning model. Mahbub, M. K.; Biswas, M.; Miah, A. M.; Shahabaz, A.; and Kaiser, M S. In Applied Intelligence and Informatics: First International Conference, AII 2021, Nottingham, UK, July 30–31, 2021, Proceedings 1, pages 358–370, 2021. Springer International Publishing
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Artificial intelligence and internet of things in screening and management of autism spectrum disorder. Ghosh, T.; Al Banna, M. H.; Rahman, M. S.; Kaiser, M S.; Mahmud, M.; Hosen, A. S.; and Cho, G. H. Sustainable Cities and Society, 74: 103189. 2021.
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Towards Machine Learning Based Intrusion Detection in IoT Networks. Islam, N.; Farhin, F.; Sultana, I.; Kaiser, M S.; Rahman, M. S.; Mahmud, M.; SanwarHosen, A.; and Cho, G. H. Computers, Materials & Continua, 69(2). 2021.
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An artificial intelligence based approach towards inclusive healthcare provisioning in society 5.0: a perspective on brain disorder. Al Mamun, S.; Kaiser, M S.; and Mahmud, M. In International Conference on Brain Informatics, pages 157–169, 2021. Springer International Publishing Cham
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An attention-based mood controlling framework for social media users. Ghosh, T.; Banna, M. H. A.; Angona, T. M.; Nahian, M. J. A.; Uddin, M. N.; Kaiser, M S.; and Mahmud, M. In Brain Informatics: 14th International Conference, BI 2021, Virtual Event, September 17–19, 2021, Proceedings 14, pages 245–256, 2021. Springer International Publishing
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Indoor navigation support system for patients with neurodegenerative diseases. Biswas, M.; Rahman, A.; Kaiser, M S.; Al Mamun, S.; Ebne Mizan, K S.; Islam, M. S.; and Mahmud, M. In Brain Informatics: 14th International Conference, BI 2021, Virtual Event, September 17–19, 2021, Proceedings 14, pages 411–422, 2021. Springer International Publishing
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An XAI based autism detection: the context behind the detection. Biswas, M.; Kaiser, M S.; Mahmud, M.; Al Mamun, S.; Hossain, M. S.; and Rahman, M. A. In International Conference on Brain Informatics, pages 448–459, 2021. Springer International Publishing Cham
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Cross-content recommendation between movie and book using machine learning. Nawar, A.; Toma, N. T.; Al Mamun, S.; Kaiser, M S.; Mahmud, M.; and Rahman, M. A. In 2021 IEEE 15th international conference on application of information and communication technologies (AICT), pages 1–6, 2021. IEEE
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ACCU3RATE: A mobile health application rating scale based on user reviews. Biswas, M.; Tania, M. H.; Kaiser, M S.; Kabir, R.; Mahmud, M.; and Kemal, A. A. PloS one, 16(12): e0258050. 2021.
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  2020 (21)
Hidden Markov model based trust management model for underwater wireless sensor networks. Arifeen, M. M.; Bhakta, D.; Remu, S. R. H.; Islam, M. M.; Mahmud, M.; and Kaiser, M S. In Proceedings Of The International Conference On Computing Advancements, pages 1–5, 2020.
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Social group optimization–assisted Kapur’s entropy and morphological segmentation for automated detection of COVID-19 infection from computed tomography images. Dey, N.; Rajinikanth, V.; Fong, S. J.; Kaiser, M S.; and Mahmud, M. Cognitive Computation, 12(5): 1011–1023. 2020.
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Blockchain-enable contact tracing for preserving user privacy during COVID-19 outbreak. Arifeen, M. M.; Al Mamun, A.; Kaiser, M S.; and Mahmud, M. . 2020.
