O. Saha, M. S. Mahmud, S. A. Fattah, M. Saquib, “Automatic Emotion Recognition from Multi‐Band EEG Data Based on a Deep Learning Scheme with Effective Channel Attention,” In IEEE Access, vol. 11, pp. 2342-2350, 2023, doi: 10.1109/ACCESS.2022.3224725. (Impact Factor: 3.9)
M. S. Mahmud, M. M. R. Nayan, S. Hasan, M. N. A. Taj, (2022, December). “A Deep Ensemble Model with an Efficient Feature for Multi‐class Arrhythmia Classification Utilizing 12‐Lead ECG Signal,” In 2022 12th International Conference on Electrical and Computer Engineering (ICECE) (pp. 48-51). IEEE.
M. S. Mahmud, O. Saha, S. A. Fattah, (2022, December). “An Efficient Bidirectional LSTM‐Based Deep Neural Network for Automatic Emotion Recognition Using EEG Signal,” In 2022 12th International Conference on Electrical and Computer Engineering (ICECE) (pp. 417-420). IEEE.
O. Saha, M. S. Mahmud, S. A. Fattah, “DEEPSATTNET: An Efficient Deep Neural Network with Self‐ Attention Mechanism for Emotion Recognition Utilizing EEG Signal,” In 2022 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE) (pp. 275-279). IEEE. ‐ Best Technical Presentation Award
Important Links