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Enhancing predictive skills in physically-consistent way: Physics
  Informed Machine Learning for Hydrological Processes

Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for Hydrological Processes

22 April 2021
Pravin Bhasme
Jenil Vagadiya
Udit Bhatia
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for Hydrological Processes"

3 / 3 papers shown
Title
Identifying Trustworthiness Challenges in Deep Learning Models for Continental-Scale Water Quality Prediction
Identifying Trustworthiness Challenges in Deep Learning Models for Continental-Scale Water Quality Prediction
Xiaobo Xia
Xiaofeng Liu
Jiale Liu
K. Fang
Lu Lu
Samet Oymak
William S. Currie
Tongliang Liu
134
0
0
13 Mar 2025
A Review of Physics-based Machine Learning in Civil Engineering
A Review of Physics-based Machine Learning in Civil Engineering
S. Vadyala
S. N. Betgeri
J. Matthews
Elizabeth Matthews
AI4CE
91
158
0
09 Oct 2021
SWAT Watershed Model Calibration using Deep Learning
SWAT Watershed Model Calibration using Deep Learning
M. Mudunuru
K. Son
Pin Jiang
X. Chen
45
2
0
06 Oct 2021
1