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NASA Supercomputing Study Breaks Ground for Tree Mapping, Carbon Research 新闻
来源平台:NASA Global Climate Change. 发布日期:2020
作者:  admin
收藏  |  浏览/下载:2/0  |  提交时间:2020/10/26
NASA supercomputing study breaks ground for tree mapping, carbon research 新闻
来源平台:EurekAlert. 发布日期:2020
作者:  admin
收藏  |  浏览/下载:8/0  |  提交时间:2020/10/19
Supercomputing Study Breaks Ground for Tree Mapping, Carbon Research 新闻
来源平台:Science Daily. 发布日期:2020
作者:  admin
收藏  |  浏览/下载:10/0  |  提交时间:2020/10/19
AI taught to rapidly assess disaster damage so humans know where help is needed most 新闻
来源平台:EurekAlert. 发布日期:2020
作者:  admin
收藏  |  浏览/下载:5/0  |  提交时间:2020/10/12
Artificial intelligence learns continental hydrology 新闻
来源平台:EurekAlert. 发布日期:2020
作者:  admin
收藏  |  浏览/下载:1/0  |  提交时间:2020/08/28
Artificial Intelligence Learns Continental Hydrology 新闻
来源平台:Science Daily. 发布日期:2020
作者:  admin
收藏  |  浏览/下载:3/0  |  提交时间:2020/08/28
Germany-wide rainfall measurements by utilizing the mobile network 新闻
来源平台:EurekAlert. 发布日期:2020
作者:  admin
收藏  |  浏览/下载:2/0  |  提交时间:2020/08/09
Germany-Wide Rainfall Measurements by Utilizing the Mobile Network 新闻
来源平台:Science Daily. 发布日期:2020
作者:  admin
收藏  |  浏览/下载:9/0  |  提交时间:2020/08/09
Characterizing soundscapes across diverse ecosystems using a universal acoustic feature set 期刊论文
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020, 117 (29) : 17049-17055
作者:  Sethi, Sarab S.;  Jones, Nick S.;  Fulcher, Ben D.;  Picinali, Lorenzo;  Clink, Dena Jane;  Klinck, Holger;  Orme, C. David L.;  Wrege, Peter H.;  Ewers, Robert M.
收藏  |  浏览/下载:24/0  |  提交时间:2020/07/09
machine learning  acoustic  soundscape  monitoring  ecology  
Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (6)
作者:  Kang, Yanghui;  Ozdogan, Mutlu;  Zhu, Xiaojin;  Ye, Zhiwei;  Hain, Christopher;  Anderson, Martha
收藏  |  浏览/下载:15/0  |  提交时间:2020/07/02
crop yields  climate impact  machine learning  deep learning  data-driven