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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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| Pubblicato in: | Sci Rep |
|---|---|
| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group UK
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7710732/ https://ncbi.nlm.nih.gov/pubmed/33268885 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-77757-w |
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