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  2024 (4)
Exploring Deep Learning and Machine Learning Approaches for Brain Hemorrhage Detection. Ahmed, S.; Esha, J. F.; Rahman, M. S.; Kaiser, M. S.; Hosen, A. S. M. S.; Ghimire, D.; and Park, M. J. IEEE Access, 12: 45060–45093. 2024.
Exploring Deep Learning and Machine Learning Approaches for Brain Hemorrhage Detection [link]Paper   doi   link   bibtex  
State-of-the-Art of Stress Prediction from Heart Rate Variability Using Artificial Intelligence. Haque, Y.; Zawad, R. S.; Rony, C. S. A.; Banna, M. H. A.; Ghosh, T.; Kaiser, M. S.; and Mahmud, M. Cogn. Comput., 16(2): 455–481. 2024.
State-of-the-Art of Stress Prediction from Heart Rate Variability Using Artificial Intelligence [link]Paper   doi   link   bibtex  
Accurate Prediction of Lysine Methylation Sites Using Evolutionary and Structural-Based Information. Arafat, M. E.; Ahmad, M. W.; Shovan, S. M.; Haq, T. U.; Islam, N.; Mahmud, M.; and Kaiser, M. S. Cogn. Comput., 16(3): 1300–1320. 2024.
Accurate Prediction of Lysine Methylation Sites Using Evolutionary and Structural-Based Information [link]Paper   doi   link   bibtex  
\emphiBUST: An intelligent behavioural trust model for securing industrial cyber-physical systems. Azad, S.; Mahmud, M.; Zamli, K. Z.; Kaiser, M. S.; Jahan, S.; and Razzaque, M. A. Expert Syst. Appl., 238(Part B): 121676. 2024.
\emphiBUST: An intelligent behavioural trust model for securing industrial cyber-physical systems [link]Paper   doi   link   bibtex  
  2023 (17)
Comprehensive Analysis of Nature-Inspired Algorithms for Parkinson's Disease Diagnosis. Shafiq, S.; Ahmed, S.; Kaiser, M. S.; Mahmud, M.; Hossain, M. S.; and Andersson, K. IEEE Access, 11: 1629–1653. 2023.
Comprehensive Analysis of Nature-Inspired Algorithms for Parkinson's Disease Diagnosis [link]Paper   doi   link   bibtex  
Detecting COVID-19 From Lung Computed Tomography Images: A Swarm Optimized Artificial Neural Network Approach. Stephan, P.; Stephan, T.; Kannan, R.; Mahmud, M.; Kaiser, M. S.; and Belhaouari, S. B. IEEE Access, 11: 12378–12393. 2023.
Detecting COVID-19 From Lung Computed Tomography Images: A Swarm Optimized Artificial Neural Network Approach [link]Paper   doi   link   bibtex  
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. M. S.; and Ra, I. IEEE Access, 11: 30690–30725. 2023.
AI-Based Epileptic Seizure Detection and Prediction in Internet of Healthcare Things: A Systematic Review [link]Paper   doi   link   bibtex  
A Hybrid Deep Learning Model to Predict the Impact of COVID-19 on Mental Health From Social Media Big Data. Banna, M. H. A.; Ghosh, T.; Nahian, M. J. A.; Kaiser, M. S.; Mahmud, M.; Taher, K. A.; Hossain, M. S.; and Andersson, K. IEEE Access, 11: 77009–77022. 2023.
A Hybrid Deep Learning Model to Predict the Impact of COVID-19 on Mental Health From Social Media Big Data [link]Paper   doi   link   bibtex  
A Review on the Detection Techniques of Polycystic Ovary Syndrome Using Machine Learning. Ahmed, S.; Rahman, M. S.; Jahan, I.; Kaiser, M. S.; Hosen, A. S. M. S.; Ghimire, D.; and Kim, S. IEEE Access, 11: 86522–86543. 2023.
A Review on the Detection Techniques of Polycystic Ovary Syndrome Using Machine Learning [link]Paper   doi   link   bibtex  
UDTN-RS: A New Underwater Delay Tolerant Network Routing Protocol for Coastal Patrol and Surveillance. Azad, S.; Neffati, A. A.; Mahmud, M.; Kaiser, M. S.; Ahmed, M. R.; and Kamruzzaman, J. IEEE Access, 11: 142780–142793. 2023.
UDTN-RS: A New Underwater Delay Tolerant Network Routing Protocol for Coastal Patrol and Surveillance [link]Paper   doi   link   bibtex  
An attention-based hybrid architecture with explainability for depressive social media text detection in Bangla. Ghosh, T.; Banna, M. H. A.; Nahian, M. J. A.; Uddin, M. N.; Kaiser, M. S.; and Mahmud, M. Expert Syst. Appl., 213(Part): 119007. 2023.
An attention-based hybrid architecture with explainability for depressive social media text detection in Bangla [link]Paper   doi   link   bibtex   12 downloads  
Pathological test type and chemical detection using deep neural networks: a case study using ELISA and LFA assays. Tania, M. H.; Kaiser, M. S.; Abu-Hassan, K.; and Hossain, M. A. J. Enterp. Inf. Manag., 36(3): 790–817. 2023.
Pathological test type and chemical detection using deep neural networks: a case study using ELISA and LFA assays [link]Paper   doi   link   bibtex  
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 Comput. Appl., 35(22): 16113–16127. 2023.
Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-rays [link]Paper   doi   link   bibtex  
TAKEN: A Traffic Knowledge-Based Navigation System for Connected and Autonomous Vehicles. B, N. K.; Fernandes, R.; Rodrigues, A. P.; Mahmud, M.; Vijaya, P.; Gadekallu, T. R.; and Kaiser, M. S. Sensors, 23(2): 653. 2023.
