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Artificial Intelligence (AI) helps to detect precursors of tropical cyclones 新闻
来源平台：Japan Agency for Marine-Earth Science and Technology. 发布日期：2018
作者:  admin
收藏  |  浏览/下载：1/0  |  提交时间：2019/04/16
Funding to assess shipping emissions and climate hazards 新闻
来源平台：British Antarctic Survey. 发布日期：2018
作者:  admin
收藏  |  浏览/下载：5/0  |  提交时间：2020/04/16
Measuring human perceptions of a large-scale urban region using machine learning 期刊论文
LANDSCAPE AND URBAN PLANNING, 2018, 180: 148-160
作者:  Zhang, Fan;  Zhou, Bolei;  Liu, Liu;  Liu, Yu;  Fung, Helene H.;  Lin, Hui;  Ratti, Carlo
收藏  |  浏览/下载：11/0  |  提交时间：2019/04/09
Urban perception  Place semantics  Street-level imagery  Deep learning  Built environment  
A High-Resolution Global Map of Soil Hydraulic Properties Produced by a Hierarchical Parameterization of a Physically Based Water Retention Model 期刊论文
WATER RESOURCES RESEARCH, 2018, 54 (12) : 9774-9790
作者:  Zhang, Yonggen;  Schaap, Marcel G.;  Zha, Yuanyuan
收藏  |  浏览/下载：6/0  |  提交时间：2019/04/09
hydraulic property  water content  pressure head  vadose zone  pedotransfer  global map  
Predicting geogenic Arsenic in Drinking Water Wells in Glacial Aquifers, North-Central USA: Accounting for Depth-Dependent Features 期刊论文
WATER RESOURCES RESEARCH, 2018, 54 (12) : 10172-10187
作者:  Erickson, M. L.;  Elliott, S. M.;  Christenson, C. A.;  Krall, A. L.
收藏  |  浏览/下载：8/0  |  提交时间：2019/04/09
groundwater  arsenic  probability model  geochemistry  machine learning  domestic well  
Response to Comment on "Predicting reaction performance in C-N cross-coupling using machine learning" 期刊论文
SCIENCE, 2018, 362 (6416)
作者:  Estrada, Jesus G.;  Ahneman, Derek T.;  Sheridan, Robert P.;  Dreher, Spencer D.;  Doyle, Abigail G.
收藏  |  浏览/下载：4/0  |  提交时间：2019/11/27
A Ranking of Hydrological Signatures Based on Their Predictability in Space 期刊论文
WATER RESOURCES RESEARCH, 2018, 54 (11) : 8792-8812
作者:  Addor, N.;  Nearing, G.;  Prieto, C.;  Newman, A. J.;  Le Vine, N.;  Clark, M. P.
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
hydrological signatures  large-sample hydrology  catchment behavior  machine learning  spatial autocorrelation  
Identifying an efficient, thermally robust inorganic phosphor host via machine learning 期刊论文
NATURE COMMUNICATIONS, 2018, 9
作者:  Zhuo, Ya;  Tehrani, Aria Mansouri;  Oliynyk, Anton O.;  Duke, Anna C.;  Brgoch, Jakoah
收藏  |  浏览/下载：7/0  |  提交时间：2019/11/27
Uncertainty Quantification for Subsurface Flow and Transport: Coping With Nonlinearity/Irregularity via Polynomial Chaos Surrogate and Machine Learning 期刊论文
WATER RESOURCES RESEARCH, 2018, 54 (10) : 7733-7751
作者:  Meng, J.;  Li, H.
收藏  |  浏览/下载：0/0  |  提交时间：2019/04/09
Multi-million-pound project will put Devon at the forefront of solving global environmental and big data challenges 新闻
来源平台：Plymouth Marine Laboratory. 发布日期：2018
作者:  admin
收藏  |  浏览/下载：0/0  |  提交时间：2019/04/16