Large-scale spatiotemporal deep learning predicting urban residential indoor PM2.5 concentration
Indoor PM2.5 pollution is one of the leading causes of death and disease worldwide. As monitoring indoor PM2.5 concentrations on a large scale is challenging, it is urgent to assess population-level exposure and related health risks to develop an easy-to-use and generalized model to predict indoor P...
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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2023-12-01
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| coleção: | Environment International |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S0160412023006165 |
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