| Classification of cross task cognitive workload using deep recurrent network with modelling of temporal dynamics SS Gupta, TJ Taori, MY Ladekar, RR Manthalkar, SS Gajre, YV Joshi Biomedical Signal Processing and Control 70, 103070, 2021 | 17 | 2021 |
| Classification of visual cognitive workload using analytic wavelet transform SS Gupta, RR Manthalkar Biomedical Signal Processing and Control 61, 101961, 2020 | 16 | 2020 |
| Addressing architectural distortion in mammogram using AlexNet and support vector machine AV Vedalankar, SS Gupta, RR Manthalkar Informatics in Medicine Unlocked 23, 100551, 2021 | 14 | 2021 |
| Mindfulness intervention for improving cognitive abilities using EEG signal SS Gupta, RR Manthalkar, SS Gajre Biomedical Signal Processing and Control 70, 103072, 2021 | 11 | 2021 |
| EEG based visual cognitive workload analysis using multirate IIR filters MY Ladekar, SS Gupta, YV Joshi, RR Manthalkar Biomedical Signal Processing and Control 68, 102819, 2021 | 11 | 2021 |
| Cross-task cognitive load classification with identity mapping-based distributed CNN and attention-based RNN using gabor decomposed data images T Taori, S Gupta, S Bhagat, S Gajre, R Manthalkar IETE Journal of Research, 1-17, 2022 | 6 | 2022 |
| Cognitive workload classification: Towards generalization through innovative pipeline interface using HMM TJ Taori, SS Gupta, SS Gajre, RR Manthalkar Biomedical Signal Processing and Control 78, 104010, 2022 | 4 | 2022 |
| Suppression of impulse noise using adaptive filters S Gupta, R Manthalkar, S Gajre Computing in Cardiology 2013, 527-530, 2013 | 3 | 2013 |
| Detection of motor activity in visual cognitive task using autoregressive modelling and deep recurrent network SS Gupta, RR Manthalkar Pattern Recognition and Data Analysis with Applications, 371-381, 2022 | 1 | 2022 |
Yashwant JoshiSGGS Institute of Engineering and Technology, Vishnupuri, NandedVerified email at sggs.ac.in
