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Machine learning based estimation of land productivity in the contiguous US using biophysical predictors 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (7)
作者:  Yang, Pan;  Zhao, Qiankun;  Cai, Ximing
收藏  |  浏览/下载：12/0  |  提交时间：2020/08/18
land productivity  marginal land  land use  machine learning  
Leveraging machine learning for predicting flash flood damage in the Southeast US 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (2)
作者:  Alipour, Atieh;  Ahmadalipour, Ali;  Abbaszadeh, Peyman;  Moradkhani, Hamid
收藏  |  浏览/下载：8/0  |  提交时间：2020/07/02
flash flood  risk  flood damage  machine learning  
Monitoring hydropower reliability in Malawi with satellite data and machine learning 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (1)
作者:  Falchetta, Giacomo;  Kasamba, Chisomo;  Parkinson, Simon C.
收藏  |  浏览/下载：8/0  |  提交时间：2020/07/02
hydroelectricity  vulnerability  extreme hydroclimatic events  energy-climate-water nexus  random forests  remote sensing  
Preventing undesirable behavior of intelligent machines 期刊论文
SCIENCE, 2019, 366 (6468) : 999-+
作者:  Thomas, Philip S.;  da Silva, Bruno Castro;  Barto, Andrew G.;  Giguere, Stephen;  Brun, Yuriy;  Brunskill, Emma
收藏  |  浏览/下载：10/0  |  提交时间：2020/02/17
Perceptions of emerging biotechnologies 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (11)
作者:  Azodi, Christina B.;  Dietz, Thomas
收藏  |  浏览/下载：7/0  |  提交时间：2020/02/17
biotechnology  public opinion  values  machine learning  
Satellite-detected gain in built-up area as a leading economic indicator 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (11)
作者:  Ying, Qing;  Hansen, Matthew C.;  Sun, Laixiang;  Wang, Lei;  Steininger, Marc
收藏  |  浏览/下载：8/0  |  提交时间：2020/02/17
leading economic indicator  built-up area  anthropogenic bare ground gain  global and regional scale  the great recession  spatio-temporal dynamics  landsat  
Machine learning transforms how microstates are sampled 期刊论文
SCIENCE, 2019, 365 (6457) : 982-983
作者:  Tackerman, Mark E.
收藏  |  浏览/下载：0/0  |  提交时间：2019/11/27
Integration in the European electricity market: A machine learning-based convergence analysis for the Central Western Europe region 期刊论文
ENERGY POLICY, 2019, 132: 549-566
作者:  Saez, Yago;  Mochon, Asuncion;  Corona, Luis;  Isasi, Pedro
收藏  |  浏览/下载：12/0  |  提交时间：2019/11/27
European electricity market  CWE region  Flow-based market coupling  Random forest  Machine learning  Decision trees  
How can Big Data and machine learning benefit environment and water management: a survey of methods, applications, and future directions 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (7)
作者:  Sun, Alexander Y.;  Scanlon, Bridget R.
收藏  |  浏览/下载：8/0  |  提交时间：2019/11/27
machine learning  deep learning  predictive analytics  artificial intelligence  environmental management  big Data  remote sensing  
An analysis of errors in the Energy Performance certificate database 期刊论文
ENERGY POLICY, 2019, 129: 1168-1178
作者:  Hardy, A.;  Glew, D.
收藏  |  浏览/下载：1/0  |  提交时间：2019/11/26
Energy performance directive  Energy performance certificates  Retrofit  England  Wales  Dwellings