Systematic Review of Machine Learning and Deep Learning Techniques for Spatiotemporal Air Quality Prediction
<b>Background:</b> Although computational models are advancing air quality prediction, achieving the desired performance or accuracy of prediction remains a gap, which impacts the implementation of machine learning (ML) air quality prediction models. Several models have been employed and some hybrid...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2024-11-01
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| coleção: | Atmosphere |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2073-4433/15/11/1352 |
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