Harnessing machine learning for seismic event discrimination in deep underground mining: a case study from Western Australia
This paper presents a comprehensive study on applying machine learning (ML) techniques to discriminate seismic events in deep underground mining from blast and noise records using data collected from the Vivien gold mine in Western Australia. The dataset/catalogue comprises parameters derived from s...
| Main Authors: | , , , , , |
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| Format: | Conference Paper |
| Published: |
2024
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| Online Access: | http://hdl.handle.net/20.500.11937/95909 |