Improving PM(2.5) prediction in New Delhi using a hybrid extreme learning machine coupled with snake optimization algorithm

Fine particulate matter (PM(2.5)) is a significant air pollutant that drives the most chronic health problems and premature mortality in big metropolitans such as Delhi. In such a context, accurate prediction of PM(2.5) concentration is critical for raising public awareness, allowing sensitive popul...

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Detalles Bibliográficos
Autores principales: Masood, Adil, Hameed, Mohammed Majeed, Srivastava, Aman, Pham, Quoc Bao, Ahmad, Kafeel, Razali, Siti Fatin Mohd, Baowidan, Souad Ahmad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687010/
https://www.ncbi.nlm.nih.gov/pubmed/38030733
http://dx.doi.org/10.1038/s41598-023-47492-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687010/
https://www.ncbi.nlm.nih.gov/pubmed/38030733
http://dx.doi.org/10.1038/s41598-023-47492-z

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