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Open access Aug 2026

Predictive Maintenance in Logistics Fleets: A Comparative Evaluation of Random Forest, XGBoost, and Logistic Regression Using Operational and Technical Indicators

Background: Predictive maintenance (PdM) is increasingly recognized as essential for reducing fleet downtime and maintenance costs, yet the existing literature on transport and logistics fleets relies predominantly on traditional or single-model approaches, with ensemble methods such as random forest and gradient boost...

Małgorzata Grzelak, D. Voicu, R. Stoica et al. · 0 citations

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