TumorGANet: A Transfer Learning and Generative Adversarial Network-based Data Augmentation Model for Brain Tumor Classification A Nag, H Mondal, MM Hassan, T Al-Shehari, M Kadrie, M Al-Razgan, ... IEEE Access, 2024 | 7 | 2024 |
Emotion Decoding: An Extensive Examination of Electroencephalogram Signals Using Explainable Machine Learning A Nag, H Mondal, SRR Kabir, MR Islam, ME Ahmed, SMH Jamil 2024 6th International Conference on Electrical Engineering and Information …, 2024 | 2 | 2024 |
Transcending Boundaries: Assessing Transfer Learning’s Effectiveness in ECG-Based Heart Disease Prediction A Nag, H Mondal, MM Hassan, P Saha Soft Computing in Industry 5.0 for Sustainability, 159-175, 2024 | | 2024 |
Diabalance ML H Mondal, S Siddika, A Nag, AK Bairagi Industry 6.0: Technology, Practices, Challenges, and Applications, 228, 2024 | | 2024 |
Identification of Lung Cancer Using Particle Swarm Optimization and Machine Learning Technique SRR Kabir, H Mondal, A Nag, SMH Jamil, P Das Proceedings of Trends in Electronics and Health Informatics: TEHI 2023, 421, 2024 | | 2024 |
Diabalance ML: Enhancing diabetes detection performance through dataset balancing strategies H Mondal, S Siddika, A Nag, AK Bairagi Industry 6.0, 228-247, 2024 | | 2024 |
The Integration of Federated Deep Learning with Internet of Things in Healthcare H Mondal, MM Hassan, A Nag, AK Bairagi Federated Deep Learning for Healthcare, 143-159, 2024 | | 2024 |
Unveiling the Essence of Digital Twins: A Comprehensive Study on Digital Twins for Future Innovation H Mondal, S Siddika, A Nag, R Sil Exploring the Advancements and Future Directions of Digital Twins in …, 2024 | | 2024 |