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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Bibliografski detalji

Glavni autori:	Luka Jovanovic, Gordana Jovanovic, Mirjana Perisic, Filip Alimpic, Svetlana Stanisic, Nebojsa Bacanin, Miodrag Zivkovic, Andreja Stojic
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2023-01-01
Serija:	Atmosphere
Teme:	machine learning extreme gradient boosting metaheuristics swarm intelligence explainable artificial intelligence volatile organic compounds
Online pristup:	https://www.mdpi.com/2073-4433/14/1/109
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