Machine learning methods to predict particulate matter PM (2.5)

Introduction Pollution of air in urban cities across the world has been steadily increasing in recent years. An increasing trend in particulate matter, PM (2.5), is a threat because it can lead to uncontrollable consequences like worsening of asthma and cardiovascular disease. The metric used to mea...

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Detalles Bibliográficos
Autores principales: Palanichamy, Naveen, Haw, Su-Cheng, S, Subramanian, Murugan, Rishanti, Govindasamy, Kuhaneswaran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723408/
https://www.ncbi.nlm.nih.gov/pubmed/36531254
http://dx.doi.org/10.12688/f1000research.73166.1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723408/
https://www.ncbi.nlm.nih.gov/pubmed/36531254
http://dx.doi.org/10.12688/f1000research.73166.1

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