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| Investigating the seasonal dynamics of surface water over the Qinghai-Tibet Plateau using Sentinel-1 imagery and a novel gated multiscale ConvNet 期刊论文 INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2023, 卷号: 16, 期号: 1 作者: Luo, Xin; Hu, Zhongwen; Liu, Lin
 收藏  |  浏览/下载:2/0  |  提交时间:2024/03/01 Qinghai-Tibet Plateau surface water mapping deep learning convolutional neural network SAR image |
| A hybrid framework integrating physical model and convolutional neural network for regional landslide susceptibility mapping 期刊论文 Natural Hazards, 2021 作者: Wei X.; Zhang L.; Luo J.; Liu D.
 收藏  |  浏览/下载:37/0  |  提交时间:2021/09/01 Convolutional neural network Generalization ability Hybrid model Landslide susceptibility mapping TRIGRS |
| Novel Machine Learning Method Integrating Ensemble Learning and Deep Learning for Mapping Debris-Covered Glaciers 期刊论文 REMOTE SENSING, 2021, 卷号: 13, 期号: 13 作者: Lu, Yijie; Zhang, Zhen; Shangguan, Donghui; Yang, Junhua
 收藏  |  浏览/下载:18/0  |  提交时间:2022/04/28 CONVOLUTIONAL NEURAL-NETWORK RANDOM FOREST TIBETAN PLATEAU EASTERN PAMIR CLASSIFICATION BASIN IMAGES MODEL INVENTORY ACCURACY |
| 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:28/0  |  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:33/0  |  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 |
| Influence of human activity on landslide susceptibility development in the Three Gorges area 期刊论文 Natural Hazards, 2020, 卷号: 104, 期号: 3 作者: Li Y.; Wang X.; Mao H.
 收藏  |  浏览/下载:246/0  |  提交时间:2021/09/01 Convolutional neural network Human activity Landslide susceptibility Multiresolution segmentation |
| Estimating ground-level PM2.5 using micro-satellite images by a convolutional neural network and random forest approach 期刊论文 ATMOSPHERIC ENVIRONMENT, 2020, 卷号: 230 作者: Zheng T.; Bergin M.H.; Hu S.; Miller J.; Carlson D.E.
 收藏  |  浏览/下载:30/0  |  提交时间:2022/01/18 CNN Computer vision Convolutional neural network Fine particulate matter (PM2.5) prediction Random forest RF Satellite imagery |