Efficient Air Quality Prediction Models Based on Supervised Machine Learning Techniques

Efficient Air Quality Prediction Models Based on Supervised Machine Learning Techniques

Air pollution is a serious concern for public health, linked to many diseases and an increase in fatalities. To tackle these issues, it's crucial to set up prediction systems allowing officials to act before high pollution levels occur. This study explores how supervised machine learning method...

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Bibliographic Details
Main Authors:	Oumoulylte Mariame, El Allaoui Ahmad, Farhaoui Yousef, Boughrous Ali Ait
Format:	Article
Language:	English
Published:	EDP Sciences 2025-01-01
Series:	E3S Web of Conferences
Online Access:	https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/32/e3sconf_joe52025_02012.pdf
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