An improved deep learning model for predicting daily PM2.5 concentration

Over the past few decades, air pollution has caused serious damage to public health. Therefore, making accurate predictions of PM2.5 is a crucial task. Due to the transportation of air pollutants among areas, the PM2.5 concentration is strongly spatiotemporal correlated. However, the distribution of...

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Detalles Bibliográficos
Autores principales: Xiao, Fei, Yang, Mei, Fan, Hong, Fan, Guanghui, Al-qaness, Mohammed A. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7710732/
https://www.ncbi.nlm.nih.gov/pubmed/33268885
http://dx.doi.org/10.1038/s41598-020-77757-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7710732/
https://www.ncbi.nlm.nih.gov/pubmed/33268885
http://dx.doi.org/10.1038/s41598-020-77757-w

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