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Comparative assessment of modeling deep learning networks for modeling ground-level ozone concentrations of pandemic lock-down period
Covid-19 pandemic lock-down has resulted significant differences in air quality levels all over the world. In contrary to decrease seen in primary pollutant species, many of the countries have experienced elevated ground-level ozone levels in this period. Air pollution forecast gains more importance...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier B.V.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759485/ https://www.ncbi.nlm.nih.gov/pubmed/36570568 http://dx.doi.org/10.1016/j.ecolmodel.2021.109676 |