| Prediction of optimized pretreatment process parameters for biodiesel production using ANN and GA M Rajendra, PC Jena, H Raheman Fuel 88 (5), 868-875, 2009 | 222 | 2009 |
| Biodiesel production from mixture of mahua and simarouba oils with high free fatty acids PC Jena, H Raheman, GVP Kumar, R Machavaram Biomass and bioenergy 34 (8), 1108-1116, 2010 | 192 | 2010 |
| Injection molding process optimization of a bi-aspheric lens using hybrid artificial neural networks (ANNs) and particle swarm optimization (PSO) RJ Bensingh, R Machavaram, SR Boopathy, C Jebaraj Measurement 134, 359-374, 2019 | 121 | 2019 |
| Predicting the draught requirement of tillage implements in sandy clay loam soil using an artificial neural network AK Roul, H Raheman, MS Pansare, R Machavaram Biosystems engineering 104 (4), 476-485, 2009 | 71 | 2009 |
| Diversified aeration facilities for effective aquaculture systems—a comprehensive review SM Roy, J P, R Machavaram, CM Pareek, BC Mal Aquaculture International 29, 1181-1217, 2021 | 51 | 2021 |
| Optimizing the seed-cell filling performance of an inclined plate seed metering device using integrated ANN-PSO approach CM Pareek, VK Tewari, R Machavaram, B Nare Artificial Intelligence in Agriculture 5, 1-12, 2021 | 50 | 2021 |
| Image-to-image translation-based data augmentation for improving crop/weed classification models for precision agriculture applications LG Divyanth, DS Guru, P Soni, R Machavaram, M Nadimi, J Paliwal Algorithms 15 (11), 401, 2022 | 35 | 2022 |
| An image processing approach for measurement of chili plant height and width under field conditions C Gupta, VK Tewari, R Machavaram, P Shrivastava Journal of the Saudi Society of Agricultural Sciences 21 (3), 171-179, 2022 | 35 | 2022 |
| Joint damage identification using Improved Radial Basis Function (IRBF) networks in frequency and time domain R Machavaram, K Shankar Applied Soft Computing 13 (7), 3366-3379, 2013 | 32 | 2013 |
| Performance of a diesel engine with water emulsified diesel prepared with optimized process parameters N Kumar, H Raheman, R Machavaram International Journal of Green Energy 16 (9), 687-701, 2019 | 30 | 2019 |
| Optimizing the aeration performance of a perforated pooled circular stepped cascade aerator using hybrid ANN-PSO technique SM Roy, CM Pareek, R Machavaram, CK Mukherjee Information Processing in Agriculture 9 (4), 533-546, 2022 | 28 | 2022 |
| Multi-objective optimization of seeding performance of a pneumatic precision seed metering device using integrated ANN-MOPSO approach CM Pareek, VK Tewari, R Machavaram Engineering Applications of Artificial Intelligence 117, 105559, 2023 | 23 | 2023 |
| System identification of a composite plate using hybrid response surface methodology and particle swarm optimization in time domain PA Sankar, R Machavaram, K Shankar Measurement 55, 499-511, 2014 | 19 | 2014 |
| Detection of coconut clusters based on occlusion condition using attention-guided faster R-CNN for robotic harvesting LG Divyanth, P Soni, CM Pareek, R Machavaram, M Nadimi, J Paliwal Foods 11 (23), 3903, 2022 | 17 | 2022 |
| Economic feasibility study of aerators in aquaculture using life cycle costing (LCC) approach SM Roy, R Machavaram, S Moulick, CK Mukherjee Journal of Environmental Management 302, 114037, 2022 | 17 | 2022 |
| Structural damage identification using improved RBF neural networks in frequency domain R Machavaram, K Shankar Advances in Structural Engineering 15 (10), 1689-1703, 2012 | 16 | 2012 |
| Improved Complex-valued Radial Basis Function (ICRBF) neural networks on multiple crack identification M Rajendra, K Shankar Applied Soft Computing 28, 285-300, 2015 | 14 | 2015 |
| Applications of gravity aeration system in aquaculture—a systematic review SM Roy, M Tanveer, R Machavaram Aquaculture International 30 (3), 1593-1621, 2022 | 13 | 2022 |
| Multi-objective design optimization of a three phase squirrel cage induction motor for electric propulsion system using genetic algorithm A Gupta, R Machavaram, T Kshatriya, S Ranjan 2020 IEEE First International Conference on Smart Technologies for Power …, 2020 | 11 | 2020 |
| Prediction of particle damping parameters using RBF neural network P Veeramuthuvel, K Shankar, KK Sairajan, R Machavaram Procedia Materials Science 5, 335-344, 2014 | 10 | 2014 |
Peeyush soniAssociate Professor of Agricultural & Food Engineering, Indian Institute of Technology在 iitkgp.ac.in 的电子邮件经过验证
