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期刊论文 [63]
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2019 [63]
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globalchange

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Implications of land use/land cover dynamics and Prosopis invasion on ecosystem service values in Afar Region, Ethiopia [期刊论文]
SCIENCE OF THE TOTAL ENVIRONMENT, 2019-01-01, 675) : 354-366
Shiferaw, Hailu;  Bewket, Woldeamlak;  Alamirew, Tena;  Zeleke, Gete;  Teketay, Demel;  Bekele, Ketema;  Schaffner, Urs;  Eckert, Sandra
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Hydrological Responses to the Future Climate Change in a Data Scarce Region, Northwest China: Application of Machine Learning Models [期刊论文]
WATER, 2019-01-01, 11 (8
Zhu, Rui;  Yang, Linshan;  Liu, Tao;  Wen, Xiaohu;  Zhang, Liming;  Chang, Yabin
View/Download：11/0
 
Potato Yield Prediction Using Machine Learning Techniques and Sentinel 2 Data [期刊论文]
REMOTE SENSING, 2019-01-01, 11 (15
Gomez, Diego;  Salvador, Pablo;  Sanz, Julia;  Luis Casanova, Jose
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Flood Risk Assessment of Global Watersheds Based on Multiple Machine Learning Models [期刊论文]
WATER, 2019-01-01, 11 (8
Li, Xiangnan;  Yan, Denghua;  Wang, Kun;  Weng, Baisha;  Qin, Tianling;  Liu, Siyu
View/Download：11/0
 
The Recent Development of Artificial Intelligence for Smart and Sustainable Energy Systems and Applications [期刊论文]
ENERGIES, 2019-01-01, 12 (16
Lytras, Miltiadis D.;  Chui, Kwok Tai
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Geographical Distribution of Fungal Plant Pathogens in Dust Across the United States [期刊论文]
FRONTIERS IN ECOLOGY AND EVOLUTION, 2019-01-01, 7
Dietzel, Kristin;  Valle, Denis;  Fierer, Noah;  U';  Ren, Jana M.;  Barberan, Albert
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Prediction of CO2 absorption by physical solvents using a chemoinformatics-based machine learning model [期刊论文]
ENVIRONMENTAL CHEMISTRY LETTERS, 2019-01-01, 17 (3) : 1397-1404
Li, Hao;  Yang, Dan;  Zhang, Zhien;  Lichtfouse, Eric
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Urban-rural disparities of household energy requirements and influence factors in China: Classification tree models [期刊论文]
APPLIED ENERGY, 2019-01-01, 250) : 1321-1335
Chen, Guangwu;  Zhu, Yuhan;  Wiedmann, Thomas;  Yao, Lina;  Xu, Lixiao;  Wang, Yafei
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Soil Organic Matter Temperature Sensitivity Cannot be Directly Inferred From Spatial Gradients [期刊论文]
Global Biogeochemical Cycles, 2019-01-01, 33 (6
Abramoff R.Z.;  Torn M.S.;  Georgiou K.;  Tang J.;  Riley W.J.
View/Download：4/0
 
A Machine Learning (kNN) Approach to Predicting Global Seafloor Total Organic Carbon [期刊论文]
Global Biogeochemical Cycles, 2019-01-01, 33 (1
Lee T.R.;  Wood W.T.;  Phrampus B.J.
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