Autocorrelation aided random forest classifier-based bearing fault detection framework SS Roy, S Dey, S Chatterjee IEEE Sensors Journal 20 (18), 10792-10800, 2020 | 132 | 2020 |
Detection of focal EEG signals employing weighted visibility graph S Modak, SS Roy, K Samanta, S Chatterjee, S Dey, R Bhowmik, R Bose 2020 International Conference on Computer, Electrical & Communication …, 2020 | 12 | 2020 |
Hand movement recognition using cross spectrum image analysis of EMG signals-A deep learning approach SS Roy, K Samanta, S Chatterjee, S Dey, A Nandi, R Bhowmik, S Mondal 2020 national conference on emerging trends on sustainable technology and …, 2020 | 10 | 2020 |
Autocorrelation based feature extraction for bearing fault detection in induction motors S Dey, SS Roy, K Samanta, S Modak, S Chatterjee 2019 International Conference on Electrical, Electronics and Computer …, 2019 | 6 | 2019 |
BharatBhasaNet-A unified framework to identify Indian code mix Languages S Dey, S Thakur, A Kandwal, R Kumar, S Dasgupta, PP Roy IEEE Access, 2024 | 3 | 2024 |
Bearing fault detection in induction motors employing difference visibility graph SS Roy, S Chatterjee, R Barman, S Roy, S Dey 2020 IEEE International Conference on Power Electronics, Drives and Energy …, 2020 | 3 | 2020 |
DrowzEE-G-Mamba: Leveraging EEG and State Space Models for Driver Drowsiness Detection G Siddhad, S Dey, PP Roy arXiv preprint arXiv:2408.16145, 2024 | | 2024 |
Awake at the Wheel: Enhancing Automotive Safety through EEG-Based Fatigue Detection G Siddhad, S Dey, PP Roy, M Iwamura arXiv preprint arXiv:2408.13929, 2024 | | 2024 |