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Physics-Informed Deep Neural Networks for Learning Parameters and Constitutive Relationships in Subsurface Flow Problems 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Tartakovsky, A. M.;  Marrero, C. Ortiz;  Perdikaris, Paris;  Tartakovsky, G. D.;  Barajas-Solano, D.
收藏  |  浏览/下载：12/0  |  提交时间：2020/07/02
deep neural networks  physics-informed machine learning  parameter estimation  learning constitutive relationships  unsaturated flow  MAP  
Challenges in Applying Machine Learning Models for Hydrological Inference: A Case Study for Flooding Events Across Germany 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Schmidt, Lennart;  Hesse, Falk;  Attinger, Sabine;  Kumar, Rohini
收藏  |  浏览/下载：7/0  |  提交时间：2020/05/13
machine learning  inference  floods  
Hydrologically Informed Machine Learning for Rainfall-Runoff Modeling: A Genetic Programming-Based Toolkit for Automatic Model Induction 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (4)
作者:  Chadalawada, Jayashree;  Herath, H. M. V. V.;  Babovic, Vladan
收藏  |  浏览/下载：7/0  |  提交时间：2020/07/02
rainfall-runoff modeling  flexible conceptual modeling framework  machine learning  genetic programming  
Reconstruction of GRACE Data on Changes in Total Water Storage Over the Global Land Surface and 60 Basins 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (4)
作者:  Sun, Zhangli;  Long, Di;  Yang, Wenting;  Li, Xueying;  Pan, Yun
收藏  |  浏览/下载：15/0  |  提交时间：2020/07/02
GRACE  spherical harmonics  mascons  machine learning  data gaps  reconstruction  
Reduced-Dimensional Gaussian Process Machine Learning for Groundwater Allocation Planning Using Swarm Theory 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (3)
作者:  Siade, Adam J.;  Cui, Tao;  Karelse, Robert N.;  Hampton, Clive
收藏  |  浏览/下载：5/0  |  提交时间：2020/07/02
Information-Based Machine Learning for Tracer Signature Prediction in Karstic Environments 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (2)
作者:  Mewes, B.;  Oppel, H.;  Marx, V.;  Hartmann, A.
收藏  |  浏览/下载：8/0  |  提交时间：2020/07/02
Machine learning  entropy  information content  karst  hydrograph separation  
Digital Rock Segmentation for Petrophysical Analysis With Reduced User Bias Using Convolutional Neural Networks 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (2)
作者:  Niu, Yufu;  Mostaghimi, Peyman;  Shabaninejad, Mehdi;  Swietojanski, Pawel;  Armstrong, Ryan T.
收藏  |  浏览/下载：12/0  |  提交时间：2020/07/02
convolutional neural network  digital rock  image segmentation  X-ray microcomputed tomography  
Boosting Resolution and Recovering Texture of 2D and 3D Micro-CT Images with Deep Learning 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (1)
作者:  Da Wang, Ying;  Armstrong, Ryan T.;  Mostaghimi, Peyman
收藏  |  浏览/下载：5/0  |  提交时间：2020/07/02
Historic Flood Reconstruction With the Use of an Artificial Neural Network 期刊论文
WATER RESOURCES RESEARCH, 2019
作者:  Bomers, A.;  van der Meulen, B.;  Schielen, R. M. J.;  Hulscher, S. J. M. H.
收藏  |  浏览/下载：5/0  |  提交时间：2020/02/16
Flood reconstruction  Artificial Neural Network  Confidence interval  Surogatte modelling  
Prediction and Inference of Flow Duration Curves Using Multioutput Neural Networks 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (8) : 6850-6868
作者:  Worland, Scott. C.;  Steinschneider, Scott;  Asquith, William;  Knight, Rodney;  Wieczorek, Michael
收藏  |  浏览/下载：7/0  |  提交时间：2019/11/27