| A review on mental stress detection using wearable sensors and machine learning techniques S Gedam, S Paul IEEE Access 9, 84045-84066, 2021 | 331 | 2021 |
| Automatic stress detection using wearable sensors and machine learning: A review S Gedam, S Paul 2020 11th International Conference on Computing, Communication and …, 2020 | 33 | 2020 |
| International Conference on Computing, Communication and Networking Technologies (ICCCNT) S Gedam, S Paul IEEE, 2020 | 17 | 2020 |
| Challenges and opportunities in finger spelling recognition in air S Gedam, U Shrawankar 2017 International Conference on Innovative Mechanisms for Industry …, 2017 | 3 | 2017 |
| Machine learning and deep learning-based advanced classification techniques for the detection of major depressive disorder A Chatterjee, P Bala, S Gedam, S Paul, N Goyal Aslib Journal of Information Management 76 (6), 938-973, 2024 | 2 | 2024 |
| Machine-Learning-Enabled Stress Detection in Indian Housewives Using Wearable Physiological Sensors S Gedam, S Paul AI-Driven IoT Systems for Industry 4.0, 289-303, 2024 | 1 | 2024 |
| Multi-sensor Data Fusion and Deep Machine Learning Models-Based Mental Stress Detection System S Gedam, S Paul International Conference on Advances in Data-driven Computing and …, 2023 | 1 | 2023 |
| Multi-deep learning models based analysis for classification of thunderstorms on meteorological dataset over Ranchi region K Bala, DK Choubey, S Gedam, M Aknan Engineering Research Express, 2025 | | 2025 |
| Advancing Mental Stress Detection in Indian Housewives: A Deep Learning Approach with Wearable Physiological Sensors and Feature Selection Methods S Gedam, S Dutta, R Jha | | 2024 |
| Finger Spelling in Air System for Deaf and Dumb U Shrawankar, S Gedam International Journal of Technology Diffusion (IJTD) 9 (1), 28-44, 2018 | | 2018 |