| Classification of depression patients and normal subjects based on electroencephalogram (EEG) signal using alpha power and theta asymmetry S Mahato, S Paul Journal of medical systems 44 (1), 28, 2020 | 165 | 2020 |
| Detection of major depressive disorder using linear and non-linear features from EEG signals S Mahato, S Paul Microsystem Technologies 25 (3), 1065-1076, 2019 | 146 | 2019 |
| Detection of depression and scaling of severity using six channel EEG data S Mahato, N Goyal, D Ram, S Paul Journal of medical systems 44 (7), 118, 2020 | 107 | 2020 |
| Electroencephalogram (EEG) signal analysis for diagnosis of major depressive disorder (MDD): a review S Mahato, S Paul Nanoelectronics, Circuits and Communication Systems: Proceeding of NCCS 2017 …, 2018 | 88 | 2018 |
| Computer aided detection of major depressive disorder (MDD) using electroencephalogram signals AO Khadidos, KH Alyoubi, S Mahato, AO Khadidos, SN Mohanty IEEE Access 11, 41133-41141, 2023 | 26 | 2023 |
| Machine Learning and Electroencephalogram Signal based Diagnosis of Depression AO Khadidos, KH Alyoubi, S Mahato, AO Khadidos, SN Mohanty Neuroscience Letters, 137313, 2023 | 22 | 2023 |
| Analysis of region of interest (RoI) of brain for detection of depression using EEG signal S Mahato, S Paul Multimedia Tools and Applications, 1-24, 2023 | 21 | 2023 |
| Detection of schizophrenia using eeg signals S Mahato, LK Pathak, K Kumari Data Analytics in Bioinformatics: A Machine Learning Perspective, 359-390, 2021 | 19 | 2021 |
| 3EDANFIS: Three channel EEG-based depression detection technique with hybrid adaptive neuro fuzzy inference system S Mahato, S Paul, N Goyal, SN Mohanty, S Jain Recent Patents on Engineering 17 (6), 32-48, 2023 | 18 | 2023 |
| A faster genetic algorithm to solve Knapsack problem employing fuzzy technique S Mahato, S Biswas 2013 Fourth International Conference on Computing, Communications and …, 2013 | 11 | 2013 |
| Prediction of learner’s performance in adaptive e-learning system using learning analytics S Sweta, S Mahato, LK Pathak IOP Conference Series: Materials Science and Engineering 1049 (1), 012006, 2021 | 10 | 2021 |
| Investigating the impact of Mahā Mantra chanting on anxiety and depression: An EEG Rhythm Analysis Approach SN Mohanty, S Satpathy, R Chopra, S Mahato Advances in Integrative Medicine 11 (2), 74-83, 2024 | 9 | 2024 |
| Unusual crystallographic ordering of two neighbouring elements-Cd and In in Cd2Cu3In, the first example in ternary Laves phase S Misra, B Koley, S Mahato, F Wang, PP Jana Journal of Alloys and Compounds 844, 156054, 2020 | 8 | 2020 |
| AR/VR technology for autonomous vehicles and knowledge-based risk assessment S Shanu, D Narula, Nayana, LK Pathak, S Mahato Virtual and Augmented Reality for Automobile Industry: Innovation Vision and …, 2022 | 7 | 2022 |
| Artificial Intelligence Based Solutions for Industrial Applications P Jha, S Mahato, PK Jana, S Maurya, I Chihi CRC Press, 2024 | 4 | 2024 |
| Wearable smart technologies: changing the future of healthcare S Mahato, LK Pathak, S Sweta, DK Choubey Machine Learning in Healthcare and Security, 130-148, 2024 | 3 | 2024 |
| Soft Computing Approaches for Ovarian Cancer: A Review DK Choubey, A Choubey, S Mahto, V Soni GMSARN International Journal 18, 223-239, 2024 | 3 | 2024 |
| A novel dataset and local interpretable model-agnostic explanations (LIME) for monkeypox prediction N Sharma, SN Mohanty, S Mahato, CR Pattanaik Intelligent Decision Technologies 17 (4), 1297-1308, 2023 | 3 | 2023 |
| Technological dimension of a smart city LK Pathak, S Mahato, S Sweta Smart City Infrastructure: The Blockchain Perspective, 247-268, 2022 | 2 | 2022 |
| Analysis of Electroencephalogram (EEG) Signals for Detection of Major Depressive Disorder (MDD) Using Feature Selection and Reduction Techniques S Mahato, A Roy, A Verma, S Paul Nanoelectronics, Circuits and Communication Systems: Proceeding of NCCS 2019 …, 2020 | 2 | 2020 |
