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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| Auteurs principaux: | , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2023-10-01
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| Collection: | Sensors |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/1424-8220/23/21/8863 |
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