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A monitoring system for patients of autism spectrum disorder using artificial intelligence. Al Banna, M. H.; Ghosh, T.; Taher, K. A.; Kaiser, M S.; and Mahmud, M. In International conference on brain informatics, pages 251–262, 2020. Springer International Publishing Cham
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Towards improved detection of cognitive performance using bidirectional multilayer long-short term memory neural network. Satu, M. S.; Rahman, S.; Khan, M. I.; Abedin, M. Z.; Kaiser, M S.; and Mahmud, M. In International Conference on Brain Informatics, pages 297–306, 2020. Springer International Publishing Cham
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Machine learning based early fall detection for elderly people with neurological disorder using multimodal data fusion. Nahiduzzaman, M.; Tasnim, M.; Newaz, N. T.; Kaiser, M S.; and Mahmud, M. In International Conference on Brain Informatics, pages 204–214, 2020. Springer International Publishing Cham
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3D DenseNet ensemble in 4-way classification of Alzheimer’s disease. Ruiz, J.; Mahmud, M.; Modasshir, M.; Shamim Kaiser, M; and Alzheimer’s Disease Neuroimaging Initiative, f. t. In Brain Informatics: 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings 13, pages 85–96, 2020. Springer International Publishing
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Towards artificial intelligence driven emotion aware fall monitoring framework suitable for elderly people with neurological disorder. Al Nahian, M J.; Ghosh, T.; Uddin, M. N.; Islam, M. M.; Mahmud, M.; and Kaiser, M S. In International conference on brain informatics, pages 275–286, 2020. Springer International Publishing Cham
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Artificial and internet of healthcare things based Alzheimer care during COVID 19. Jesmin, S.; Kaiser, M S.; and Mahmud, M. In International conference on brain informatics, pages 263–274, 2020. Springer International Publishing Cham
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Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer’s disease, Parkinson’s disease and schizophrenia. Noor, M. B. T.; Zenia, N. Z.; Kaiser, M S.; Mamun, S. A.; and Mahmud, M. Brain informatics, 7: 1–21. 2020.
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Application of artificial intelligence in predicting earthquakes: state-of-the-art and future challenges. Al Banna, M. H.; Taher, K. A.; Kaiser, M S.; Mahmud, M.; Rahman, M. S.; Hosen, A. S.; and Cho, G. H. IEEE Access, 8: 192880–192923. 2020.
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Effect of corpora on classification of fake news using naive Bayes classifier. Adiba, F. I.; Islam, T.; Kaiser, M S.; Mahmud, M.; and Rahman, M. A. International Journal of Automation, Artificial Intelligence and Machine Learning, 1(1): 80–92. 2020.
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COVID-19 pandemic: a comparative prediction using machine learning. Sadik, R.; Reza, M. L.; Al Noman, A.; Al Mamun, S.; Kaiser, M S.; and Rahman, M. A. International Journal of Automation, Artificial Intelligence and Machine Learning, 1(1): 1–16. 2020.
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Secure and transparent KYC for banking system using IPFS and blockchain technology. Al Mamun, A.; Hasan, S. R.; Bhuiyan, M. S.; Kaiser, M S.; and Yousuf, M. A. In 2020 IEEE region 10 symposium (TENSYMP), pages 348–351, 2020. IEEE
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Gamma entrainment frequency affects mood, memory and cognition: an exploratory pilot study. Sharpe, R. L.; Mahmud, M.; Kaiser, M S.; and Chen, J. Brain informatics, 7(1): 17. 2020.
