arrow
返回
P

Prabhjot Sandhu

California Department of Water Resources

6H指数
27论文数
107被引数
收录论文 10
发表时间
Protocols for Water and Environmental Modeling Using Machine Learning in California在加利福尼亚州使用机器学习进行水和环境建模的协议
err2025-03-14
err0
errOAAI
errHe, Minxue; Sandhu, Prabhjot; Namadi, Peyman; Reyes, Erik; Guivetchi, Kamyar; Chung, Francis
err分享
err收藏
An Open-Source Cross-Section Tool for Hydrodynamic Model Geometric Input Development
err2023-11-14
err0
errOAAI
errTom, Bradley; He, Minxue; Sandhu, Prabhjot
err分享
err收藏
Salinity Modeling Using Deep Learning with Data Augmentation and Transfer Learning使用具有数据增强和迁移学习的深度学习进行盐度建模
err2023-07-06
err5
errOAAI
errQi, Siyu; He, Minxue; Hoang, Raymond; Zhou, Yu; Namadi, Peyman; Tom, Bradley; Sandhu, Prabhjot; Bai, Zhaojun; Chung, Francis; Ding, Zhi; Anderson, Jamie; Roh, Dong Min; Huynh, Vincent
err分享
err收藏
Physics-Informed Neural Networks-Based Salinity Modeling in the Sacramento-San Joaquin Delta of California加利福尼亚州萨克拉曼多-圣华金河三角洲基于物理信息的神经网络盐度建模
err2023-06-21
err3
errOAAI
errRoh, Dong Min; He, Minxue; Bai, Zhaojun; Sandhu, Prabhjot; Chung, Francis; Ding, Zhi; Qi, Siyu; Zhou, Yu; Hoang, Raymond; Namadi, Peyman; Tom, Bradley; Anderson, Jamie
err分享
err收藏
Novel Salinity Modeling Using Deep Learning for the Sacramento-San Joaquin Delta of California
err2022-11-11
err11
errOAAI
errQi, Siyu; He, Minxue; Bai, Zhaojun; Ding, Zhi; Sandhu, Prabhjot; Chung, Francis; Namadi, Peyman; Zhou, Yu; Hoang, Raymond; Tom, Bradley; Anderson, Jamie; Dong Min Roh
err分享
err收藏
Multi-Location Emulation of a Process-Based Salinity Model Using Machine Learning
err2022-06-24
err8
errOAAI
errQi, Siyu; He, Minxue; Bai, Zhaojun; Ding, Zhi; Sandhu, Prabhjot; Zhou, Yu; Namadi, Peyman; Tom, Bradley; Hoang, Raymond; Anderson, Jamie
err分享
err收藏
Enhanced Artificial Neural Networks for Salinity Estimation and Forecasting in the Sacramento-San Joaquin Delta of California
err2021-10-01
err8
PREAI
errQi, Siyu; Bai, Zhaojun; Ding, Zhi; Jayasundara, Nimal; He, Minxue; Sandhu, Prabhjot; Seneviratne, Sanjaya; Kadir, Tariq
err分享
err收藏
err分享
err收藏