Bidirectional convolutional LSTM for the prediction of nitrogen dioxide in the city of Madrid

Nitrogen dioxide is one of the pollutants with the most significant health effects. Advanced information on its concentration in the air can help to monitor and control further consequences more effectively, while also making it easier to apply preventive and mitigating measures. Machine learning te...

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Detalles Bibliográficos
Autores principales: Iskandaryan, Ditsuhi, Ramos, Francisco, Trilles, Sergio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159618/
https://www.ncbi.nlm.nih.gov/pubmed/35648766
http://dx.doi.org/10.1371/journal.pone.0269295

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159618/
https://www.ncbi.nlm.nih.gov/pubmed/35648766
http://dx.doi.org/10.1371/journal.pone.0269295

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