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6G access network for intelligent internet of healthcare things: opportunity, challenges, and research directions. Kaiser, M S.; Zenia, N.; Tabassum, F.; Mamun, S. A.; Rahman, M A.; Islam, M. S.; and Mahmud, M. In Proceedings of International Conference on Trends in Computational and Cognitive Engineering: Proceedings of TCCE 2020, pages 317–328, 2020. Springer Singapore Singapore
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Performance analysis of machine learning approaches in stroke prediction. Emon, M. U.; Keya, M. S.; Meghla, T. I.; Rahman, M. M.; Al Mamun, M S.; and Kaiser, M S. In 2020 4th international conference on electronics, communication and aerospace technology (ICECA), pages 1464–1469, 2020. IEEE
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Forecasting the risk of type ii diabetes using reinforcement learning. Zohora, M. F.; Tania, M. H.; Kaiser, M S.; and Mahmud, M. In 2020 joint 9th international conference on informatics, electronics & vision (ICIEV) and 2020 4th international conference on imaging, vision & pattern recognition (icIVPR), pages 1–6, 2020. IEEE
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Attack detection in internet of things using software defined network and fuzzy neural network. Farhin, F.; Sultana, I.; Islam, N.; Kaiser, M S.; Rahman, M. S.; and Mahmud, M. In 2020 joint 9th international conference on informatics, electronics & vision (ICIEV) and 2020 4th international conference on imaging, vision & pattern recognition (icIVPR), pages 1–6, 2020. IEEE
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Towards secured service provisioning for the internet of healthcare things. Farhin, F.; Kaiser, M S.; and Mahmud, M. In 2020 IEEE 14th international conference on application of information and communication technologies (AICT), pages 1–6, 2020. IEEE
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Towards artificial intelligence driven stress monitoring for mental wellbeing tracking during COVID-19. Jesmin, S.; Kaiser, M S.; and Mahmud, M. In 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), pages 845–851, 2020. IEEE
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  2019 (5)
Camera model identification using deep CNN and transfer learning approach. Al Banna, M. H.; Haider, M. A.; Al Nahian, M. J.; Islam, M. M.; Taher, K. A.; and Kaiser, M S. In 2019 international conference on robotics, electrical and signal processing techniques (ICREST), pages 626–630, 2019. IEEE
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Anfis based trust management model to enhance location privacy in underwater wireless sensor networks. Arifeen, M. M.; Rahman, M. M.; Taher, K. A.; Islam, M. M.; Kaiser, M S.; and others In 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE), pages 1–6, 2019. IEEE
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Application of convolutional neural network in segmenting brain regions from MRI data. Ali, H. M.; Kaiser, M S.; and Mahmud, M. In International conference on brain informatics, pages 136–146, 2019. Springer International Publishing Cham
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Detecting neurodegenerative disease from MRI: a brief review on a deep learning perspective. Noor, M. B. T.; Zenia, N. Z.; Kaiser, M S.; Mahmud, M.; and Al Mamun, S. In Brain Informatics: 12th International Conference, BI 2019, Haikou, China, December 13–15, 2019, Proceedings 12, pages 115–125, 2019. Springer International Publishing
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Assay type detection using advanced machine learning algorithms. Tania, M. H.; Lwin, K. T; Shabut, A. M; Abu-Hassan, K. J; Kaiser, M S.; and Hossain, M A. In 2019 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), pages 1–8, 2019. IEEE
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  2018 (9)
Applications of deep learning and reinforcement learning to biological data. Mahmud, M.; Kaiser, M. S.; Hussain, A.; and Vassanelli, S. IEEE transactions on neural networks and learning systems, 29(6): 2063–2079. 2018.
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An energy conserving routing scheme for wireless body sensor nanonetwork communication. Afsana, F.; Asif-Ur-Rahman, M.; Ahmed, M. R; Mahmud, M.; and Kaiser, M S. IEEE Access, 6: 9186–9200. 2018.
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A brain-inspired trust management model to assure security in a cloud based IoT framework for neuroscience applications. Mahmud, M.; Kaiser, M S.; Rahman, M M.; Rahman, M A.; Shabut, A.; Al-Mamun, S.; and Hussain, A. Cognitive Computation, 10: 864–873. 2018.
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A multidimensional trust evaluation model for MANETs. Shabut, A. M; Kaiser, M S.; Dahal, K. P; and Chen, W. Journal of Network and Computer Applications, 123: 32–41. 2018.
