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Author

Kairat Sarsembayev

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Open access Jul 2026

Rockburst Damage Scale Prediction in Underground Mines Using SMOTE-Based Resampling and Ensemble Learning

Rockburst risk in seismically active mines poses a significant threat to underground safety. This study aims to improve the prediction of rockburst-induced damage by addressing the challenge of class imbalance, which is commonly encountered in rockburst datasets. Various data-balancing techniques, including the Synthet...

Kairat Sarsembayev, A. Adoko, Rashid Afshar et al. · 0 citations

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