TAKEN: A Traffic Knowledge-Based Navigation System for Connected and Autonomous Vehicles [link]Paper   doi   link   bibtex  
REER-H: A Reliable Energy Efficient Routing Protocol for Maritime Intelligent Transportation Systems. Zenia, N. Z.; Kaiser, M. S.; Mahmud, M.; Ahmed, M. R.; Kaiwartya, O.; and Kamruzzaman, J. IEEE Trans. Intell. Transp. Syst., 24(12): 13654–13669. 2023.
REER-H: A Reliable Energy Efficient Routing Protocol for Maritime Intelligent Transportation Systems [link]Paper   doi   link   bibtex  
DBSCAN-Based Malicious Node Detection to Secure Wireless Sensor Networks. Ahmed, M. R.; Myo, T.; Aseeri, M. A.; Marhaban, M. H. B.; Baroomi, B. A.; and Kaiser, M. S. In 5th International Conference on Big Data Engineering and Technology, BDET 2023, Singapore, July 15-17, 2023, pages 1–7, 2023. ACM
DBSCAN-Based Malicious Node Detection to Secure Wireless Sensor Networks [link]Paper   doi   link   bibtex  
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 Liu, F.; Zhang, Y.; Kuai, H.; Stephen, E. P.; and Wang, H., editor(s), Brain Informatics - 16th International Conference, BI 2023, Hoboken, NJ, USA, August 1-3, 2023, Proceedings, volume 13974, of Lecture Notes in Computer Science, pages 109–120, 2023. Springer
Exploring Deep Transfer Learning Ensemble for Improved Diagnosis and Classification of Alzheimer's Disease [link]Paper   doi   link   bibtex  
Comparison Between Explainable AI Algorithms for Alzheimer's Disease Prediction Using EfficientNet Models. Jahan, S.; Adib, M. R. S.; Mahmud, M.; and Kaiser, M. S. In Liu, F.; Zhang, Y.; Kuai, H.; Stephen, E. P.; and Wang, H., editor(s), Brain Informatics - 16th International Conference, BI 2023, Hoboken, NJ, USA, August 1-3, 2023, Proceedings, volume 13974, of Lecture Notes in Computer Science, pages 357–368, 2023. Springer
Comparison Between Explainable AI Algorithms for Alzheimer's Disease Prediction Using EfficientNet Models [link]Paper   doi   link   bibtex  
Machine Intelligence and Emerging Technologies - First International Conference, MIET 2022, Noakhali, Bangladesh, September 23-25, 2022, Proceedings, Part I. Satu, M. S.; Moni, M. A.; Kaiser, M. S.; and Arefin, M. S., editors. Volume 490, of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.Springer. 2023.
Machine Intelligence and Emerging Technologies - First International Conference, MIET 2022, Noakhali, Bangladesh, September 23-25, 2022, Proceedings, Part I [link]Paper   doi   link   bibtex  
Machine Intelligence and Emerging Technologies - First International Conference, MIET 2022, Noakhali, Bangladesh, September 23-25, 2022, Proceedings, Part II. Satu, M. S.; Moni, M. A.; Kaiser, M. S.; and Arefin, M. S., editors. Volume 491, of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.Springer. 2023.
Machine Intelligence and Emerging Technologies - First International Conference, MIET 2022, Noakhali, Bangladesh, September 23-25, 2022, Proceedings, Part II [link]Paper   doi   link   bibtex  
Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering - TCCE 2022, Tangail, Bangladesh, 18-19 December 2022. Kaiser, M. S.; Waheed, S.; Bandyopadhyay, A.; Mahmud, M.; and Ray, K., editors. Volume 618, of Lecture Notes in Networks and Systems.Springer. 2023.
Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering - TCCE 2022, Tangail, Bangladesh, 18-19 December 2022 [link]Paper   doi   link   bibtex  
  2022 (16)
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.
A Review on VANET Research: Perspective of Recent Emerging Technologies [link]Paper   doi   link   bibtex  
ABOT: an open-source online benchmarking tool for machine learning-based artefact detection and removal methods from neuronal signals. Fabietti, M.; Mahmud, M.; Lotfi, A.; and Kaiser, M. S. Brain Informatics, 9(1): 19. 2022.
ABOT: an open-source online benchmarking tool for machine learning-based artefact detection and removal methods from neuronal signals [link]Paper   doi   link   bibtex   1 download  
Low-Cost Internet of Things Platform for Epilepsy Monitoring Using Real-Time Electroencephalogram. Sharma, M. K.; Kaiser, M. S.; and Ray, K. Int. J. Ambient Comput. Intell., 13(1): 1–14. 2022.
Low-Cost Internet of Things Platform for Epilepsy Monitoring Using Real-Time Electroencephalogram [link]Paper   doi   link   bibtex  
A Nonparametric Model for Forecasting Life Expectancy at Birth Using Gaussian Process. Biswas, P.; Ireen, F. I.; Nawar, F. A.; Tabassum, M.; Rahman, M. A.; Mahmud, M.; Kaiser, M. S.; and Brown, D. J. In AII, pages 102–116, 2022.
A Nonparametric Model for Forecasting Life Expectancy at Birth Using Gaussian Process [link]Paper   doi   link   bibtex  
Evaluation of Galvanic Skin Response (GSR) Signals Features for Emotion Recognition. Kipli, K.; Latip, A. A. A.; Lias, K.; Bateni, N.; Yusoff, S. M.; Suud, J.; Jalil, M. A.; Ray, K.; Kaiser, M. S.; and Mahmud, M. In AII, pages 260–274, 2022.
Evaluation of Galvanic Skin Response (GSR) Signals Features for Emotion Recognition [link]Paper   doi   link   bibtex  
A Privacy-Preserving Federated-MobileNet for Facial Expression Detection from Images. Ghosh, T.; Banna, M. H. A.; Nahian, M. J. A.; Kaiser, M. S.; Mahmud, M.; Li, S.; and Pillay, N. In AII, pages 277–292, 2022.
