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A hybrid deep learning framework for air quality prediction with spatial autocorrelation during the COVID-19 pandemic
China implemented a strict lockdown policy to prevent the spread of COVID-19 in the worst-affected regions, including Wuhan and Shanghai. This study aims to investigate impact of these lockdowns on air quality index (AQI) using a deep learning framework. In addition to historical pollutant concentra...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9848720/ https://www.ncbi.nlm.nih.gov/pubmed/36653488 http://dx.doi.org/10.1038/s41598-023-28287-8 |