AdaSwarm: Augmenting gradient-based optimizers in deep learning with swarm intelligence R Mohapatra, S Saha, CAC Coello, A Bhattacharya, SS Dhavala, S Saha IEEE Transactions on Emerging Topics in Computational Intelligence 6 (2 …, 2021 | 37* | 2021 |
A new approach for momentum particle swarm optimization R Mohapatra, RR Talesara, S Govil, S Saha, SS Dhavala, TSB Sudarshan Advances in Machine Learning and Computational Intelligence: Proceedings of …, 2020 | 6 | 2020 |
Large-scale End-of-Life Prediction of Hard Disks in Distributed Datacenters R Mohapatra, A Coursey, S Sengupta 2023 IEEE International Conference on Smart Computing (SMARTCOMP), 261-266, 2023 | 2 | 2023 |
De-SaTE: Denoising Self-attention Transformer Encoders for Li-ion Battery Health Prognostics G Shinde, R Mohapatra, P Krishan, S Sengupta 2023 IEEE International Conference on Big Data (BigData), 2221-2228, 2023 | 1 | 2023 |
The State of Lithium-Ion Battery Health Prognostics in the CPS Era G Shinde, R Mohapatra, P Krishan, H Garg, S Prabhu, S Das, M Masum, ... arXiv preprint arXiv:2403.19816, 2024 | | 2024 |
TFBEST: Dual-Aspect Transformer with Learnable Positional Encoding for Failure Prediction R Mohapatra, S Sengupta arXiv preprint arXiv:2309.02641, 2023 | | 2023 |
AdaSwarm: Supplementary Material R Mohapatra, S Saha, CAC Coello, A Bhattacharya, SS Dhavala, S Saha | | 2021 |