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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...
Autores principales: | Iskandaryan, Ditsuhi, Ramos, Francisco, Trilles, Sergio |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
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 |
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