| Assessment of unsteady flow predictions using hybrid deep learning based reduced-order models SR Bukka, R Gupta, AR Magee, RK Jaiman Physics of Fluids 33 (1), 2021 | 90 | 2021 |
| Three-dimensional deep learning-based reduced order model for unsteady flow dynamics with variable Reynolds number R Gupta, R Jaiman Physics of Fluids 34 (3), 2022 | 34 | 2022 |
| A hybrid partitioned deep learning methodology for moving interface and fluid–structure interaction R Gupta, R Jaiman Computers & Fluids 233, 105239, 2022 | 33 | 2022 |
| Hybrid physics-based deep learning methodology for moving interface and fluid-structure interaction R Gupta, R Jaiman arXiv preprint arXiv:2102.09095, 2021 | 2 | 2021 |
| A TinyML solution for an IoT-based communication device for hearing impaired S Sharma, R Gupta, A Kumar Expert Systems with Applications 246, 123147, 2024 | 1 | 2024 |
| Deep learning-based reduced order modeling for unsteady flow dynamics and fluid-structure interaction R Gupta University of British Columbia, 2022 | 1 | 2022 |
| Assessment of hybrid data-driven models to predict unsteady flows R Gupta, SR Bukka, R Jaiman APS division of fluid dynamics meeting abstracts, K09. 017, 2020 | 1 | 2020 |
RAJEEV K. JAIMANProfessor and NSERC/Seaspan Research Chair, University of British Columbia, Vancouver在 mech.ubc.ca 的电子邮件经过验证
