Machine Learning-Based Classification of Rock Bursts in an Active Coal Mine Dominated by Non-Destructive Tremors

Rock bursts are dynamic phenomena in underground openings, causing damage to support and infrastructure, and are one of the main natural hazards in underground coal mines. The prediction of rock bursts is important for improving safety in mine openings. The hazard of rock bursts is correlated with s...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Łukasz Wojtecki, Mirosława Bukowska, Sebastian Iwaszenko, Derek B. Apel
Format:	Article
Language:	English
Published:	MDPI AG 2024-06-01
Subjects:	rock burst prediction induced seismicity machine learning algorithms ADASYN balancing method ensemble classifier
Online Access:	https://www.mdpi.com/2076-3417/14/12/5209