Assessing and Validating the Ability of Machine Learning to Handle Unrefined Particle Air Pollution Mobile Monitoring Data Randomly, Spatially, and Spatiotemporally

Many epidemiological studies have evaluated the accuracy of machine learning models in predicting levels of particulate number (PN) and black carbon (BC) pollutant concentrations. However, few studies have investigated the ability of machine learning to predict the pollutant concentration with using...

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Detalles Bibliográficos
Autores principales: Alazmi, Asmaa, Rakha, Hesham
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9408314/
https://www.ncbi.nlm.nih.gov/pubmed/36011733
http://dx.doi.org/10.3390/ijerph191610098

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9408314/
https://www.ncbi.nlm.nih.gov/pubmed/36011733
http://dx.doi.org/10.3390/ijerph191610098

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