A Privacy-Preserving Federated-MobileNet for Facial Expression Detection from Images [link]Paper   doi   link   bibtex  
Indoor Positioning and Navigation Using Bluetooth Low Energy and Cloud Service in Healthcare Perspective. Mizan, K. S. E.; Kaiser, M. S.; Mamun, S. A.; Biswas, M.; Zenia, N. Z.; Mahmud, M.; and Adamov, A. Z. In AII, pages 452–466, 2022.
Indoor Positioning and Navigation Using Bluetooth Low Energy and Cloud Service in Healthcare Perspective [link]Paper   doi   link   bibtex  
A Novel Framework to Detect Anomalous Nodes to Secure Wireless Sensor Networks. Ahmed, M. R.; Myo, T.; Baroomi, B. A.; Marhaban, M. H.; Kaiser, M. S.; and Mahmud, M. In AII, pages 499–510, 2022.
A Novel Framework to Detect Anomalous Nodes to Secure Wireless Sensor Networks [link]Paper   doi   link   bibtex  
A Machine Learning Approach for Early Detection of Postpartum Depression in Bangladesh. Raisa, J. F.; Kaiser, M. S.; and Mahmud, M. In Mahmud, M.; He, J.; Vassanelli, S.; Zundert, A. V.; and Zhong, N., editor(s), Brain Informatics - 15th International Conference, BI 2022, Padua, Italy, July 15-17, 2022, Proceedings, volume 13406, of Lecture Notes in Computer Science, pages 241–252, 2022. Springer
A Machine Learning Approach for Early Detection of Postpartum Depression in Bangladesh [link]Paper   doi   link   bibtex  
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. M.; Hughes-Roberts, T.; Mamun, S. A.; Ieracitano, C.; Tania, M. H.; Moni, M. A.; Islam, S. M. S.; Ray, K.; and Hossain, M. S. In Antona, M.; and Stephanidis, C., editor(s), Universal Access in Human-Computer Interaction. User and Context Diversity - 16th International Conference, UAHCI 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Virtual Event, June 26 - July 1, 2022, Proceedings, Part II, volume 13309, of Lecture Notes in Computer Science, pages 356–370, 2022. Springer
Towards Explainable and Privacy-Preserving Artificial Intelligence for Personalisation in Autism Spectrum Disorder [link]Paper   doi   link   bibtex  
iTB-test: An Intelligent Image-enabled Diagnostic System for In Vitro Screening of Infectious Diseases. Tania, M. H.; Kaiser, M. S.; Shabut, A. M.; AbuHassan, K. J.; Mahmud, M.; and Hossain, M. A. In 14th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2022, Phnom Penh, Cambodia, December 2-4, 2022, pages 1–6, 2022. IEEE
iTB-test: An Intelligent Image-enabled Diagnostic System for In Vitro Screening of Infectious Diseases [link]Paper   doi   link   bibtex  
An Efficient and Secure Data Deduplication Scheme for Cloud Assisted Storage Systems with Access Control. Nahiduzzaman, M.; Kaiser, M. S.; Ahmed, M. R.; and Tania, M. H. In TCCE, pages 309–319, 2022.
An Efficient and Secure Data Deduplication Scheme for Cloud Assisted Storage Systems with Access Control [link]Paper   doi   link   bibtex  
Low-Cost Energy Efficient Encryption Algorithm for Portable Device. Alam, A. F.; and Kaiser, M. S. In TCCE, pages 357–366, 2022.
Low-Cost Energy Efficient Encryption Algorithm for Portable Device [link]Paper   doi   link   bibtex  
A Reviewer Recommender System for Scientific Articles Using a New Similarity Threshold Discovery Technique. Azad, S.; Hoque, M. A.; Rimon, N. A.; Habib, M. M. S.; Mahmud, M.; Kaiser, M. S.; and Karim, M. R. In TCCE, pages 503–518, 2022.
A Reviewer Recommender System for Scientific Articles Using a New Similarity Threshold Discovery Technique [link]Paper   doi   link   bibtex  
Applied Intelligence and Informatics - Second International Conference, AII 2022, Reggio Calabria, Italy, September 1-3, 2022, Proceedings. Mahmud, M.; Ieracitano, C.; Kaiser, M. S.; Mammone, N.; and Morabito, F. C., editors. Volume 1724, of Communications in Computer and Information Science.Springer. 2022.
Applied Intelligence and Informatics - Second International Conference, AII 2022, Reggio Calabria, Italy, September 1-3, 2022, Proceedings [link]Paper   doi   link   bibtex  
Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering - TCCE 2021, Batu Pahat, Johor, Malaysia, October 21-22, 2021. Kaiser, M. S.; Ray, K.; Bandyopadhyay, A.; Jacob, K.; and Long, K. S., editors. Volume 348, of Lecture Notes in Networks and Systems.Springer. 2022.
Proceedings of the Third International Conference on Trends in Computational and Cognitive Engineering - TCCE 2021, Batu Pahat, Johor, Malaysia, October 21-22, 2021 [link]Paper   doi   link   bibtex  
  2021 (29)
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.; Mamun, S. A.; Mahmud, K. M. A.; Azad, S.; Aradhya, V. N. M.; Stephan, P.; Stephan, T.; Kannan, R.; Hanif, M.; Sharmeen, T.; Chen, T.; and Hussain, A. IEEE Access, 9: 13814–13828. 2021.
iWorksafe: Towards Healthy Workplaces During COVID-19 With an Intelligent Phealth App for Industrial Settings [link]Paper   doi   link   bibtex   4 downloads  
Towards an Accelerometer-Based Elderly Fall Detection System Using Cross-Disciplinary Time Series Features. Nahian, M. J. A.; Ghosh, T.; Banna, M. H. A.; Aseeri, M. A.; Uddin, M. N.; Ahmed, M. R.; Mahmud, M.; and Kaiser, M. S. IEEE Access, 9: 39413–39431. 2021.
