Potential of Coupling Metaheuristics-Optimized-XGBoost and SHAP in Revealing PAHs Environmental Fate

Polycyclic aromatic hydrocarbons (PAHs) refer to a group of several hundred compounds, among which 16 are identified as priority pollutants, due to their adverse health effects, frequency of occurrence, and potential for human exposure. This study is focused on benzo(a)pyrene, being considered an in...

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Autori principali:	Gordana Jovanovic, Mirjana Perisic, Nebojsa Bacanin, Miodrag Zivkovic, Svetlana Stanisic, Ivana Strumberger, Filip Alimpic, Andreja Stojic
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2023-04-01
Serie:	Toxics
Soggetti:	machine learning extreme gradient boosting metaheuristics optimization swarm intelligence explainable artificial intelligence sine cosine algorithm
Accesso online:	https://www.mdpi.com/2305-6304/11/4/394
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