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| Analysis of Seasonal Driving Factors and Inversion Model Optimization of Soil Moisture in the Qinghai Tibet Plateau Based on Machine Learning 期刊论文
WATER, 2023, 卷号: 15, 期号: 16
作者: Deng, Qinghai; Yang, Jingjing; Zhang, Liping; Sun, Zhenzhou; Sun, Guizong; Chen, Qiao; Dou, Fengke
  收藏 | 浏览/下载：5/0 | 提交时间：2024/03/01
Sentinel-1 semi-empirical model artificial neural networks decision tree algorithm |
| A deep learning model for predicting climate-induced disasters 期刊论文
Natural Hazards, 2021, 卷号: 107, 期号: 1
作者: Haggag M.; Siam A.S.; El-Dakhakhni W.; Coulibaly P.; Hassini E.
收藏 | 浏览/下载：198/0 | 提交时间：2021/09/01
Artificial neural networks Climate change Machine learning Natural disasters Natural hazards Prediction |
| Seismic attenuation model for data gap regions using recorded and simulated ground motions 期刊论文
Natural Hazards, 2021, 卷号: 107, 期号: 1
作者: Raghucharan M.C.; Somala S.N.; Erteleva O.; Rogozhi E.
收藏 | 浏览/下载：192/0 | 提交时间：2021/09/01
Artificial neural networks CIGN GMPE Indo-Gangetic Plains PESMOS Seismic attenuation |
| Merging multiple satellite-based precipitation products and gauge observations using a novel double machine learning approach 期刊论文
JOURNAL OF HYDROLOGY, 2021, 卷号: 594
作者: Zhang, Ling; Li, Xin; Zheng, Donghai; Zhang, Kun; Ma, Qimin; Zhao, Yanbo; Ge, Yingchun
收藏 | 浏览/下载：25/0 | 提交时间：2022/04/28
ARTIFICIAL NEURAL-NETWORKS INTERPOLATION TECHNIQUES RAINFALL DATA REGRESSION PERFORMANCE ALGORITHM SYSTEM REGION ERROR BASIN |
| Physics-informed neural networks for multiphysics data assimilation with application to subsurface transport 期刊论文
, 2020, 卷号: 141
作者: He Q.; Barajas-Solano D.; Tartakovsky G.; Tartakovsky A.M.
收藏 | 浏览/下载：216/0 | 提交时间：2020/07/28
Deep neural networks Hydraulic conductivity Learning systems Porous materials State estimation Accuracy of parameters Computational costs Concentration fields Concentration Measurement Data assimilation Governing equations Parameter and state estimation Subsurface transport Parameter estimation artificial neural network data assimilation hydraulic conductivity hydraulic head porous medium subsurface flow transport process |
| Prediction of droughts over Pakistan using machine learning algorithms 期刊论文
, 2020, 卷号: 139
作者: Khan N.; Sachindra D.A.; Shahid S.; Ahmed K.; Shiru M.S.; Nawaz N.
收藏 | 浏览/下载：40/0 | 提交时间：2020/07/28
Atmospheric humidity Climate change Drought Forecasting Learning algorithms Nearest neighbor search Neural networks Support vector machines Wind Atmospheric research K nearest neighbours (k-NN) K-nearest neighbours National centres for environmental predictions Pakistan Recursive feature elimination Temporal and spatial Vulnerable communities Learning systems algorithm artificial neural network climate prediction drought machine learning numerical model precipitation (climatology) Arabian Sea Caspian Sea Indian Ocean Pakistan |
| PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media 期刊论文
, 2020, 卷号: 138
作者: Santos J.E.; Xu D.; Jo H.; Landry C.J.; Prodanović M.; Pyrcz M.J.
收藏 | 浏览/下载：27/0 | 提交时间：2020/07/28
Binary images Convolution Deep learning Deep neural networks Flow fields Flow of fluids Forecasting Learning systems Mechanical permeability Network architecture Porous materials Velocity Disruptive technology Fluid velocity field Geometrical informations Machine learning models Orders of magnitude Spatial relationships Subsurface formations Surrogate model Convolutional neural networks artificial neural network digital image flow modeling fluid flow permeability porous medium prediction rock mechanics surrogate method three-dimensional modeling |
| Seeing macro-dispersivity from hydraulic conductivity field with convolutional neural network 期刊论文
, 2020, 卷号: 138
作者: Zhou Z.; Shi L.; Zha Y.
收藏 | 浏览/下载：32/0 | 提交时间：2020/07/28
Convolution Deep learning Deep neural networks Groundwater Groundwater pollution Hydraulic conductivity Learning algorithms Learning systems Porous materials Solute transport Contaminant transport Convolutional neural work Groundwater environment Heterogeneity Macrodispersivity Quantitative relations Spatial heterogeneity Trained neural networks Convolutional neural networks algorithm artificial neural network computer simulation groundwater heterogeneity hydraulic conductivity machine learning |
| Impact of deep learning-based dropout on shallow neural networks applied to stream temperature modelling 期刊论文
Earth Science Reviews, 2020, 卷号: 201
作者: Piotrowski A.P.; Napiorkowski J.J.; Piotrowska A.E.
收藏 | 浏览/下载：17/0 | 提交时间：2021/09/01
Atmosphere-hydrosphere interactions Deep learning Dropout Shallow artificial neural networks Stream temperature modelling |
| Flood forecasting based on an artificial neural network scheme 期刊论文
Natural Hazards, 2020, 卷号: 104, 期号: 2
作者: Dtissibe F.Y.; Ari A.A.A.; Titouna C.; Thiare O.; Gueroui A.M.
收藏 | 浏览/下载：34/0 | 提交时间：2021/09/01
Artificial neural networks Flood forecasting Machine learning Multilayer perceptron |