Towards an Accelerometer-Based Elderly Fall Detection System Using Cross-Disciplinary Time Series Features [link]Paper   doi   link   bibtex  
Attention-Based Bi-Directional Long-Short Term Memory Network for Earthquake Prediction. Banna, M. H. A.; Ghosh, T.; Nahian, M. J. A.; Taher, K. A.; Kaiser, M. S.; Mahmud, M.; Hossain, M. S.; and Andersson, K. IEEE Access, 9: 56589–56603. 2021.
Attention-Based Bi-Directional Long-Short Term Memory Network for Earthquake Prediction [link]Paper   doi   link   bibtex   2 downloads  
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.
Security Threats and Artificial Intelligence Based Countermeasures for Internet of Things Networks: A Comprehensive Survey [link]Paper   doi   link   bibtex  
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): 14. 2021.
SANTIA: a Matlab-based open-source toolbox for artifact detection and removal from extracellular neuronal signals [link]Paper   doi   link   bibtex  
Deep Learning in Mining Biological Data. Mahmud, M.; Kaiser, M. S.; McGinnity, T. M.; and Hussain, A. Cogn. Comput., 13(1): 1–33. 2021.
Deep Learning in Mining Biological Data [link]Paper   doi   link   bibtex  
One-shot Cluster-Based Approach for the Detection of COVID-19 from Chest X-ray Images. Aradhya, V. N. M.; Mahmud, M.; Guru, D. S.; Agarwal, B.; and Kaiser, M. S. Cogn. Comput., 13(4): 873–881. 2021.
One-shot Cluster-Based Approach for the Detection of COVID-19 from Chest X-ray Images [link]Paper   doi   link   bibtex  
Key Techniques and Challenges for Processing of Heart Sound Signals. Salleh, S. H. S.; Noman, F. M.; Ting, C.; Hamid, S. R. B. G. S.; Hussain, S. H. B. S.; Jalil, M. A.; Latif, A. Z. A.; Jacob, K.; Ray, K.; Kaiser, M. S.; and Ali, J. In AII, pages 136–149, 2021.
Key Techniques and Challenges for Processing of Heart Sound Signals [link]Paper   doi   link   bibtex  
Enhanced Signal Processing Using Modified Cyclic Shift Tree Denoising. Hussain, H.; Aziz, W. S. N. A. W. A.; Ting, C.; Noman, F. M.; Latif, A. Z. A.; Samdin, S. B.; Sh, H.; Jalil, M. A.; Yusoff, Y.; Jacob, K.; Ray, K.; Kaiser, M. S.; Salleh, S. H. S.; and Ali, J. In AII, pages 150–160, 2021.
Enhanced Signal Processing Using Modified Cyclic Shift Tree Denoising [link]Paper   doi   link   bibtex  
ALO: AI for Least Observed People. Mamun, S. A.; Daud, M. E.; Mahmud, M.; Kaiser, M. S.; and Rossi, A. L. D. In AII, pages 306–317, 2021.
ALO: AI for Least Observed People [link]Paper   doi   link   bibtex   4 downloads  
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 AII, pages 358–370, 2021.
COVID-19 Detection Using Chest X-Ray Images with a RegNet Structured Deep Learning Model [link]Paper   doi   link   bibtex  
Identifying Individuals Using EEG-Based Brain Connectivity Patterns. Hussain, H.; Ting, C.; Jalil, M. A.; Ray, K.; Rizvi, S. Z. H.; Kavikumar, J.; Noman, F. M.; Zubaidi, A. Z. A.; Low, Y. F.; Sh-Hussain; Mahmud, M.; Kaiser, M. S.; and Ali, J. In Mahmud, M.; Kaiser, M. S.; Vassanelli, S.; Dai, Q.; and Zhong, N., editor(s), Brain Informatics - 14th International Conference, BI 2021, Virtual Event, September 17-19, 2021, Proceedings, volume 12960, of Lecture Notes in Computer Science, pages 124–135, 2021. Springer
Identifying Individuals Using EEG-Based Brain Connectivity Patterns [link]Paper   doi   link   bibtex  
An Artificial Intelligence Based Approach Towards Inclusive Healthcare Provisioning in Society 5.0: A Perspective on Brain Disorder. Mamun, S. A.; Kaiser, M. S.; and Mahmud, M. In Mahmud, M.; Kaiser, M. S.; Vassanelli, S.; Dai, Q.; and Zhong, N., editor(s), Brain Informatics - 14th International Conference, BI 2021, Virtual Event, September 17-19, 2021, Proceedings, volume 12960, of Lecture Notes in Computer Science, pages 157–169, 2021. Springer
An Artificial Intelligence Based Approach Towards Inclusive Healthcare Provisioning in Society 5.0: A Perspective on Brain Disorder [link]Paper   doi   link   bibtex  
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 Mahmud, M.; Kaiser, M. S.; Vassanelli, S.; Dai, Q.; and Zhong, N., editor(s), Brain Informatics - 14th International Conference, BI 2021, Virtual Event, September 17-19, 2021, Proceedings, volume 12960, of Lecture Notes in Computer Science, pages 245–256, 2021. Springer
An Attention-Based Mood Controlling Framework for Social Media Users [link]Paper   doi   link   bibtex  
Indoor Navigation Support System for Patients with Neurodegenerative Diseases. Biswas, M.; Rahman, A.; Kaiser, M. S.; Mamun, S. A.; Mizan, K. S. E.; Islam, M. S.; and Mahmud, M. In Mahmud, M.; Kaiser, M. S.; Vassanelli, S.; Dai, Q.; and Zhong, N., editor(s), Brain Informatics - 14th International Conference, BI 2021, Virtual Event, September 17-19, 2021, Proceedings, volume 12960, of Lecture Notes in Computer Science, pages 411–422, 2021. Springer
Indoor Navigation Support System for Patients with Neurodegenerative Diseases [link]Paper   doi   link   bibtex  
An XAI Based Autism Detection: The Context Behind the Detection. Biswas, M.; Kaiser, M. S.; Mahmud, M.; Mamun, S. A.; Hossain, M. S.; and Rahman, M. A. In Mahmud, M.; Kaiser, M. S.; Vassanelli, S.; Dai, Q.; and Zhong, N., editor(s), Brain Informatics - 14th International Conference, BI 2021, Virtual Event, September 17-19, 2021, Proceedings, volume 12960, of Lecture Notes in Computer Science, pages 448–459, 2021. Springer
An XAI Based Autism Detection: The Context Behind the Detection [link]Paper   doi   link   bibtex  
DRLAS: Digital Record Keeping in Land Administration System Relying on Blockchain. Biswas, M.; Akhund, T. M. N. U.; and Kaiser, M. S. In Yang, X.; Sherratt, S.; Dey, N.; and Joshi, A., editor(s), Proceedings of Sixth International Congress on Information and Communication Technology - ICICT 2021, London, Volume 3, volume 216, of Lecture Notes in Networks and Systems, pages 965–973, 2021. Springer
DRLAS: Digital Record Keeping in Land Administration System Relying on Blockchain [link]Paper   doi   link   bibtex  
Machine Learning Classification Algorithms for Predicting Depression Among University Students in Bangladesh. Munir, U. B.; Kaiser, M. S.; Islam, U. I.; and Siddiqui, F. H. In TCCE, pages 69–80, 2021.
