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Maternal exposure to ambient PM10 during pregnancy increases the risk of congenital heart defects: Evidence from machine learning models 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 卷号: 630, 页码: 1-10
Authors:  Ren, Zhoupeng;  Zhu, Jun;  Gao, Yanfang;  Yin, Qian;  Hu, Maogui;  Dai, Li;  Deng, Changfei;  Yi, Lin;  Deng, Kui;  Wang, Yanping;  Li, Xiaohong;  Wang, Jinfeng
Favorite  |  View/Download:11/0  |  Submit date:2019/05/23
Congenital heart defects  Machine learning  Air pollution  Birth defects  Particulate matter  
Improving global terrestrial evapotranspiration estimation using support vector machine by integrating three process-based algorithms 期刊论文
AGRICULTURAL AND FOREST METEOROLOGY, 2017, 卷号: 242, 页码: 55-74
Authors:  Yao, Yunjun;  Liang, Shunlin;  Li, Xianglan;  Chen, Jiquan;  Liu, Shaomin;  Jia, Kun;  Zhang, Xiaotong;  Xiao, Zhiqiang;  Fisher, Joshua B.;  Mu, Qiaozhen;  Pan, Ming;  Liu, Meng;  Cheng, Jie;  Jiang, Bo;  Xie, Xianhong;  Gruenwald, Thomas;  Bernhofer, Christian;  Roupsard, Olivier
Favorite  |  View/Download:4/0  |  Submit date:2019/09/25
Terrestrial evapotranspiration  Machine learning methods  Bayesian model averaging method  Plant functional type