Prediction of Pollutant Concentration Based on Spatial–Temporal Attention, ResNet and ConvLSTM

Accurate and reliable prediction of air pollutant concentrations is important for rational avoidance of air pollution events and government policy responses. However, due to the mobility and dynamics of pollution sources, meteorological conditions, and transformation processes, pollutant concentrati...

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Detalles Bibliográficos

Autores principales:	Cai Chen, Agen Qiu, Haoyu Chen, Yajun Chen, Xu Liu, Dong Li
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2023-10-01
Colección:	Sensors
Materias:	pollutant concentrations residual network ConvLSTM spatial–temporal attention
Acceso en línea:	https://www.mdpi.com/1424-8220/23/21/8863
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