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An IoT-belief rule base smart system to assess autism. Alam, M. E.; Kaiser, M S.; Hossain, M. S.; and Andersson, K. In 2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT), pages 672–676, 2018. IEEE
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Toward a heterogeneous mist, fog, and cloud-based framework for the internet of healthcare things. Asif-Ur-Rahman, M.; Afsana, F.; Mahmud, M.; Kaiser, M S.; Ahmed, M. R; Kaiwartya, O.; and James-Taylor, A. IEEE Internet of Things Journal, 6(3): 4049–4062. 2018.
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f ASSERT: a fuzzy assistive system for children with autism using Internet of Things. Sumi, A. I.; Zohora, M. F.; Mahjabeen, M.; Faria, T. J.; Mahmud, M.; and Kaiser, M S. In Brain Informatics: International Conference, BI 2018, Arlington, TX, USA, December 7–9, 2018, Proceedings 11, pages 403–412, 2018. Springer International Publishing
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Adeptness: Alzheimer’s disease patient management system using pervasive sensors-early prototype and preliminary results. Niamat Ullah Akhund, T. M.; Mahi, M. J. N.; Hasnat Tanvir, A.; Mahmud, M.; and Kaiser, M S. In Brain Informatics: International Conference, BI 2018, Arlington, TX, USA, December 7–9, 2018, Proceedings 11, pages 413–422, 2018. Springer International Publishing
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A lightweight multi-tier S-MQTT framework to secure communication between low-end IoT nodes. Rahman, A.; Roy, S.; Kaiser, M S.; and Islam, M. S. In 2018 5th International Conference on Networking, Systems and Security (NSysS), pages 1–6, 2018. IEEE
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  2017 (1)
Advances in crowd analysis for urban applications through urban event detection. Kaiser, M. S.; Lwin, K. T; Mahmud, M.; Hajializadeh, D.; Chaipimonplin, T.; Sarhan, A.; and Hossain, M. A. IEEE Transactions on Intelligent Transportation Systems, 19(10): 3092–3112. 2017.
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  2016 (9)
A neuro-fuzzy control system based on feature extraction of surface electromyogram signal for solar-powered wheelchair. Kaiser, M S.; Chowdhury, Z. I.; Mamun, S. A.; Hussain, A.; and Mahmud, M. Cognitive Computation, 8: 946–954. 2016.
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Low cost and portable patient monitoring system for e-Health services in Bangladesh. Paul, M. C.; Sarkar, S.; Rahman, M. M.; Reza, S. M.; and Kaiser, M S. In 2016 international conference on computer communication and informatics (ICCCI), pages 1–4, 2016. IEEE
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Attack detection and prevention in the cyber physical system. Nizam, F.; Chaki, S.; Al Mamun, S.; Kaiser, M S.; and others In 2016 international conference on computer communication and informatics (ICCCI), pages 1–6, 2016. IEEE
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PHY/MAC layer attack detection system using neuro-fuzzy algorithm for IoT network. Rahman, S.; Al Mamun, S.; Ahmed, M. U.; and Kaiser, M S. In 2016 International conference on electrical, electronics, and optimization techniques (ICEEOT), pages 2531–2536, 2016. IEEE
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Energy-efficiency and reliability in MAC and routing protocols for underwater wireless sensor network: A survey. Zenia, N. Z.; Aseeri, M.; Ahmed, M. R; Chowdhury, Z. I; and Kaiser, M S. Journal of Network and Computer Applications, 71: 72–85. 2016.
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Techno-financial analysis and design of on-board intelligent-assisting system for a hybrid solar–DEG-powered boat. Mamun, S. A.; Chowdhury, Z. I.; Kaiser, M S.; and Islam, M. S. International Journal of Energy and Environmental Engineering, 7: 361–376. 2016.
