Continuous-time air pollutant forecasting using multi-timescale attention neural ordinary differential equations (MA-NODE)

Abstract Air pollution, a major global health and environmental threat, necessitates accurate forecasting to support timely interventions and policy-making. Data-driven approaches, increasingly powered by artificial intelligence (AI), have gained traction in air quality prediction, leveraging their...

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Principais autores:	Mohammad Amin Havaei, Vahid Shahhosseini, Reza Maknoon
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2025-12-01
coleção:	Scientific Reports
Assuntos:	Neural ordinary differential equations Physics-Informed machine leaning Deep learning Air quality Air pollution forecasting
Acesso em linha:	https://doi.org/10.1038/s41598-025-27903-z
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