| 2-D analytical magnetic field prediction for consequent-pole permanent magnet synchronous machines S Teymoori, A Rahideh, H Moayed-Jahromi, M Mardaneh IEEE Transactions on Magnetics 52 (6), 1-14, 2016 | 80 | 2016 |
| A time-varying deep reinforcement model predictive control for dc power converter systems M Andalibi, M Hajihosseini, S Teymoori, M Kargar, M Gheisarnejad 2021 IEEE 12th International Symposium on Power Electronics for Distributed …, 2021 | 20 | 2021 |
| Applying a new feature fusion method to classify breast lesions N Mashhadi, AZ Khuzani, M Heidari, D Khaledyan, S Teymoori Medical Imaging 2021: Computer-Aided Diagnosis 11597, 242-246, 2021 | 8 | 2021 |
| Quantifying innervation facilitated by deep learning in wound healing AS Mehta, S Teymoori, C Recendez, D Fregoso, A Gallegos, HY Yang, ... Scientific Reports 13 (1), 16885, 2023 | 4 | 2023 |
| A Novel Optimal PI Controller Based DC/DC Boost Converter Application MJ Mamghani, S Teymoori, N Eskandarian, S Sabzevari 2022 IEEE 13th International Symposium on Power Electronics for Distributed …, 2022 | 2 | 2022 |
| Enhancing wound healing through deep reinforcement learning for optimal therapeutics F Lu, K Zlobina, NA Rondoni, S Teymoori, M Gomez Royal Society Open Science 11 (7), 240228, 2024 | | 2024 |
| Computational Strategies for Optimizing Wound Healing: From Neurite Analysis to Deep Reinforcement Learning S Teymoori University of California, Santa Cruz, 2023 | | 2023 |
