Spatiotemporal adaptive attention graph convolution network for city-level air quality prediction

Air pollution is a leading cause of human diseases. Accurate air quality predictions are critical to human health. However, it is difficult to extract spatiotemporal features among complex spatiotemporal dependencies effectively. Most existing methods focus on constructing multiple spatial dependenc...

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Detalles Bibliográficos
Autores principales: Liu, Hexiang, Han, Qilong, Sun, Hui, Sheng, Jingyu, Yang, Ziyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432486/
https://www.ncbi.nlm.nih.gov/pubmed/37587186
http://dx.doi.org/10.1038/s41598-023-39286-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432486/
https://www.ncbi.nlm.nih.gov/pubmed/37587186
http://dx.doi.org/10.1038/s41598-023-39286-0

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