The Explainable Potential of Coupling Metaheuristics-Optimized-XGBoost and SHAP in Revealing VOCs’ Environmental Fate

In this paper, we explore the computational capabilities of advanced modeling tools to reveal the factors that shape the observed benzene levels and behavior under different environmental conditions. The research was based on two-year hourly data concentrations of inorganic gaseous pollutants, parti...

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Principais autores:	Luka Jovanovic, Gordana Jovanovic, Mirjana Perisic, Filip Alimpic, Svetlana Stanisic, Nebojsa Bacanin, Miodrag Zivkovic, Andreja Stojic
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-01-01
coleção:	Atmosphere
Assuntos:	machine learning extreme gradient boosting metaheuristics swarm intelligence explainable artificial intelligence volatile organic compounds
Acesso em linha:	https://www.mdpi.com/2073-4433/14/1/109
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