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  2022 (3)
Investigation on Heart Attack Prediction Based on the Different Machine Learning Approaches. Bokshi, L. R.; Al Banna, M.; Ghosh, T.; Al Nahian, M.; Kaiser, M S.; and others In Rhythms in Healthcare, pages 95–108. Springer, Singapore, 2022.
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A Hybrid Deep Learning Approach to Detect Bangla Social Media Hate Speech. Ghosh, T.; Chowdhury, A. A. K.; Banna, M.; Al, H.; Nahian, M.; Al, J.; Kaiser, M S.; and Mahmud, M. In Proceedings of International Conference on Fourth Industrial Revolution and Beyond 2021, pages 711–722, 2022. Springer
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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,119007. 2022.
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  2021 (6)
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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Contactless fall detection for the elderly. Nahian, M; Raju, M. H.; Tasnim, Z.; Mahmud, M.; Ahad, M. A. R.; and Kaiser, M S. In Contactless Human Activity Analysis, pages 203–235. Springer, Cham, 2021.
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Social group optimized machine-learning based elderly fall detection approach using interdisciplinary time-series features. Al Nahian, M. J.; Ghosh, T.; Al Banna, M. H.; Uddin, M. N.; Islam, M. M.; Taher, K. A.; and Kaiser, M S. In 2021 international conference on information and communication technology for sustainable development (icict4sd), pages 321–325, 2021. IEEE
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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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A Hybrid Deep Learning Model to Predict the Impact of COVID-19 on Mental Health form Social Media Big Data. Ghosh, T.; Al Banna, M. H.; Al Nahian, M. J.; Taher, K. A.; Kaiser, M S.; and Mahmud, M. . 2021.
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An Attention-Based Mood Controlling Framework for Social Media Users. Ghosh, T.; Banna, M.; Al, H.; Angona, T. M.; Nahian, M.; Al, J.; Uddin, M. N.; Kaiser, M S.; and Mahmud, M. In International Conference on Brain Informatics, pages 245–256, 2021. Springer
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  2020 (2)
Towards artificial intelligence driven emotion aware fall monitoring framework suitable for elderly people with neurological disorder. Nahian, M; Ghosh, T.; Uddin, M. N.; Islam, M.; Mahmud, M.; Kaiser, M S.; and others In International Conference on Brain Informatics, pages 275–286, 2020. Springer, Cham
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Towards Artificial Intelligence Driven Emotion Aware Fall Monitoring Framework Suitable for Elderly People with Neurological Disorder. Islam, M. M.; Mahmud, M.; and Kaiser, M S. In Brain Informatics: 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings, volume 12241, pages 275, 2020. Springer Nature
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  2019 (1)
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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