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期刊论文 [11]
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Gap-filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component analysis [期刊论文]
Global Change Biology, 2020-01-01, 26 (3
Kim Y.;  Johnson M.S.;  Knox S.H.;  Black T.A.;  Dalmagro H.J.;  Kang M.;  Kim J.;  Baldocchi D.
View/Download：29/0
 
Ensemble averaging based assessment of spatiotemporal variations in ambient PM2.5 concentrations over Delhi, India, during 2010–2016 [期刊论文]
Atmospheric Environment, 2020-01-01, 224
Mandal S.;  Madhipatla K.K.;  Guttikunda S.;  Kloog I.;  Prabhakaran D.;  Schwartz J.D.;  GeoHealth Hub India Team
View/Download：9/0
 
A comparison of statistical and machine learning methods for creating national daily maps of ambient PM2.5 concentration [期刊论文]
Atmospheric Environment, 2020-01-01, 222
Berrocal V.J.;  Guan Y.;  Muyskens A.;  Wang H.;  Reich B.J.;  Mulholland J.A.;  Chang H.H.
View/Download：12/0
 
Ensemble averaging based assessment of spatiotemporal variations in ambient PM2.5 concentrations over Delhi, India, during 2010–2016 [期刊论文]
Atmospheric Environment, 2020-01-01, 224
Mandal S.;  Madhipatla K.K.;  Guttikunda S.;  Kloog I.;  Prabhakaran D.;  Schwartz J.D.;  GeoHealth Hub India Team
View/Download：15/0
 
A comparison of statistical and machine learning methods for creating national daily maps of ambient PM2.5 concentration [期刊论文]
Atmospheric Environment, 2020-01-01, 222
Berrocal V.J.;  Guan Y.;  Muyskens A.;  Wang H.;  Reich B.J.;  Mulholland J.A.;  Chang H.H.
View/Download：20/0
 
Design of an integrated climatic assessment indicator (ICAI) for wheat production: A case study in Jiangsu Province, China [期刊论文]
ECOLOGICAL INDICATORS, 2019-01-01, 101) : 943-953
Xu, Xiangying;  Gao, Ping;  Zhu, Xinkai;  Guo, Wenshan;  Ding, Jinfeng;  Li, Chunyan;  Zhu, Min;  Wu, Xuanwei
View/Download：10/0
 
Evaluation of Machine Learning Algorithms for Surface Water Extraction in a Landsat 8 Scene of Nepal [期刊论文]
SENSORS, 2019-01-01, 19 (12
Acharya, Tri Dev;  Subedi, Anoj;  Lee, Dong Ha
View/Download：2/0
 
The Integration of Multi-source Remotely-Sensed Data in Support of the Classification of Wetlands [期刊论文]
REMOTE SENSING, 2019-01-01, 11 (13
Judah, Aaron;  Hu, Baoxin
View/Download：0/0
 
Combination of support vector machine, artificial neural network and random forest for improving the classification of convective and stratiform rain using spectral features of SEVIRI data [期刊论文]
Atmospheric Research, 2018-01-01, 203
Lazri M.;  Ameur S.
View/Download：2/0
 
Using multi-model ensembles of CMIP5 global climate models to reproduce observed monthly rainfall and temperature with machine learning methods in Australia [期刊论文]
International Journal of Climatology, 2018-01-01, 38 (13
Wang B.;  Zheng L.;  Liu D.L.;  Ji F.;  Clark A.;  Yu Q.
View/Download：2/0
 

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