Event recognition technology and short-term rockburst early warning model based on microseismic monitoring and ensemble learning
Abstract Rockbursts are a significant geological hazard in deep underground engineering, and accurate short-term risk prediction can mitigate safety risks to personnel and equipment. However, challenges remain in the intelligent processing of microseismic(MS) data and effective rockburst prediction....
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-03657-6 |
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