| Federated learning-based semantic segmentation for pixel-wise defect detection in additive manufacturing M Mehta, C Shao Journal of Manufacturing Systems 64, 197-210, 2022 | 51 | 2022 |
| Transient pulse condensation S Sett, P Sokalski, M Mehta, KF Rabbi, A Gunay, N Miljkovic Applied Physics Letters 117 (9), 2020 | 12 | 2020 |
| A federated learning approach to mixed fault diagnosis in rotating machinery M Mehta, S Chen, H Tang, C Shao Journal of Manufacturing Systems 68, 687-694, 2023 | 10 | 2023 |
| A greedy agglomerative framework for clustered federated learning M Mehta, C Shao IEEE Transactions on Industrial Informatics, 2023 | 7 | 2023 |
| Adaptive sampling design for multi-task learning of Gaussian processes in manufacturing M Mehta, C Shao Journal of Manufacturing Systems 61, 326-337, 2021 | 4 | 2021 |
| Federated learning enables privacy-preserving and data-efficient dimension prediction and part qualification across additive manufacturing factories M Mehta, MV Bimrose, DJ McGregor, WP King, C Shao Journal of Manufacturing Systems 74, 752-761, 2024 | | 2024 |
| Machine Learning and Taguchi DOE Combined Approach for Modeling Dynamic Ultrasound-Assisted Fresh-Cut Leafy Green Sanitation M Dong, M Mehta, C Lee, M Kavannaugh, C Shao, MJ Stasiewicz, H Feng ACS Sustainable Chemistry & Engineering, 2024 | | 2024 |
