| Review on methods to fix number of hidden neurons in neural networks KG Sheela, SN Deepa Mathematical problems in engineering 2013 (1), 425740, 2013 | 1121 | 2013 |
| Neural network based hybrid computing model for wind speed prediction KG Sheela, SN Deepa Neurocomputing 122, 425-429, 2013 | 105 | 2013 |
| Selection of number of hidden neurons in neural networks in renewable energy systems KG Sheela, SN Deepa NISCAIR-CSIR, India, 2014 | 47 | 2014 |
| Machine learning based health monitoring system KG Sheela, AR Varghese Materials Today: Proceedings 24, 1788-1794, 2020 | 36 | 2020 |
| An intelligent computing model for wind speed prediction in renewable energy systems SN Deepa Procedia Engineering 30, 380-385, 2012 | 25 | 2012 |
| Performance analysis of modeling framework for prediction in wind farms employing artificial neural networks K Gnana Sheela, SN Deepa Soft Computing 18, 607-615, 2014 | 23 | 2014 |
| Review of PV fed water pumping systems using BLDC Motor R Nisha, KG Sheela Materials Today: Proceedings 24, 1874-1881, 2020 | 22 | 2020 |
| Review of reduced‐switch multilevel inverters for electric vehicle applications V Aishwarya, K Gnana Sheela International Journal of Circuit Theory and Applications 49 (9), 3053-3110, 2021 | 18 | 2021 |
| A review on neural network models for wind speed prediction KG Sheela, SN Deepa Wind Engineering 37 (2), 111-123, 2013 | 16 | 2013 |
| An efficient hybrid neural network model in renewable energy systems KG Sheela, SN Deepa 2012 IEEE International Conference on Advanced Communication Control and …, 2012 | 16 | 2012 |
| Computing models for wind speed prediction in renewable energy systems K Gnana Sheela IJCA Special Issue on Computational Science—New Dimensions & Perspectives 3 …, 2011 | 16 | 2011 |
| A new algorithm to find number of hidden neurons in Radial Basis Function Networks for wind speed prediction in renewable energy systems KG Sheela, SN Deepa Journal of Control Engineering and Applied Informatics 15 (3), 30-37, 2013 | 14 | 2013 |
| Analysis of computing algorithm using momentum in neural networks KG Sheela, S Deepa Journal of computing 2, 2011 | 13 | 2011 |
| An improved sepic-based single switch buck-boost pfc converter fed brushless dc motor drive MM Akhil, V Aishwarya, KG Sheela Materials Today: Proceedings 24, 1855-1864, 2020 | 10 | 2020 |
| Review on bio-inspired modular robotic system KG Sheela, PJ Menon, S Swetha, CM Vandana, R Mendez Materials Today: Proceedings 24, 1918-1923, 2020 | 7 | 2020 |
| Performance analysis of Buck-Boost and Cuk converter-fed brushless DC motor drives V Aishwarya, KG Sheela Materials Today: Proceedings 24, 1865-1873, 2020 | 5 | 2020 |
| A survey on various algorithms used for elliptic curve cryptography C Thomas, G Sheela, S Krishnan Int. J. Comput. Sci. Inform. Technol 5, 7296-7301, 2014 | 5 | 2014 |
| An efficient computing model for renewable energy systems KG Sheela, SN Deepa 2012 International Conference on Computing, Electronics and Electrical …, 2012 | 5 | 2012 |
| Metaheuristic Algorithm Based Maximum Power Point Tracking Technique Combined With One Cycle Control For Solar Photovoltaic Water Pumping Systems G Sheela K Frontiers in Energy Research 10, 902443, 2022 | 4 | 2022 |
| Topologies and comparative analysis of reduced switch multilevel inverters for renewable energy applications V Aishwarya, K Gnana Sheela Power Electronics for Green Energy Conversion, 221-264, 2022 | 4 | 2022 |
