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

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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Bibliographic Details
Main Authors: Luka Jovanovic, Gordana Jovanovic, Mirjana Perisic, Filip Alimpic, Svetlana Stanisic, Nebojsa Bacanin, Miodrag Zivkovic, Andreja Stojic
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Atmosphere
Subjects:
machine learning
extreme gradient boosting
metaheuristics
swarm intelligence
explainable artificial intelligence
volatile organic compounds
Online Access:https://www.mdpi.com/2073-4433/14/1/109

Internet

https://www.mdpi.com/2073-4433/14/1/109

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