| An insight into diagnosis of depression using machine learning techniques: a systematic review S Bhadra, CJ Kumar Current medical research and opinion 38 (5), 749-771, 2022 | 58 | 2022 |
| Enhancing the efficacy of depression detection system using optimal feature selection from EHR S Bhadra, CJ Kumar Computer methods in biomechanics and biomedical engineering 27 (2), 222-236, 2024 | 23 | 2024 |
| Study on feature extraction of speech emotion recognition S Bhadra, U Sharma, A Choudhury ADBU Journal of Engineering Technology 4, 2016 | 6 | 2016 |
| Neural Networks and Their Applications S Joshi, A Gera, S Bhadra Evolving Networking Technologies: Developments and Future Directions, 211-228, 2023 | 3 | 2023 |
| Multiview EEG signal analysis for diagnosis of schizophrenia: an optimized deep learning approach S Bhadra, CJ Kumar, DK Bhattacharyya Multimedia Tools and Applications, 1-32, 2024 | 1 | 2024 |
| Analysis of Tumor Detection Methods for Mammogram Images S Bhadra International Journal of Computer Sciences and Engineering 7 (5), 431-435, 2019 | 1 | 2019 |
| An Efficient Entropy Based Approach for the Detection of DDOS Attack A Singh, KP Kalita, S Bhadra International Journal of Scientific Research in Science, Engineering and …, 2018 | 1 | 2018 |
| Optimizing Depression Detection System Using EHR Feature Selection A Gera, R Rani Sharma, S Kumar, A Kumar, S Bhadra International Journal of Computing and Digital Systems 17 (1), 1-15, 2024 | | 2024 |
| Automatic Schizophrenia Detection Using Discrete Wavelet Transform from EEG Signal S Bhadra, CJ Kumar NIELIT's International Conference on Communication, Electronics and Digital …, 2024 | | 2024 |
| Fundamentals of Image Compression Techniques S Bhadra, M Sharma, UM Sharma | | |
Chandan Jyoti KumarAsst professor, cotton universityכתובת אימייל מאומתת בדומיין cottonuniversity.ac.in