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Air quality prediction model based on mRMR–RF feature selection and ISSA–LSTM
Severe air pollution poses a significant threat to public safety and human health. Predicting future air quality conditions is crucial for implementing pollution control measures and guiding residents' activity choices. However, traditional single-module machine learning models suffer from long...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406845/ https://www.ncbi.nlm.nih.gov/pubmed/37550459 http://dx.doi.org/10.1038/s41598-023-39838-4 |