Machine Learning Classification Algorithms for Predicting Depression Among University Students in Bangladesh [link]Paper   doi   link   bibtex  
Bangla Depressive Social Media Text Detection Using Hybrid Deep Learning Approach. Ghosh, T.; and Kaiser, M. S. In TCCE, pages 111–120, 2021.
Bangla Depressive Social Media Text Detection Using Hybrid Deep Learning Approach [link]Paper   doi   link   bibtex  
Implementation of Real-Time Automated Attendance System Using Deep Learning. Hasan, H. M.; Rahman, M. M.; Khan, M. A.; Meghla, T. I.; Mamun, S. A.; and Kaiser, M. S. In TCCE, pages 121–132, 2021.
Implementation of Real-Time Automated Attendance System Using Deep Learning [link]Paper   doi   link   bibtex  
A Brief Review of Computation Techniques for ECG Signal Analysis. Salleh, S. H. S.; Noman, F.; Hussain, H.; Ting, C.; Hamid, S. R. B. G. S.; Sh-Hussain, H.; Jalil, M. A.; Latif, A. Z. A.; Rizvi, S. Z. H.; Kipli, K.; Jacob, K.; Ray, K.; Kaiser, M. S.; Mahmud, M.; and Ali, J. In TCCE, pages 223–234, 2021.
A Brief Review of Computation Techniques for ECG Signal Analysis [link]Paper   doi   link   bibtex  
Low-Cost Stand-Alone Smart Irrigation System: A Case Study. Chowdhury, F. H.; Raisa, R. A.; Azad, M. S. U.; Kaiser, M. S.; and Mahmud, M. In TCCE, pages 349–356, 2021.
Low-Cost Stand-Alone Smart Irrigation System: A Case Study [link]Paper   doi   link   bibtex  
Drop-Shaped Fractal Patch Antenna for THz Applications. Garhwal, A.; Jalil, M. A.; Mahmud, M.; Kaiser, M. S.; Ray, K.; Yupapin, P. P.; Prabpal, P.; Rizvi, S. Z. H.; Jacob, K.; Bandyopadhyay, A.; and Ali, J. In TCCE, pages 405–410, 2021.
Drop-Shaped Fractal Patch Antenna for THz Applications [link]Paper   doi   link   bibtex  
Deep Neural Networks for Brain Tumor Detection from MRI Images. Mahbub, M. K.; Biswas, M.; Miah, M. A. M.; and Kaiser, M. S. In TCCE, pages 473–485, 2021.
Deep Neural Networks for Brain Tumor Detection from MRI Images [link]Paper   doi   link   bibtex  
Facial Detection for Neonatal Infant Pain Using Facial Geometry Features and LBP. Ritu, J. T.; Shakil, M. S. H.; Hasan, M. N. I.; Mamun, S. A.; Kaiser, M. S.; and Mahmud, M. In TCCE, pages 509–518, 2021.
Facial Detection for Neonatal Infant Pain Using Facial Geometry Features and LBP [link]Paper   doi   link   bibtex  
Classification of ECG Ventricular Beats Assisted by Gaussian Parameters' Dictionary. Salleh, S.; Noman, F.; Hussain, H.; Ting, C.; Hamid, S. R. B. G. S.; Sh-Hussain, H.; Jalil, M. A.; Zubaidi, A. L. A.; Rizvi, S. Z. H.; Kipli, K.; Jacob, K.; Ray, K.; Kaiser, M. S.; Mahmud, M.; and Ali, J. In TCCE, pages 533–548, 2021.
Classification of ECG Ventricular Beats Assisted by Gaussian Parameters' Dictionary [link]Paper   doi   link   bibtex  
Oil Palm Tree Detection and Counting for Precision Farming Using Deep Learning CNN. Kipli, K.; Bin, P. L. J.; En, S. H.; Joseph, A.; Zen, H.; Kien, B. G. Y.; Jalil, M. A.; Ray, K.; Kaiser, M. S.; and Mahmud, M. In TCCE, pages 549–560, 2021.
Oil Palm Tree Detection and Counting for Precision Farming Using Deep Learning CNN [link]Paper   doi   link   bibtex  
Applied Intelligence and Informatics - First International Conference, AII 2021, Nottingham, UK, July 30-31, 2021, Proceedings. Mahmud, M.; Kaiser, M. S.; Kasabov, N. K.; Iftekharuddin, K.; and Zhong, N., editors. Volume 1435, of Communications in Computer and Information Science.Springer. 2021.
