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Acoustic Energy Release During the Laboratory Seismic Cycle: Insights on Laboratory Earthquake Precursors and Prediction
Machine learning can predict the timing and magnitude of laboratory earthquakes using statistics of acoustic emissions. The evolution of acoustic energy is critical for lab earthquake prediction; however, the connections between acoustic energy and fault zone processes leading to failure are poorly...
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| Publicado en: | J Geophys Res Solid Earth |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
John Wiley and Sons Inc.
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7685124/ https://ncbi.nlm.nih.gov/pubmed/33282618 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1029/2019JB018975 |
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