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Open access Sep 2026

Advancing water-conducting fracture zone height prediction in coal mining via hybrid XGBoost models with interpretability analysis

The height of the water-conducting fracture zone (WCFZH) is a crucial indicator for assessing mining-induced damage in coal mines. Accurate and interpretable prediction of WCFZH is essential for disaster prevention and safe mining. Therefore, this paper combines extreme gradient boosting (XGBoost) with heuristic intell...

Xuan Cui, Sheng-Li Yang, Ang Liu et al. · 0 citations

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