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Velocity Field Estimation on Density-Driven Solute Transport With a Convolutional Neural Network 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (8) : 7275-7293
作者:  Kreyenberg, Philipp J.;  Bauser, Hannes H.;  Roth, Kurt
收藏  |  浏览/下载：3/0  |  提交时间：2019/11/27
Measuring River Wetted Width From Remotely Sensed Imagery at the Subpixel Scale With a Deep Convolutional Neural Network 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (7) : 5631-5649
作者:  Ling, Feng;  Boyd, Doreen;  Ge, Yong;  Foody, Giles M.;  Li, Xiaodong;  Wang, Lihui;  Zhang, Yihang;  Shi, Lingfei;  Shang, Cheng;  Li, Xinyan;  Du, Yun
收藏  |  浏览/下载：10/0  |  提交时间：2019/11/27
Interpretable classification of Alzheimer's disease pathologies with a convolutional neural network pipeline 期刊论文
NATURE COMMUNICATIONS, 2019, 10
作者:  Tang, Ziqi;  Chuang, Kangway, V;  DeCarli, Charles;  Jin, Lee-Way;  Beckett, Laurel;  Keiser, Michael J.;  Dugger, Brittany N.
收藏  |  浏览/下载：1/0  |  提交时间：2019/11/27
Deep Autoregressive Neural Networks for High-Dimensional Inverse Problems in Groundwater Contaminant Source Identification 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (5) : 3856-3881
作者:  Mo, Shaoxing;  Zabaras, Nicholas;  Shi, Xiaoqing;  Wu, Jichun
收藏  |  浏览/下载：10/0  |  提交时间：2019/11/26
Deep learning to map concentrated animal feeding operations 期刊论文
NATURE SUSTAINABILITY, 2019, 2 (4) : 298-306
作者:  Handan-Nader, Cassandra;  Ho, Daniel E.
收藏  |  浏览/下载：0/0  |  提交时间：2020/08/19
Improving Precipitation Estimation Using Convolutional Neural Network 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (3) : 2301-2321
作者:  Pan, Baoxiang;  Hsu, Kuolin;  AghaKouchak, Amir;  Sorooshian, Soroosh
收藏  |  浏览/下载：6/0  |  提交时间：2019/11/26
deep learning  precipitation  downscaling  
Combining Physically Based Modeling and Deep Learning for Fusing GRACE Satellite Data: Can We Learn From Mismatch? 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (2) : 1179-1195
作者:  Sun, Alexander Y.;  Scanlon, Bridget R.;  Zhang, Zizhan;  Walling, David;  Bhanja, Soumendra N.;  Mukherjee, Abhijit;  Zhong, Zhi
收藏  |  浏览/下载：17/0  |  提交时间：2019/11/26
deep learning  GRACE  GLDAS  Unet  transfer learning  CNN  
Developing a New Method of Automatically and Accurately Discriminating between Regular Earthquakes and Low-frequency Tremor Signals Using Artificial Intelligence 新闻
来源平台：Japan Agency for Marine-Earth Science and Technology. 发布日期：2019
作者:  admin
收藏  |  浏览/下载：17/0  |  提交时间：2019/04/16
Deep Convolutional Encoder-Decoder Networks for Uncertainty Quantification of Dynamic Multiphase Flow in Heterogeneous Media 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (1) : 703-728
作者:  Mo, Shaoxing;  Zhu, Yinhao;  Zabaras, Nicholas;  Shi, Xiaoqing;  Wu, Jichun
收藏  |  浏览/下载：10/0  |  提交时间：2019/04/09
multiphase flow  geological carbon storage  uncertainty quantification  deep neural networks  high dimensionality  response discontinuity