Recurrent neural networks based modelling of industrial grinding operation RK Inapakurthi, SS Miriyala, K Mitra Chemical engineering science 219, 115585, 2020 | 48 | 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 | 40 | 2021 |
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 | 31 | 2020 |
Optimal surrogate building using SVR for an industrial grinding process RK Inapakurthi, K Mitra Materials and Manufacturing Processes 37 (15), 1701-1707, 2022 | 26 | 2022 |
Toward faster operational optimization of cascaded MSMPR crystallizers using multiobjective support vector regression R Inapakurthi, SS Naik, K Mitra Industrial & Engineering Chemistry Research 61 (31), 11518-11533, 2022 | 14 | 2022 |
Statistical Modeling in Machine Learning: Concepts and Applications T Goswami, GR Sinha Academic Press, 2022 | 3 | 2022 |
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 | 2 | 2020 |
Towards Faster Multi-Objective Surrogate Optimization using SVR: A Casting Case Study R Inapakurthi, K Mitra Transactions of the Indian Institute of Metals, 1-10, 2023 | 1 | 2023 |
A Mechanism to Determine Fast Charging Protocol of Battery RK Inapakurthi, M Kadali 2023 IEEE International Transportation Electrification Conference (ITEC …, 2023 | | 2023 |
Artificial Intelligence Based Model for Vehicle Cooling System JS Hallikeri, RK Inapakurthi 2023 IEEE International Transportation Electrification Conference (ITEC …, 2023 | | 2023 |
Data-Based Time Series Modelling of Industrial Grinding Circuits R kiran Inapakurthi, K Mitra Advances in Data-Driven Computing and Intelligent Systems: Selected Papers …, 2023 | | 2023 |
Nonlinear system identification of environmental pollutants using recurrent neural networks and Global Sensitivity Analysis SS Miriyala, R Inapakurthi, K Mitra Statistical Modeling in Machine Learning, 307-326, 2023 | | 2023 |
Machine Learning Based Multi-Objective Surrogate Optimization of MSMPR Process R kiran Inapakurthi, SS Naik, K Mitra 2022 Eighth Indian Control Conference (ICC), 176-181, 2022 | | 2022 |
System Identification and Process Modelling of Dynamic Systems Using Machine Learning R kiran Inapakurthi, K Mitra 2022 26th International Conference on System Theory, Control and Computing …, 2022 | | 2022 |
Artificial Intelligence Assisted Optimization Under Uncertainty for Robust Solutions R kiran Inapakurthi, K Mitra 2022 26th International Conference on System Theory, Control and Computing …, 2022 | | 2022 |
Data-Based Time Series Modelling of Industrial Grinding Circuits R Inapakurthi, K Mitra International Conference on Advances in Data-driven Computing and …, 2022 | | 2022 |
System Identification and Process Modelling of Dynamic Systems Using Machine Learning RK Inapakurthi, K Mitra 26th International Conference on System Theory, Control and Computing …, 2022 | | 2022 |
Support Vector Machines in Process Systems Engineering: Applications on Control and Optimization Under Uncertainty IR Kiran Indian Institute of Technology, Hyderabad, 2022 | | 2022 |
Artificial Intelligence Assisted Optimization Under Uncertainty for Robust Solutions R Inapakurthi, K Mitra 26th International Conference on System Theory, Control and Computing …, 2022 | | 2022 |
Machine Learning based Surrogate Assisted Multi-Objective Optimization of Continuous Casting Process R kiran Inapakurthi, K Mitra 2021 Seventh Indian Control Conference (ICC), 283-288, 2021 | | 2021 |