| Prediction and optimization of machining parameters for minimizing power consumption and surface roughness in machining G Kant, KS Sangwan Journal of cleaner production 83, 151-164, 2014 | 338 | 2014 |
| Optimization of machining parameters to minimize surface roughness using integrated ANN-GA approach KS Sangwan, S Saxena, G Kant Procedia Cirp 29, 305-310, 2015 | 211 | 2015 |
| Predictive modelling and optimization of machining parameters to minimize surface roughness using artificial neural network coupled with genetic algorithm G Kant, KS Sangwan Procedia Cirp 31, 453-458, 2015 | 203 | 2015 |
| Predictive modelling for energy consumption in machining using artificial neural network G Kant, KS Sangwan Procedia Cirp 37, 205-210, 2015 | 76 | 2015 |
| Optimization of machining parameters for improving energy efficiency using integrated response surface methodology and genetic algorithm approach KS Sangwan, G Kant Procedia CIRP 61, 517-522, 2017 | 75 | 2017 |
| Predictive modeling for power consumption in machining using artificial intelligence techniques G Kant, KS Sangwan Procedia CIRP 26, 403-407, 2015 | 68 | 2015 |
| Demand forecasting at retail stage for selected vegetables: a performance analysis R Priyadarshi, A Panigrahi, S Routroy, GK Garg Journal of Modelling in Management 14 (4), 1042-1063, 2019 | 63 | 2019 |
| Multi-objective optimization of machining parameters to minimize surface roughness and power consumption using TOPSIS S Pawanr, GK Garg, S Routroy Procedia CIRP 86, 116-120, 2019 | 38 | 2019 |
| A novel approach to model the energy consumption of machine tools for machining cylindrical parts S Pawanr, GK Garg, S Routroy Journal of Manufacturing Processes 84, 28-42, 2022 | 23 | 2022 |
| Modelling of variable energy consumption for CNC machine tools S Pawanr, GK Garg, S Routroy Procedia Cirp 98, 247-251, 2021 | 19 | 2021 |
| A bibliometric analysis of fintech trends: An empirical investigation G Garg, M Shamshad, N Gauhar, MI Tabash, B Hamouri, LN Daniel International Journal of Financial Studies 11 (2), 79, 2023 | 18 | 2023 |
| Postharvest supply chain losses: A state-of-the-art literature review and bibliometric analysis R Priyadarshi, S Routroy, GK Garg Journal of Advances in Management Research 18 (3), 443-467, 2020 | 18 | 2020 |
| Development of an empirical model for optimization of machining parameters to minimize power consumption GK Garg, S Garg, KS Sangwan IOP Conference Series: Materials Science and Engineering 346, 012078, 2018 | 17 | 2018 |
| Prediction and optimization of machining parameters for minimizing surface roughness and power consumption during turning of AISI 1045 steel G Kant BITS Pilani, 2016 | 15 | 2016 |
| Predictive modeling of turning operations using response surface methodology G Kant, V Rao V, KS Sangwan Applied Mechanics and Materials 307, 170-173, 2013 | 15 | 2013 |
| Prediction of energy consumption of machine tools using multi-gene genetic programming S Pawanr, GK Garg, S Routroy Materials Today: Proceedings 58, 135-139, 2022 | 14 | 2022 |
| Prediction of energy efficiency, power factor and associated carbon emissions of machine tools using soft computing techniques S Pawanr, GK Garg, S Routroy International Journal on Interactive Design and Manufacturing (IJIDeM) 17 (3 …, 2023 | 11 | 2023 |
| Fuzzy-TOPSIS based multi-objective optimization of machining parameters for improving energy consumption and productivity S Pawanr, T Tanishk, A Gulati, GK Garg, S Routroy Procedia CIRP 102, 192-197, 2021 | 11 | 2021 |
| Modeling of stresses and temperature in turning using finite element method KS Sangwan, G Kant, A Deshpande, P Sharma Applied Mechanics and Materials 307, 174-177, 2013 | 11 | 2013 |
| Development of a transient energy prediction model for machine tools S Pawanr, GK Garg, S Routroy Procedia Cirp 98, 678-683, 2021 | 10 | 2021 |
Srikanta RoutroyProfessor, BITS Pilani, Pilani Campus在 bits-pilani.ac.in 的电子邮件经过验证
