Year: 2024
Type: article
Abstract: The impact of pollution on human health is very well known and affects more and more economic and social activities. Since the authorities do not always have the necessary equipment and trained personnel for pollution monitoring, we observed the need to develop algorithms for approximating different polluting values. This paper is a review of the main algorithmic approaches to estimate pollutant values. Most of the proposed approaches are based on machine learning, neural networks and decision trees.
Author: Corina Dima
Institution: "Dunarea de Jos" University of Galati
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4404505454