Application of Machine Learning to Air Pollution Studies: A Systematic Review
Marvelous Ukachukwu,
Nnemeka Uzoamaka,
Nnama Elochukwu
Abstract:
Air pollution is a serious global issue that threatens human life and health, as well as the environment. Machine learning algorithms can be used to predict air pollution level data from both natural and anthropogenic activities. Environmental and government agencies can use these speculations to issue air pollution alerts. This review work is an attempt at the recent status and development of scientific studies on the use of machine learning algorithms to model air pollution challenges. This study uses… Show more
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