| Recent advances in neuro-fuzzy system: A survey KV Shihabudheen, GN Pillai Knowledge-Based Systems 152, 136-162, 2018 | 274 | 2018 |
| Analytical modeling of TCSC dynamics D Jovcic, GN Pillai IEEE transactions on power delivery 20 (2), 1097-1104, 2005 | 188 | 2005 |
| Reinforcement learning algorithms: A brief survey AK Shakya, G Pillai, S Chakrabarty Expert Systems with Applications 231, 120495, 2023 | 153 | 2023 |
| SVM based decision support system for heart disease classification with integer-coded genetic algorithm to select critical features S Bhatia, P Prakash, GN Pillai Proceedings of the world congress on engineering and computer science, 34-38, 2008 | 144 | 2008 |
| Design and implementation of type-2 fuzzy logic controller for DFIG-based wind energy systems in distribution networks SK Raju, GN Pillai IEEE Transactions on Sustainable Energy 7 (1), 345-353, 2015 | 112 | 2015 |
| Dynamic model of microturbine generation system for grid connected/islanding operation DN Gaonkar, RN Patel, GN Pillai 2006 IEEE International Conference on Industrial Technology, 305-310, 2006 | 83 | 2006 |
| Prediction of landslide displacement with controlling factors using extreme learning adaptive neuro-fuzzy inference system (ELANFIS) KV Shihabudheen, GN Pillai, B Peethambaran Applied Soft Computing 61, 892-904, 2017 | 71 | 2017 |
| Torsional interaction studies on a power system compensated by SSSC and fixed capacitor GN Pillai, A Ghosh, A Joshi IEEE transactions on power delivery 18 (3), 988-993, 2003 | 67 | 2003 |
| Prediction of ground motion parameters using randomized ANFIS (RANFIS) S Thomas, GN Pillai, K Pal, P Jagtap Applied Soft Computing 40, 624-634, 2016 | 66 | 2016 |
| Prediction of peak ground acceleration using ϵ-SVR, ν-SVR and Ls-SVR algorithm S Thomas, GN Pillai, K Pal Geomatics, Natural Hazards and Risk 8 (2), 177-193, 2017 | 65 | 2017 |
| Momentum analysis based stock market prediction using adaptive neuro-fuzzy inference system (anfis) S Agrawal, M Jindal, GN Pillai Proceedings of the international multiconference of engineers and computer …, 2010 | 59 | 2010 |
| Regularized extreme learning adaptive neuro-fuzzy algorithm for regression and classification KV Shihabudheen, GN Pillai Knowledge-Based Systems 127, 100-113, 2017 | 50 | 2017 |
| Torsional oscillation studies in an SSSC compensated power system GN Pillai, A Ghosh, A Joshi Electric Power Systems Research 55 (1), 57-64, 2000 | 50 | 2000 |
| Design and real time implementation of type-2 fuzzy vector control for DFIG based wind generators SK Raju, GN Pillai Renewable Energy 88, 40-50, 2016 | 46 | 2016 |
| Seamless transfer of microturbine generation system operation between grid-connected and islanding modes DN Gaonkar, GN Pillai, RN Patel Electric Power Components and Systems 37 (2), 174-188, 2009 | 46 | 2009 |
| Particle swarm optimization based extreme learning neuro-fuzzy system for regression and classification KV Shihabudheen, M Mahesh, GN Pillai Expert Systems with Applications 92, 474-484, 2018 | 43 | 2018 |
| Control for grid‐connected DFIG‐based wind energy system using adaptive neuro‐fuzzy technique KV Shihabudheen, SK Raju, GN Pillai International transactions on electrical energy systems 28 (5), e2526, 2018 | 38 | 2018 |
| Comparison of extreme-ANFIS and ANFIS networks for regression problems P Jagtap, GN Pillai 2014 IEEE International Advance Computing Conference (IACC), 1190-1194, 2014 | 38 | 2014 |
| Extreme learning ANFIS for control applications GN Pillai, J Pushpak, MG Nisha 2014 IEEE Symposium on Computational Intelligence in Control and Automation …, 2014 | 31 | 2014 |
| K-Means clustering based Extreme Learning ANFIS with improved interpretability for regression problems CP Pramod, GN Pillai Knowledge-Based Systems 215, 106750, 2021 | 30 | 2021 |
BIJU GMIndian Institute of Technology RoorkeeEmail verificata su ee.iitr.ac.in