Research & Publications
Publications by the academic staff of Kishoreganj University — journal articles, conference papers, books and funded projects.
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An Efficient Machine Learning Framework for Panic Disorder Detection: Addressing Data Imbalance with SMOTE to Reduce False Negatives
2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), Chittagong, Bangladesh, 2025, pp. 1-6
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Predicting Insomnia Using Multilayer Stacked Ensemble Model
in Advances in Computing and Data Sciences, vol. 1440, M. Singh, V. Tyagi, P. K. Gupta, J. Flusser, T. Ören, and V. R. Sonawane, Eds. Cham: Springer International Publishing, 2021, pp. 338–350
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A Robust Deep Learning Approach for Automated Cardiovascular Disease Diagnosis Using ECG Image Analysis
2025 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON), Dhaka, Bangladesh, 2025, pp. 405-410
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Sentiment Analysis Based on Users’ Emotional Reactions About Ride-Sharing Services on Facebook and Twitter
in Proceedings of International Joint Conference on Computational Intelligence, M. S. Uddin and J. C. Bansal, Eds. Singapore: Springer Singapore, 2020, pp. 397–408
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DeepLungBalance: Addressing Class Imbalance in Deep Learning-Based Lung Cancer Detection with Explainable AI and Prototype Deployment
2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN), Chittagong, Bangladesh, 2026, pp. 1-6
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Feature Ranking Based Carrot Disease Recognition Using MIFS Method
in Hybrid Intelligent Systems, vol. 420, A. Abraham, P. Siarry, V. Piuri, N. Gandhi, G. Casalino, O. Castillo, and P. Hung, Eds. Cham: Springer International Publishing, 2022, pp. 56–68
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A Comprehensive Study of Microservices Architecture in Comparison with SOA and Monolithic Models
2025 2nd International Conference on Advanced Innovations in Smart Cities (ICAISC), Jeddah, Saudi Arabia, 2025, pp. 1-6
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A Comprehensive Review of Machine Learning and Deep Learning Techniques for Rice Leaf Disease Classification
In: Das, A.K., Nayak, J., Naik, B., Himabindu, M., Vimal, S., Pelusi, D. (eds) Computational Intelligence in Pattern Recognition. CIPR 2024. Lecture Notes in Networks and Systems, vol 1152. Springer, Singapore
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