| Comparison of modeling methods for wind power prediction: a critical study RP Shetty, A Sathyabhama, PS Pai Frontiers in Energy 14 (2), 347-358, 2020 | 27 | 2020 |
| An efficient online sequential extreme learning machine model based on feature selection and parameter optimization using cuckoo search algorithm for multi-step wind speed … RP Shetty, A Sathyabhama, PS Pai Soft Computing 25, 1277-1295, 2021 | 23 | 2021 |
| Optimized radial basis function neural network model for wind power prediction RP Shetty, A Sathyabhama, AA Rai 2016 second international conference on cognitive computing and information …, 2016 | 23 | 2016 |
| Forecasting of COVID 19 cases in Karnataka state using artificial neural network (ANN) RP Shetty, PS Pai Journal of The Institution of Engineers (India): Series B 102 (6), 1201-1211, 2021 | 19 | 2021 |
| Surface roughness modeling in high speed turning of Ti-6Al-4V–Artificial Neural Network approach G D'Mello, PS Pai, RP Shetty Materials Today: Proceedings 4 (8), 7654-7664, 2017 | 11 | 2017 |
| Studies on mechanical behaviour and tensile fractography of boron carbide particles reinforced Al8081 alloy advanced metal composites RP Shetty, TS Mahesh, Z Ali, G Veeresha, M Nagaral Materials Today: Proceedings 52, 2115-2120, 2022 | 8 | 2022 |
| Performance and emission modeling of a 4-stroke diesel engine with biodiesel extracts from waste cooking oil blends with ZnO nanoparticle using ELM G Santhosh, RP Shetty, DK MJ, GR Manasa Materials Today: Proceedings 52, 1935-1941, 2022 | 6 | 2022 |
| Tribological properties of CNT-filled epoxy-carbon fabric composites: Optimization and modelling by machine learning MD Kiran, LY BR, A Babbar, R Kumar, SC HS, RP Shetty, KB Sudeepa, ... Journal of Materials Research and Technology 28, 2582-2601, 2024 | 5 | 2024 |
| Wind power optimization: a comparison of meta-heuristic algorithms RP Shetty, A Sathyabhama, PS Pai IOP Conference Series: Materials Science and Engineering 376 (1), 012021, 2018 | 5 | 2018 |
| Realtime forecasting of COVID 19 cases in Karnataka state using Artificial neural network (ANN) RP Shetty | 3 | 2020 |
| Use of Radial Basis Function Neural Network for Bearing Pressure Prediction of Strip Footing on Reinforced Granular Bed Overlying Weak Soil K Shetty, R Shivashankar, RP Shetty World Acad. Sci. Eng. Technol. Int. J. Civ. Environ. Struct. Constr. Archit …, 2012 | 2 | 2012 |
| Efficient modelling and simulation of wind power using online sequential learning algorithm for feed forward networks RP Shetty, A Sathyabhama Journal of Mechanical Engineering Research & Developments (JMERD) 42 (1 …, 2019 | 1 | 2019 |
| Radial basis function neural network (RBFNN) based prediction of performance and emission characteristics in a dual spark plug SI engine RP Shetty, N Bailkeri, SP Pai, SB Rao In proceedings of International Conference on challenges and opportunities …, 2012 | 1 | 2012 |
| Effect of B4C Particles Addition on the Mechanical, Tensile Fracture and Wear Behavior of Al7075 Alloy Composites RP Shetty, TH Raju, M Nagaral, N Kumar, V Auradi Journal of Bio-and Tribo-Corrosion 10 (2), 32, 2024 | | 2024 |
| Analysis of Mechanical Properties of Casted Aluminium Alloy for Automotive Safety Application Sourav, S Patil, N Chandra, N Kumar, D Kumar, RP Shetty Engineering Proceedings 59 (1), 157, 2024 | | 2024 |
| Experimental investigation and Artificial Neural Network modelling of combustion pressure parameters of dual spark plug SI engine S Shetty, RP Shetty, BRS Rao Materials Today: Proceedings 92, 189-201, 2023 | | 2023 |
| Online Sequential Extreme learning machine-based hybrid model for forecasting of COVID-19 cases in India RP Shetty, PS Pai 2022 International Conference on Distributed Computing, VLSI, Electrical …, 2022 | | 2022 |
| Design and development of an automatic dry waste segregator for household and institutional wastes RR Pai, PJ Bangera, MM Shaikh, P Prajwal, RP Shetty Materials Today: Proceedings 52, 1048-1054, 2022 | | 2022 |
| Tool Wear Modeling in Face Milling Using Acoustic Emission-Artificial Neural Network Approach PS Pai, RP Shetty Manufacturing Technology Today, 18-27, 2016 | | 2016 |
