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Machine Learning: New Ideas and Tools in Environmental Science and Engineering.
Zhong, Shifa; Zhang, Kai; Bagheri, Majid; Burken, Joel G; Gu, April; Li, Baikun; Ma, Xingmao; Marrone, Babetta L; Ren, Zhiyong Jason; Schrier, Joshua; Shi, Wei; Tan, Haoyue; Wang, Tianbao; Wang, Xu; Wong, Bryan M; Xiao, Xusheng; Yu, Xiong; Zhu, Jun-Jie; Zhang, Huichun.
Afiliación
  • Zhong S; Department of Civil and Environmental Engineering, Case Western Reserve University, Cleveland, Ohio 44106, United States.
  • Zhang K; Department of Civil and Environmental Engineering, Case Western Reserve University, Cleveland, Ohio 44106, United States.
  • Bagheri M; Department of Civil, Architectural, and Environmental Engineering, Missouri University of Science and Technology, Rolla, Missouri 65409, United States.
  • Burken JG; Department of Civil, Architectural, and Environmental Engineering, Missouri University of Science and Technology, Rolla, Missouri 65409, United States.
  • Gu A; Department of Civil and Environmental Engineering, Cornell University, Ithaca, New York 14850, United States.
  • Li B; Department of Civil and Environmental Engineering, University of Connecticut, Storrs, Connecticut 06269, United States.
  • Ma X; Department of Civil and Environmental Engineering, Texas A&M University, College Station, Texas, 77843, United States.
  • Marrone BL; Bioscience Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States.
  • Ren ZJ; Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey 08544, United States.
  • Schrier J; Department of Chemistry, Fordham University, The Bronx, New York 10458 United States.
  • Shi W; School of Environment, Nanjing University, Nanjing, 210093 China.
  • Tan H; School of Environment, Nanjing University, Nanjing, 210093 China.
  • Wang T; Department of Civil and Environmental Engineering, University of Connecticut, Storrs, Connecticut 06269, United States.
  • Wang X; School of Civil and Environmental Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China.
  • Wong BM; Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
  • Xiao X; Department of Chemical & Environmental Engineering, Materials Science & Engineering Program, University of California-Riverside, Riverside, California 92521 United States.
  • Yu X; Department of Computer and Data Sciences, Case Western Reserve University, Cleveland, Ohio 44106, United States.
  • Zhu JJ; Department of Civil and Environmental Engineering, Case Western Reserve University, Cleveland, Ohio 44106, United States.
  • Zhang H; Department of Civil and Environmental Engineering, Princeton University, Princeton, New Jersey 08544, United States.
Environ Sci Technol ; 55(19): 12741-12754, 2021 10 05.
Article en En | MEDLINE | ID: mdl-34403250
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Ciencia Ambiental Tipo de estudio: Prognostic_studies Idioma: En Revista: Environ Sci Technol Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
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PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Ciencia Ambiental Tipo de estudio: Prognostic_studies Idioma: En Revista: Environ Sci Technol Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos