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Spatio-Temporal Prediction for the Monitoring-Blind Area of Industrial Atmosphere Based on the Fusion Network.
Bai, Yu-Ting; Wang, Xiao-Yi; Sun, Qian; Jin, Xue-Bo; Wang, Xiao-Kai; Su, Ting-Li; Kong, Jian-Lei.
Afiliação
  • Bai YT; School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China. baiyuting@btbu.edu.cn.
  • Wang XY; Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048, China. baiyuting@btbu.edu.cn.
  • Sun Q; School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China. wangxy@btbu.edu.cn.
  • Jin XB; Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048, China. wangxy@btbu.edu.cn.
  • Wang XK; School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China. sunqian@btbu.edu.cn.
  • Su TL; Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048, China. sunqian@btbu.edu.cn.
  • Kong JL; School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China. jinxuebo@btbu.edu.cn.
Int J Environ Res Public Health ; 16(20)2019 10 09.
Article em En | MEDLINE | ID: mdl-31600885
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 2_ODS3 Problema de saúde: 2_quimicos_contaminacion Assunto principal: Atmosfera / Monitoramento Ambiental / Indústrias Tipo de estudo: Prognostic_studies / Risk_factors_studies País/Região como assunto: Asia Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 2_ODS3 Problema de saúde: 2_quimicos_contaminacion Assunto principal: Atmosfera / Monitoramento Ambiental / Indústrias Tipo de estudo: Prognostic_studies / Risk_factors_studies País/Região como assunto: Asia Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China