| Support vector regression method for predicting temperatures of heat sources cooled by forced convection in a horizontal channel S Durgam, A Bhosale, V Bhosale, R Deshpande, P Sutar Thermal Science and Engineering Progress 20, 100725, 2020 | 19 | 2020 |
| Temperature prediction of heat sources using machine learning techniques S Durgam, A Bhosale, V Bhosale, R Deshpande, P Sutar, S Kamble Heat Transfer 50 (8), 7817-7838, 2021 | 10 | 2021 |
| Thermal aspect of material selection for substrate board equipped with high heat flux IC chips S Durgam, A Bhosale, V Bhosale, R Deshpande, P Sutar IOP Conference Series: Materials Science and Engineering 1091 (1), 012005, 2021 | 5 | 2021 |
| Effective computational approach for optimization of temperature on printed circuit board S Durgam, A Bhosale, V Bhosale, R Deshpande, P Sutar, S Kamble Journal of The Institution of Engineers (India): Series C 103 (4), 763-776, 2022 | 4 | 2022 |
| Ensemble learning for predicting temperature of heat sources for minimizing electronic failures S Durgam, A Bhosale, V Bhosale, R Deshpande, P Sutar, S Kamble 2021 4th Biennial International Conference on Nascent Technologies in …, 2021 | 2 | 2021 |
| XG Boost Algorithm for Temperature prediction of IC chips: A Machine Learning Approach S Durgam, A Bhosale, V Bhosale, R Deshpande, P Sutar, S Kamble | | |
