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Roadside Air Quality Forecasting in Shanghai with a Novel Sequence-to-Sequence Model.
Wang, Dongsheng; Wang, Hong-Wei; Li, Chao; Lu, Kai-Fa; Peng, Zhong-Ren; Zhao, Juanhao; Fu, Qingyan; Pan, Jun.
Afiliação
  • Wang D; Center for Intelligent Transportation Systems and Unmanned Aerial Systems Applications Research, State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
  • Wang HW; Center for Intelligent Transportation Systems and Unmanned Aerial Systems Applications Research, State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
  • Li C; Center for Intelligent Transportation Systems and Unmanned Aerial Systems Applications Research, State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
  • Lu KF; Center for Intelligent Transportation Systems and Unmanned Aerial Systems Applications Research, State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
  • Peng ZR; International Center for Adaptation Planning and Design, College of Design, Construction and Planning, University of Florida, P.O. Box 115706, Gainesville, FL 32611-5706, USA.
  • Zhao J; Department of Computer Science, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA.
  • Fu Q; Shanghai Environmental Monitoring Center, Shanghai 200235, China.
  • Pan J; Shanghai Environmental Monitoring Center, Shanghai 200235, China.
Int J Environ Res Public Health ; 17(24)2020 12 17.
Article em En | MEDLINE | ID: mdl-33348819
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Poluição do Ar / Modelos Teóricos Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Poluição do Ar / Modelos Teóricos Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China