| 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 | 39 | 2023 |
| A crystallization case study toward optimization of expensive to evaluate mathematical models using Bayesian approach A Tadepalli, KNS Pujari, K Mitra Materials and Manufacturing Processes 38 (16), 2127-2134, 2023 | 25 | 2023 |
| 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 | 22 | 2022 |
| Comparison of deep reinforcement learning techniques with gradient based approach in cooperative control of wind farm KNS Pujari, V Srivastava, SS Miriyala, K Mitra 2021 Seventh Indian Control Conference (ICC), 400-405, 2021 | 9 | 2021 |
| Toward Performance Improvement of a Baculovirus–Insect Cell System under Uncertain Environment: A Robust Multiobjective Dynamic Optimization Approach for Semibatch Suspension … S Sharma, PN Keerthi, L Giri, K Mitra Industrial & Engineering Chemistry Research 62 (1), 111-125, 2022 | 5 | 2022 |
| 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 | 5 | 2020 |
| Optimal Long Short Term Memory Networks for long-term forecasting of real wind characteristics KN Pujari, SS Miriyala, P Mittal, K Mitra IFAC-PapersOnLine 53 (1), 648-653, 2020 | 5 | 2020 |
| Jensen-ANN: A Machine Learning adaptation of Jensen Wake Model KN Pujari, SS Miriyala, K Mitra IFAC-PapersOnLine 56 (2), 4651-4656, 2023 | 4 | 2023 |
| Comparative study of automated deep learning techniques for wind time-series forecasting NSK Pujari, SS Miriyala, K Mitra Statistical Modeling in Machine Learning, 327-356, 2023 | 2 | 2023 |
| Wind Farm Layout Optimization Under Uncertainty using Bayesian Approach KN Pujari, K Mitra 2023 Ninth Indian Control Conference (ICC), 90-95, 2023 | 1 | 2023 |
| Unstructured modeling and RNN Surrogate development for optimizing vaccine production in Baculovirus Expression Vector System S Sharma, KN Pujari, SS Miriyala, L Giri, K Mitra 2021 Seventh Indian Control Conference (ICC), 406-411, 2021 | 1 | 2021 |
| Auto-tuned Deep Recurrent Neural Networks for Application in Wind Energy Conversion Systems NSK Pujari, SS Miriyala, K Mitra 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 3065-3072, 2020 | 1 | 2020 |
| Automated LSTMs for Wind Behaviour Predictions NSK Pujari, SS Miriyala, K Mitra Optimization, Uncertainty and Machine Learning in Wind Energy Conversion …, 2025 | | 2025 |
| Maximizing Energy Production from Wind Farm Layout Using Model Predictive Control RK Inapakurthi, NSK Pujari, K Mitra Optimization, Uncertainty and Machine Learning in Wind Energy Conversion …, 2025 | | 2025 |
| Handling Wind Stochasticity in Farm Layout Optimization: A Novel Data-Driven Approach PD Pantula, NSK Pujari, K Mitra Optimization, Uncertainty and Machine Learning in Wind Energy Conversion …, 2025 | | 2025 |
| Artificial Intelligence Driven Forecasting for Optimal Wind Characterization and Power Generation from Wind Farm RK Inapakurthi, NSK Pujari, K Mitra Optimization, Uncertainty and Machine Learning in Wind Energy Conversion …, 2025 | | 2025 |
| Data Analysis in Wind Power Prediction: An Essential Step Before Data-Based Modeling A Tadepalli, NSK Pujari, K Mitra Optimization, Uncertainty and Machine Learning in Wind Energy Conversion …, 2025 | | 2025 |
| Exploring Reinforcement Learning for Efficient Wind Farm Control NSK Pujari, K Mitra Optimization, Uncertainty and Machine Learning in Wind Energy Conversion …, 2025 | | 2025 |
| Generative Adversarial Networks for Modelling Uncertainties in Wind Farm Design NSK Pujari, SS Miriyala, K Mitra Optimization, Uncertainty and Machine Learning in Wind Energy Conversion …, 2025 | | 2025 |
| Synergizing Machine Learning with Physics-Based Modelling: A Unified Approach for Characterizing Wake Effects NSK Pujari, SS Miriyala, K Mitra Optimization, Uncertainty and Machine Learning in Wind Energy Conversion …, 2025 | | 2025 |
