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Deep-learning architecture for PM<sub>2.5</sub> concentration prediction: A review.

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第一作者： Shiyun,Zhou

第一单位： Institute of Environmental Information, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.;School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.

作者： Shiyun,Zhou ^[1] ; Wei,Wang ^[2] ; Long,Zhu ^[3] ; Qi,Qiao ^[2] ; Yulin,Kang ^[2]

作者单位： Institute of Environmental Information, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.;School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China. ^[1] Institute of Environmental Information, Chinese Research Academy of Environmental Sciences, Beijing 100012, China. ^[2] College of Water Sciences, Beijing Normal University, Beijing 100875, China. ^[3]

关键词 Bibliometrics analysis Deep-learning based model Evaluation framework PM2.5 concentration prediction

DOI 10.1016/j.ese.2024.100400

PMID 38439920

发布时间 2024-03-06

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Deep-learning architecture for PM<sub>2.5</sub> concentration prediction: A review.

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Deep-learning architecture for PM<sub>2.5</sub> concentration prediction: A review.

Environmental science and ecotechnology

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