Smart Prediction of Rockburst Risks Using Microseismic Data and K-Nearest Neighbor Classification

Effective mitigation of geotechnical risk and safety management of underground mine requires accurate estimation of rockburst damage potential. The inherent complexity of the rockburst phenomena due to nonlinear, high dimensional, and interdependent nature of the geological factors involved, however...

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Hlavní autoři:	Mahmood Ahmad, Zia Ullah, Sabahat Hussan, Abdullah Alzlfawi, Rohayu Che Omar, Shay Haq, Feezan Ahmad, Muhammad Naveed Khalil
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-01-01
Edice:	GeoHazards
Témata:	rockburst microseismic data risk prediction KNN prediction
On-line přístup:	https://www.mdpi.com/2624-795X/7/1/5
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