| TRANSFORM-ANN for online optimization of complex industrial processes: Casting process as case study SS Miriyala, VR Subramanian, K Mitra European Journal of Operational Research 264 (1), 294-309, 2018 | 79 | 2018 |
| Comparative study of surrogate approaches while optimizing computationally expensive reaction networks SS Miriyala, P Mittal, S Majumdar, K Mitra Chemical Engineering Science 140, 44-61, 2016 | 79 | 2016 |
| KERNEL: enabler to build smart surrogates for online optimization and knowledge discovery PD Pantula, SS Miriyala, K Mitra Materials and Manufacturing Processes 32 (10), 1162-1171, 2017 | 68 | 2017 |
| Multi-objective optimization of iron ore induration process using optimal neural networks SS Miriyala, K Mitra Materials and Manufacturing Processes 35 (5), 537-544, 2020 | 56 | 2020 |
| Recurrent neural networks based modelling of industrial grinding operation RK Inapakurthi, SS Miriyala, K Mitra Chemical engineering science 219, 115585, 2020 | 50 | 2020 |
| Deep learning based dynamic behavior modelling and prediction of particulate matter in air RK Inapakurthi, SS Miriyala, K Mitra Chemical Engineering Journal 426, 131221, 2021 | 42 | 2021 |
| An evolutionary neuro-fuzzy C-means clustering technique PD Pantula, SS Miriyala, K Mitra Engineering Applications of Artificial Intelligence 89, 103435, 2020 | 42 | 2020 |
| Deep learning based system identification of industrial integrated grinding circuits SS Miriyala, K Mitra Powder Technology 360, 921-936, 2020 | 40 | 2020 |
| Data driven robust optimization of grinding process under uncertainty RK Inapakurthi, PD Pantula, SS Miriyala, K Mitra Materials and Manufacturing Processes 35 (16), 1870-1876, 2020 | 35 | 2020 |
| Achieving wealth from bio-waste in a nationwide supply chain setup under uncertain environment through data driven robust optimization approach K Gumte, PD Pantula, SS Miriyala, K Mitra Journal of Cleaner Production 291, 125702, 2021 | 34 | 2021 |
| A novel data-driven sampling strategy for optimizing industrial grinding operation under uncertainty using chance constrained programming S Sharma, PD Pantula, SS Miriyala, K Mitra Powder Technology 377, 913-923, 2021 | 33 | 2021 |
| Data driven robust optimization for handling uncertainty in supply chain planning models KM Gumte, PD Pantula, SS Miriyala, K Mitra Chemical Engineering Science 246, 116889, 2021 | 28 | 2021 |
| Better wind forecasting using evolutionary neural architecture search driven green deep learning KN Pujari, SS Miriyala, P Mittal, K Mitra Expert Systems with Applications 214, 119063, 2023 | 25 | 2023 |
| Identification of unstructured model for subtilin production through Bacillus subtilis using hybrid genetic algorithm R Singh, SS Miriyala, L Giri, K Mitra, VV Kareenhalli Process Biochemistry 60, 1-12, 2017 | 18 | 2017 |
| Evolutionary neural architecture search for surrogate models to enable optimization of industrial continuous crystallization process SS Miriyala, KNS Pujari, S Naik, K Mitra Powder Technology 405, 117527, 2022 | 17 | 2022 |
| Multi-objective optimization through a novel Bayesian approach for industrial manufacturing of Polyvinyl Acetate A Manoj, SS Miriyala, K Mitra Materials and Manufacturing Processes 38 (15), 1955-1963, 2023 | 13 | 2023 |
| Enabling online optimization and control of complex models through smart surrogates based on ANNs SS Miriyala, PD Pantula, S Majumdar, K Mitra 2016 Indian Control Conference (ICC), 214-221, 2016 | 6 | 2016 |
| Nonlinear model predictive control of industrial grinding circuits using machine learning R kiran Inapakurthi, SS Miriyala, S Kolluri, K Mitra 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1921-1927, 2020 | 3 | 2020 |
| Optimal Control using Evolutionary Algorithms through Neural network based TRANSFORMation SS Miriyala, K Mitra 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1379-1386, 2020 | 3 | 2020 |
| Optimally designed Variational Autoencoders for Efficient Wind Characteristics Modelling SS Miriyala, S Chowdhury, NSK Pujari, K Mitra 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2869-2876, 2020 | 3 | 2020 |
Kishalay MitraProfessor, Indian Institute of Technology Hyderabad在 iith.ac.in 的电子邮件经过验证
