| Transfer Learning with Prior Data-Driven Models from Multiple Unconventional Fields J Cornelio, S Mohd Razak, Y Cho, HH Liu, R Vaidya, B Jafarpour SPE Journal 28 (05), 2385-2414, 2023 | 2 | 2023 |
| Physics-guided deep learning for improved production forecasting in unconventional reservoirs S Razak, J Cornelio, Y Cho, H Liu, R Vaidya, B Jafarpour SPE Journal, 1-23, 2023 | 3 | 2023 |
| Dynamic Physics-Guided Deep Learning for Production Forecasting in Unconventional Reservoirs S Mohd Razak, J Cornelio, Y Cho, HH Liu, R Vaidya, B Jafarpour SPE Western Regional Meeting, D021S004R002, 2023 | | 2023 |
| Neural Network-Assisted Clustering for Improved Production Predictions in Unconventional Reservoirs J Cornelio, S Mohd Razak, Y Cho, HH Liu, R Vaidya, B Jafarpour SPE Western Regional Meeting, D021S004R001, 2023 | 1 | 2023 |
| A Dynamic Residual Learning Approach to Improve Physics-Constrained Neural Network Predictions in Unconventional Reservoirs S Mohd Razak, J Cornelio, Y Cho, HH Liu, R Vaidya, B Jafarpour SPE Middle East Oil and Gas Show and Conference, D021S084R005, 2023 | | 2023 |
| Identifying and Ranking Multiple Source Models for Transfer Learning in Unconventional Reservoirs. J Cornelio, S Mohd Razak, Y Cho, HH Liu, R Vaidya, B Jafarpour SPE Middle East Oil and Gas Show and Conference, D021S084R003, 2023 | | 2023 |
| Residual learning to integrate neural network and physics-based models for improved production prediction in unconventional reservoirs J Cornelio, S Mohd Razak, Y Cho, HH Liu, R Vaidya, B Jafarpour SPE Journal 27 (06), 3328-3350, 2022 | 11 | 2022 |
| Embedding physical flow functions into deep learning predictive models for improved production forecasting SM Razak, J Cornelio, Y Cho, HH Liu, R Vaidya, B Jafarpour Unconventional Resources Technology Conference, 20–22 June 2022, 2098-2117, 2022 | 6 | 2022 |
| Transfer learning with multiple aggregated source models in unconventional reservoirs J Cornelio, SM Razak, Y Cho, HH Liu, R Vaidya, B Jafarpour Unconventional Resources Technology Conference, 20–22 June 2022, 2192-2211, 2022 | 1 | 2022 |
| Transfer learning with recurrent neural networks for long-term production forecasting in unconventional reservoirs S Mohd Razak, J Cornelio, Y Cho, HH Liu, R Vaidya, B Jafarpour Spe Journal 27 (04), 2425-2442, 2022 | 33 | 2022 |
| Investigating transfer learning for characterization and performance prediction in unconventional reservoirs J Cornelio, S Mohd Razak, A Jahandideh, B Jafarpour, Y Cho, HH Liu, ... SPE Middle East Oil and Gas Show and Conference, D031S031R007, 2021 | 4 | 2021 |
| Integrating deep learning and physics-based models for improved production prediction in unconventional reservoirs S Mohd Razak, J Cornelio, A Jahandideh, B Jafarpour, Y Cho, HH Liu, ... SPE Middle East Oil and Gas Show and Conference, D031S031R003, 2021 | 8 | 2021 |
| Physics-assisted transfer learning for production prediction in unconventional reservoirs J Cornelio, SM Razak, A Jahandideh, Y Cho, HH Liu, R Vaidya, ... Unconventional Resources Technology Conference, 26–28 July 2021, 3669-3682, 2021 | 13 | 2021 |
| A physics-guided deep learning predictive model for robust production forecasting and diagnostics in unconventional wells SM Razak, J Cornelio, Y Cho, HH Liu, R Vaidya, B Jafarpour Unconventional Resources Technology Conference, 26–28 July 2021, 1843-1850, 2021 | 9 | 2021 |
| Digital signal transition counters for digital integrated circuits YH Cho, SS Bhargav, A Goodney US Patent 10,963,026, 2021 | 2 | 2021 |
| Pervasive power generation system Y Cho, D Rae, C Webb, G LaFramboise, L Olabinjo, A Goodney US Patent 10,910,962, 2021 | | 2021 |
| Subcircuit physical level power monitoring technology for real-time hardware systems and simulators YH Cho, SS Bhargav US Patent 10,830,800, 2020 | | 2020 |
| Subcircuit physical level power monitoring technology for real-time hardware systems and simulators YH Cho, SS Bhargav US Patent 10,386,395, 2019 | | 2019 |
| Fine-grained on-line power monitoring for soft microprocessor based system-on-chip YH Cho, SS Bhargav 2017 International Conference on ReConFigurable Computing and FPGAs …, 2017 | | 2017 |
| Digital circuit power measurements using numerical analysis YH Cho, SS Bhargav, A Goodney US Patent 9,618,547, 2017 | 8 | 2017 |
Mani SrivastavaProfessor of Electrical & Computer Engineering, and Professor of Computer Science, UCLA在 ucla.edu 的电子邮件经过验证
