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Improving spatial surrogates for area source emissions inventories in California 期刊论文
ATMOSPHERIC ENVIRONMENT, 2021, 卷号: 247
作者:  Li Y.;  Rodier C.;  Lea J.D.;  Harvey J.;  Kleeman M.J.
收藏  |  浏览/下载：31/0  |  提交时间：2022/01/18
Area-source  Construction  Landuse  Non-point source  Spatial surrogate  
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  
Strong fish assemblage patterns persist over sixteen years in a warming marine park, even with tropical shifts 期刊论文
BIOLOGICAL CONSERVATION, 2019, 卷号: 232, 页码: 152-163
作者:  Malcolm, Hamish A.;  Ferrari, Renata
收藏  |  浏览/下载：20/0  |  提交时间：2019/10/08
Biodiversity representation  Biodiversity surrogate  Climate change  East Australian Current  Spatial conservation planning  Habitat classification system