Applied Intelligence and Informatics - First International Conference, AII 2021, Nottingham, UK, July 30-31, 2021, Proceedings [link]Paper   doi   link   bibtex  
Brain Informatics - 14th International Conference, BI 2021, Virtual Event, September 17-19, 2021, Proceedings. Mahmud, M.; Kaiser, M. S.; Vassanelli, S.; Dai, Q.; and Zhong, N., editors. Volume 12960, of Lecture Notes in Computer Science.Springer. 2021.
Brain Informatics - 14th International Conference, BI 2021, Virtual Event, September 17-19, 2021, Proceedings [link]Paper   doi   link   bibtex  
  2020 (14)
Application of Artificial Intelligence in Predicting Earthquakes: State-of-the-Art and Future Challenges. Banna, M. H. A.; Taher, K. A.; Kaiser, M. S.; Mahmud, M.; Rahman, M. S.; Hosen, A. S. M. S.; and Cho, G. H. IEEE Access, 8: 192880–192923. 2020.
Application of Artificial Intelligence in Predicting Earthquakes: State-of-the-Art and Future Challenges [link]Paper   doi   link   bibtex  
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): 11. 2020.
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 [link]Paper   doi   link   bibtex   1 download  
Gamma entrainment frequency affects mood, memory and cognition: an exploratory pilot study. Sharpe, R.; Mahmud, M.; Kaiser, M. S.; and Chen, J. Brain Informatics, 7(1): 17. 2020.
Gamma entrainment frequency affects mood, memory and cognition: an exploratory pilot study [link]Paper   doi   link   bibtex  
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. Cogn. Comput., 12(5): 1011–1023. 2020.
Social Group Optimization-Assisted Kapur's Entropy and Morphological Segmentation for Automated Detection of COVID-19 Infection from Computed Tomography Images [link]Paper   doi   link   bibtex  
3D DenseNet Ensemble in 4-Way Classification of Alzheimer's Disease. Ruiz, J.; Mahmud, M.; Modasshir, M.; and Kaiser, M. S. In Mahmud, M.; Vassanelli, S.; Kaiser, M. S.; and Zhong, N., editor(s), Brain Informatics - 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings, volume 12241, of Lecture Notes in Computer Science, pages 85–96, 2020. Springer
3D DenseNet Ensemble in 4-Way Classification of Alzheimer's Disease [link]Paper   doi   link   bibtex  
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 Mahmud, M.; Vassanelli, S.; Kaiser, M. S.; and Zhong, N., editor(s), Brain Informatics - 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings, volume 12241, of Lecture Notes in Computer Science, pages 204–214, 2020. Springer
Machine Learning Based Early Fall Detection for Elderly People with Neurological Disorder Using Multimodal Data Fusion [link]Paper   doi   link   bibtex  
A Monitoring System for Patients of Autism Spectrum Disorder Using Artificial Intelligence. Banna, M. H. A.; Ghosh, T.; Taher, K. A.; Kaiser, M. S.; and Mahmud, M. In Mahmud, M.; Vassanelli, S.; Kaiser, M. S.; and Zhong, N., editor(s), Brain Informatics - 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings, volume 12241, of Lecture Notes in Computer Science, pages 251–262, 2020. Springer
A Monitoring System for Patients of Autism Spectrum Disorder Using Artificial Intelligence [link]Paper   doi   link   bibtex  
Artificial and Internet of Healthcare Things Based Alzheimer Care During COVID 19. Jesmin, S.; Kaiser, M. S.; and Mahmud, M. In Mahmud, M.; Vassanelli, S.; Kaiser, M. S.; and Zhong, N., editor(s), Brain Informatics - 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings, volume 12241, of Lecture Notes in Computer Science, pages 263–274, 2020. Springer
Artificial and Internet of Healthcare Things Based Alzheimer Care During COVID 19 [link]Paper   doi   link   bibtex  
Towards Artificial Intelligence Driven Emotion Aware Fall Monitoring Framework Suitable for Elderly People with Neurological Disorder. Nahian, M. J. A.; Ghosh, T.; Uddin, M. N.; Islam, M. M.; Mahmud, M.; and Kaiser, M. S. In Mahmud, M.; Vassanelli, S.; Kaiser, M. S.; and Zhong, N., editor(s), Brain Informatics - 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings, volume 12241, of Lecture Notes in Computer Science, pages 275–286, 2020. Springer
Towards Artificial Intelligence Driven Emotion Aware Fall Monitoring Framework Suitable for Elderly People with Neurological Disorder [link]Paper   doi   link   bibtex  
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 Mahmud, M.; Vassanelli, S.; Kaiser, M. S.; and Zhong, N., editor(s), Brain Informatics - 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings, volume 12241, of Lecture Notes in Computer Science, pages 297–306, 2020. Springer
Towards Improved Detection of Cognitive Performance Using Bidirectional Multilayer Long-Short Term Memory Neural Network [link]Paper   doi   link   bibtex  
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 ICCA 2020: International Conference on Computing Advancements, Dhaka, Bangladesh, January 10-12, 2020, pages 10:1–10:5, 2020. ACM
Hidden Markov Model based Trust Management Model for Underwater Wireless Sensor Networks [link]Paper   doi   link   bibtex   1 download  
Towards Artificial Intelligence Driven Stress monitoring for mental wellbeing tracking During COVID-19. Jesmin, S.; Kaiser, M. S.; and Mahmud, M. In He, J.; Purohit, H.; Huang, G.; Gao, X.; and Deng, K., editor(s), IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI/IAT 2020, Melbourne, Australia, December 14-17, 2020, pages 845–851, 2020. IEEE
Towards Artificial Intelligence Driven Stress monitoring for mental wellbeing tracking During COVID-19 [link]Paper   doi   link   bibtex  
Brain Informatics - 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings. Mahmud, M.; Vassanelli, S.; Kaiser, M. S.; and Zhong, N., editors. Volume 12241, of Lecture Notes in Computer Science.Springer. 2020.