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An intelligent flood monitoring system for Bangladesh using wireless sensor network. Sakib, S. N.; Ane, T.; Matin, N.; and Kaiser, M S. In 2016 5th international conference on informatics, electronics and vision (ICIEV), pages 979–984, 2016. IEEE
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Low cost rf based online patient monitoring using web and mobile applications. Roy, S.; Rahman, A.; Helal, M.; Kaiser, M S.; and Chowdhury, Z. I. In 2016 5th International Conference on Informatics, Electronics and Vision (ICIEV), pages 869–874, 2016. IEEE
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PSO-NF based vertical handoff decision for ubiquitous heterogeneous wireless network (UHWN). Rahman, S.; Sharma, T.; Reza, S.; Rahman, M.; Kaiser, M.; and others In 2016 International Workshop on Computational Intelligence (IWCI), pages 153–158, 2016. IEEE
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  2015 (5)
A novel algorithm for malicious attack detection in uwsn. Ahmed, M. R; Aseeri, M.; Kaiser, M S.; Zenia, N. Z; and Chowdhury, Z. I In 2015 International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), pages 1–6, 2015. IEEE
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Performance evaluation of a portable PABX system through developing new bandwidth optimization technique. Rahman, M. T.; Mahi, M. J. N.; Biswas, M.; Kaiser, M S.; and Al Mamun, S. In 2015 International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), pages 1–5, 2015. IEEE
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Innovative approach in web application effort & cost estimation using functional measurement type. Reza, S. M.; Rahman, M. M.; Parvez, M. H.; Kaiser, M S.; and Al Mamun, S. In 2015 International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), pages 1–7, 2015. IEEE
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Outage capacity analysis of cluster-based forwarding scheme for body area network using nano-electromagnetic communication. Afsana, F.; Mamun, S.; Kaiser, M.; and Ahmed, M. In 2015 2nd international conference on electrical information and communication technologies (EICT), pages 383–388, 2015. IEEE
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Applying ant colony optimization in software testing to generate prioritized optimal path and test data. Biswas, S.; Kaiser, M S.; and Mamun, S. In 2015 International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), pages 1–6, 2015. IEEE
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  2014 (2)
Improvement of RFID tag detection using smart antenna for tag based school monitoring system. Khanam, S.; Mahbub, M.; Mandal, A.; Kaiser, M S.; and Al Mamun, S. In 2014 International Conference on Electrical Engineering and Information & Communication Technology, pages 1–6, 2014. IEEE
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Cloud based healthcare application architecture and electronic medical record mining: an integrated approach to improve healthcare system. Biswas, S.; Akhter, T.; Kaiser, M.; Mamun, S.; and others In 2014 17th international conference on computer and information technology (ICCIT), pages 286–291, 2014. IEEE
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  2012 (1)
Neuro-Fuzzy based adaptive traffic flow control system. Iqbal, M. A.; Zahin, A.; Islam, Z. S.; and Kaiser, M S. In 2012 International Conference on Communications, Devices and Intelligent Systems (CODIS), pages 349–352, 2012. IEEE
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  2010 (2)
Power allocation in OFDM-based cognitive relay networks. Kaiser, M S.; Ahmed, K. M; and Shah, R. A. In 2010 IEEE International Conference on Wireless Communications, Networking and Information Security, pages 202–206, 2010. IEEE
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Neuro-Fuzzy (NF) based relay selection and resource allocation for cooperative networks. Kaiser, M S.; Chaudary, M H.; Shah, R. A.; and Ahmed, K. M In ECTI-CON2010: The 2010 ECTI International Confernce on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, pages 244–248, 2010. IEEE
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  2009 (1)
Fuzzy logic based relay search algorithm for cooperative systems. Kaiser, M S.; Adachi, F; Khan, I.; and Ahmed, K. M In 2009 First International Communication Systems and Networks and Workshops, pages 1–7, 2009. IEEE
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  2006 (2)
Energy efficient system for St Martin’s island of Bangladesh. Kaiser, M S.; Khadem, S.; Ghosh, H.; Kaiser, S; and Aditya, S. Proceedings of the Journal of Engineering and Applied Sciences, 1: 93–97. 2006.
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Wind energy assessment for the coastal part of Bangladesh. Kaiser, M S.; Rahman, M A.; Rahman, M M.; and Sharna, S. Journal of Engineering and Applied Sciences, 1(2): 87–92. 2006.
link   bibtex