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RAQ–A Random Forest Approach for Predicting Air Quality in Urban Sensing Systems
Air quality information such as the concentration of PM(2.5) is of great significance for human health and city management. It affects the way of traveling, urban planning, government policies and so on. However, in major cities there is typically only a limited number of air quality monitoring stat...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732119/ https://www.ncbi.nlm.nih.gov/pubmed/26761008 http://dx.doi.org/10.3390/s16010086 |