Improving PM2.5 prediction in New Delhi using a hybrid extreme learning machine coupled with snake optimization algorithm

Abstract Fine particulate matter (PM2.5) 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 PM2.5 concentration is critical for raising public awareness, allowing sensitive...

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Bibliographic Details
Main Authors: Adil Masood, Mohammed Majeed Hameed, Aman Srivastava, Quoc Bao Pham, Kafeel Ahmad, Siti Fatin Mohd Razali, Souad Ahmad Baowidan
Format: Article
Language:English
Published: Nature Portfolio 2023-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-47492-z