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| Landslide detection using visualization techniques for deep convolutional neural network models 期刊论文
Natural Hazards, 2021
作者: Hacıefendioğlu K.; Demir G.; Başağa H.B.
  收藏 | 浏览/下载：184/0 | 提交时间：2021/09/01
Convolutional neural networks Deep learning method GradCAM Inception-V3 Landslide Resnet-50 ScoreCAM VGG-19 |
| 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 |
| Graph attention convolutional neural network model for chemical poisoning of honey bees’ prediction 期刊论文
Science Bulletin, 2020, 卷号: 65, 期号: 14
作者: Wang F.; Yang J.-F.; Wang M.-Y.; Jia C.-Y.; Shi X.-X.; Hao G.-F.; Yang G.-F.
收藏 | 浏览/下载：30/0 | 提交时间：2021/09/01
Deep learning Graph attention convolutional neural networks Honey bees toxicity Molecular design Pesticide |
| Rapid assessment of mine rehabilitation areas with airborne LiDAR and deep learning: bauxite strip mining in Queensland, Australia 期刊论文
GEOCARTO INTERNATIONAL, 2020
作者: Murray, Xavier; Apan, Armando; Deo, Ravinesh; Maraseni, Tek
收藏 | 浏览/下载：28/0 | 提交时间：2022/04/28
CONCORDANCE CORRELATION-COEFFICIENT CONVOLUTIONAL NEURAL-NETWORKS TOTAL DEVIATION INDEX VEGETATION STRUCTURE DELPHI METHOD RESTORATION CLASSIFICATION AGREEMENT CNN PERFORMANCE |
