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A Spatial-Temporal Causal Convolution Network Framework for Accurate and Fine-Grained PM2.5 Concentration Prediction.
Lin, Shaofu; Zhao, Junjie; Li, Jianqiang; Liu, Xiliang; Zhang, Yumin; Wang, Shaohua; Mei, Qiang; Chen, Zhuodong; Gao, Yuyao.
Afiliação
  • Lin S; Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China.
  • Zhao J; Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China.
  • Li J; Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China.
  • Liu X; Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China.
  • Zhang Y; Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China.
  • Wang S; State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China.
  • Mei Q; Navigation College, Jimei University, Xiamen 361021, China.
  • Chen Z; China National Petroleum Corporation Auditing Service Center, Beijing 100028, China.
  • Gao Y; Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China.
Entropy (Basel) ; 24(8)2022 Aug 15.
Article em En | MEDLINE | ID: mdl-36010788
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article