| Machine learning algorithms to predict wear behavior of modified ZA-27 alloy under varying operating parameters V Algur, P Hulipalled, V Lokesha, M Nagaral, V Auradi Journal of Bio-and Tribo-Corrosion 8, 1-10, 2022 | 15 | 2022 |
| An approach of data science for the prediction of wear behaviour of hypereutectoid steel P Hulipalled, V Algur, V Lokesha Journal of Bio-and Tribo-Corrosion 8 (3), 69, 2022 | 6 | 2022 |
| Analysis of wear behaviour of a heat treated modified ZA-27 alloy by Taguchi technique V Algur, VR Kabadi, SM Ganechari, P Hulipalled International Journal on Recent and Innovation Trends in Computing and …, 2014 | 6 | 2014 |
| Interpretable ensemble machine learning framework to predict wear rate of modified ZA-27 alloy P Hulipalled, V Algur, V Lokesha, S Saumya Tribology International 188, 108783, 2023 | 2 | 2023 |
| Intelligent retrieval of wear rate prediction for hypereutectoid steel P Hulipalled, V Algur, V Lokesha, S Saumya Multiscale and Multidisciplinary Modeling, Experiments and Design 6 (4), 629-641, 2023 | 1 | 2023 |
| Optimized machine learning algorithms to predict wear behavior of tribo-informatics P Hulipalled, V Lokesha | 1 | 2022 |
| Wear behaviour of modified ZA-27 alloy: a statistical analysis. P Hulipalled, V Algur, V Lokesha, S Naveen Journal of Mines, Metals & Fuels 70, 2022 | | 2022 |
| Multi Criteria Optimization in Drilling Process of Glass Fibre Reinforced Polymer Using Grey Based Taguchi Analysis V Algur, VR Chavan, C Thotappa, B Latha, P Hulipalled, V Lokesha International Journal of Manufacturing and Materials Processing 8 (2), 6-16, 2022 | | 2022 |