Brain Informatics - 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings [link]Paper   doi   link   bibtex  
Deep Learning in Mining Biological Data. Mahmud, M.; Kaiser, M. S.; and Hussain, A. CoRR, abs/2003.00108. 2020.
Deep Learning in Mining Biological Data [link]Paper   link   bibtex  
  2019 (4)
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 Things J., 6(3): 4049–4062. 2019.
Toward a Heterogeneous Mist, Fog, and Cloud-Based Framework for the Internet of Healthcare Things [link]Paper   doi   link   bibtex  
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 Mamun, S. A. In Liang, P.; Goel, V.; and Shan, C., editor(s), Brain Informatics - 12th International Conference, BI 2019, Haikou, China, December 13-15, 2019, Proceedings, volume 11976, of Lecture Notes in Computer Science, pages 115–125, 2019. Springer
Detecting Neurodegenerative Disease from MRI: A Brief Review on a Deep Learning Perspective [link]Paper   doi   link   bibtex  
Application of Convolutional Neural Network in Segmenting Brain Regions from MRI Data. Ali, H. M.; Kaiser, M. S.; and Mahmud, M. In Liang, P.; Goel, V.; and Shan, C., editor(s), Brain Informatics - 12th International Conference, BI 2019, Haikou, China, December 13-15, 2019, Proceedings, volume 11976, of Lecture Notes in Computer Science, pages 136–146, 2019. Springer
Application of Convolutional Neural Network in Segmenting Brain Regions from MRI Data [link]Paper   doi   link   bibtex  
Assay Type Detection Using Advanced Machine Learning Algorithms. Tania, M. H.; Lwin, K. T.; Shabut, A. M.; AbuHassan, K. J.; Kaiser, M. S.; and Hossain, M. A. In 13th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2019, Island of Ulkulhas, Maldives, August 26-28, 2019, pages 1–8, 2019. IEEE
Assay Type Detection Using Advanced Machine Learning Algorithms [link]Paper   doi   link   bibtex  
  2018 (11)
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.
An Energy Conserving Routing Scheme for Wireless Body Sensor Nanonetwork Communication [link]Paper   doi   link   bibtex  
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. M.; Mamun, S. A.; and Hussain, A. Cogn. Comput., 10(5): 864–873. 2018.
A Brain-Inspired Trust Management Model to Assure Security in a Cloud Based IoT Framework for Neuroscience Applications [link]Paper   doi   link   bibtex  
A multidimensional trust evaluation model for MANETs. Shabut, A. M.; Kaiser, M. S.; Dahal, K. P.; and Chen, W. J. Netw. Comput. Appl., 123: 32–41. 2018.
A multidimensional trust evaluation model for MANETs [link]Paper   doi   link   bibtex   1 download  
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 Trans. Intell. Transp. Syst., 19(10): 3092–3112. 2018.
Advances in Crowd Analysis for Urban Applications Through Urban Event Detection [link]Paper   doi   link   bibtex  
Applications of Deep Learning and Reinforcement Learning to Biological Data. Mahmud, M.; Kaiser, M. S.; Hussain, A.; and Vassanelli, S. IEEE Trans. Neural Networks Learn. Syst., 29(6): 2063–2079. 2018.
Applications of Deep Learning and Reinforcement Learning to Biological Data [link]Paper   doi   link   bibtex  
fASSERT: 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 Wang, S.; Yamamoto, V.; Su, J.; Yang, Y.; Jones, E.; Iasemidis, L. D.; and Mitchell, T. M., editor(s), Brain Informatics - International Conference, BI 2018, Arlington, TX, USA, December 7-9, 2018, Proceedings, volume 11309, of Lecture Notes in Computer Science, pages 403–412, 2018. Springer
fASSERT: A Fuzzy Assistive System for Children with Autism Using Internet of Things [link]Paper   doi   link   bibtex  
ADEPTNESS: Alzheimer's Disease Patient Management System Using Pervasive Sensors - Early Prototype and Preliminary Results. Akhund, T. M. N. U.; Mahi, M. J. N.; Tanvir, A. N. M. H.; Mahmud, M.; and Kaiser, M. S. In Wang, S.; Yamamoto, V.; Su, J.; Yang, Y.; Jones, E.; Iasemidis, L. D.; and Mitchell, T. M., editor(s), Brain Informatics - International Conference, BI 2018, Arlington, TX, USA, December 7-9, 2018, Proceedings, volume 11309, of Lecture Notes in Computer Science, pages 413–422, 2018. Springer
ADEPTNESS: Alzheimer's Disease Patient Management System Using Pervasive Sensors - Early Prototype and Preliminary Results [link]Paper   doi   link   bibtex  
Performance Analysis of MC-CDMA based Underwater Wireless Sensor Network. Arifeen, M. M.; Tasnim, Z.; Mahmud, M.; and Kaiser, M. S. In 2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2018, Bangalore, India, September 19-22, 2018, pages 1919–1924, 2018. IEEE
Performance Analysis of MC-CDMA based Underwater Wireless Sensor Network [link]Paper   doi   link   bibtex  
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 5th International Conference on Networking, Systems and Security, NSysS 2018, Dhaka, Bangladesh, December 18-20, 2018, pages 146–151, 2018. IEEE
A Lightweight Multi-tier S-MQTT Framework to Secure Communication between low-end IoT Nodes [link]Paper   doi   link   bibtex  
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. CoRR, abs/1801.02621. 2018.
An Energy Conserving Routing Scheme for Wireless Body Sensor Nanonetwork Communication [link]Paper   link   bibtex  
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. M.; Mamun, S. A.; and Hussain, A. CoRR, abs/1801.03984. 2018.
