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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647283/ https://www.ncbi.nlm.nih.gov/pubmed/37960562 http://dx.doi.org/10.3390/s23218863 |