Supervised and unsupervised general framework for rockburst risk prediction based on feature contrast of long-term and short-term microseismic data
Abstract Short-term rockburst risk prediction based on microseismic (MS) data is a significant research task to overcome the rockburst challenge during the excavation stage. By reviewing previous short-term rockburst risk prediction methods based on MS data, this paper discovers three problems that...
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| Asıl Yazarlar: | , , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Springer
2025-11-01
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| Seri Bilgileri: | Geomechanics and Geophysics for Geo-Energy and Geo-Resources |
| Konular: | |
| Online Erişim: | https://doi.org/10.1007/s40948-025-01057-8 |
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