A Brain-Inspired Trust Management Model to Assure Security in a Cloud based IoT Framework for Neuroscience Applications [link]Paper   link   bibtex  
  2017 (4)
Neuro-fuzzy selection algorithm for optimal relaying in OFDM systems. Kaiser, M. S.; and Ahmed, K. M. Int. J. Auton. Adapt. Commun. Syst., 10(2): 213–235. 2017.
Neuro-fuzzy selection algorithm for optimal relaying in OFDM systems [link]Paper   doi   link   bibtex  
Electrical analysis of single-walled carbon nanotube as gigahertz on-chip interconnects. Chowdhury, Z. I.; Rahaman, M. I.; and Kaiser, M. S. Frontiers Inf. Technol. Electron. Eng., 18(2): 262–271. 2017.
Electrical analysis of single-walled carbon nanotube as gigahertz on-chip interconnects [link]Paper   doi   link   bibtex  
Malicious Insider Threats in Tactical MANET: The Performace Analysis of DSR Routing Protocol. Shabut, A. M.; Dahal, K. P.; Kaiser, M. S.; and Hossain, M. A. In Wu, Y.; Min, G.; Georgalas, N.; Al-Dubi, A.; Jin, X.; Yang, L. T.; Ma, J.; and Yang, P., editor(s), 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), Exeter, United Kingdom, June 21-23, 2017, pages 390–395, 2017. IEEE Computer Society
Malicious Insider Threats in Tactical MANET: The Performace Analysis of DSR Routing Protocol [link]Paper   doi   link   bibtex  
Applications of Deep Learning and Reinforcement Learning to Biological Data. Mahmud, M.; Kaiser, M. S.; Hussain, A.; and Vassanelli, S. CoRR, abs/1711.03985. 2017.
Applications of Deep Learning and Reinforcement Learning to Biological Data [link]Paper   link   bibtex  
  2016 (4)
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. Cogn. Comput., 8(5): 946–954. 2016.
A Neuro-Fuzzy Control System Based on Feature Extraction of Surface Electromyogram Signal for Solar-Powered Wheelchair [link]Paper   doi   link   bibtex  
Energy-efficiency and reliability in MAC and routing protocols for underwater wireless sensor network: A survey. Zenia, N. Z.; Aseeri, M. A.; Ahmed, M. R.; Chowdhury, Z. I.; and Kaiser, M. S. J. Netw. Comput. Appl., 71: 72–85. 2016.
Energy-efficiency and reliability in MAC and routing protocols for underwater wireless sensor network: A survey [link]Paper   doi   link   bibtex  
PSO-NF based vertical handoff decision for ubiquitous heterogeneous wireless network(UHWN). Nurjahan; Rahman, S.; Sharma, T.; Reza, S. M.; Rahman, M. M.; and Kaiser, M. S. In 2016 International Workshop on Computational Intelligence (IWCI 2016), Dhaka, Bangladesh, December 12-13, 2016, pages 153–158, 2016. IEEE
PSO-NF based vertical handoff decision for ubiquitous heterogeneous wireless network(UHWN) [link]Paper   doi   link   bibtex  
Relay selection and beamwidth adaptation to overcome blockage in mm-wave wireless private area network. Saha, A.; Ashrafi, F.; Islam, S.; Khan, R. T.; and Kaiser, M. S. In 2016 International Workshop on Computational Intelligence (IWCI 2016), Dhaka, Bangladesh, December 12-13, 2016, pages 259–263, 2016. IEEE
Relay selection and beamwidth adaptation to overcome blockage in mm-wave wireless private area network [link]Paper   doi   link   bibtex  
  2015 (1)
Solar Powered Wheel Chair for Physically Challenged People Using Surface EMG Signal. Kaiser, M. S.; Chowdhury, Z. I.; Mamun, M. S.; Hussain, A.; and Mahmud, M. In IEEE Symposium Series on Computational Intelligence, SSCI 2015, Cape Town, South Africa, December 7-10, 2015, pages 833–836, 2015. IEEE
Solar Powered Wheel Chair for Physically Challenged People Using Surface EMG Signal [link]Paper   doi   link   bibtex  
  2012 (3)
Neuro-fuzzy-based hand-off and opportunistic spectrum access for cognitive cooperative network. Kaiser, M. S.; and Ahmed, K. M. Int. J. Commun. Networks Distributed Syst., 8(3/4): 286–306. 2012.
Neuro-fuzzy-based hand-off and opportunistic spectrum access for cognitive cooperative network [link]Paper   doi   link   bibtex  
Dynamic Radio Resource Allocation for Macro-Femto Hybrid Cellular Network Maintaining Fairness. Chowdhury, M. S. U.; Chakraborty, S.; Nipu, T. A.; and Kaiser, M. S. Netw. Commun. Technol., 1(1): 67–78. 2012.
Dynamic Radio Resource Allocation for Macro-Femto Hybrid Cellular Network Maintaining Fairness [link]Paper   doi   link   bibtex  
Interference Mitigation for OFDM-Based Joint Macro-Femto Cellular Networks. Smriti, Z. F.; Kaiser, M. S.; and Ahmed, K. M. Netw. Commun. Technol., 1(1): 103–110. 2012.
Interference Mitigation for OFDM-Based Joint Macro-Femto Cellular Networks [link]Paper   doi   link   bibtex  
  2010 (2)
Radio Resource Allocation for Heterogeneous Services in Relay Enhanced OFDMA Systems. Kaiser, M. S.; and Ahmed, K. M. J. Commun., 5(6): 447–454. 2010.
Radio Resource Allocation for Heterogeneous Services in Relay Enhanced OFDMA Systems [link]Paper   doi   link   bibtex  
Power allocation in OFDM-based cognitive relay networks. Kaiser, M. S.; Ahmed, K. M.; and Shah, R. A. In Proceedings of the IEEE International Conference on Wireless Communications, Networking and Information Security, WCNIS 2010, 25-27 June 2010, Beijing, China, pages 202–206, 2010. IEEE
Power allocation in OFDM-based cognitive relay networks [link]Paper   doi   link   bibtex