A comprehensive evaluation of deep learning approaches for ground-level ozone prediction across different regions

Recently, the issue of near-surface ozone pollution has become a growing concern. To effectively manage and control ozone pollution, emerging deep learning (DL) techniques have been applied for future ozone concentration trend prediction, generating promising outcomes. However, existing studies empl...

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Detalles Bibliográficos

Principais autores:	Guanjun Lin, Hang Zhao, Yufeng Chi
Formato:	Artigo
Idioma:	Inglês
Publicado:	Elsevier 2025-05-01
Series:	Ecological Informatics
Assuntos:	Ozone concentration prediction Deep learning models Performance evaluation Influential meteorological factors
Acceso en liña:	http://www.sciencedirect.com/science/article/pii/S1574954125000330
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