Published in Geophysical Research Letters · View the paper (DOI)
A computer science approach using machine learning predicts the time remaining before a fault fails by analyzing acoustic signals emitted during laboratory-created earthquakes. The technique identifies new signals, previously thought to be low-amplitude noise, that provide forecasting information throughout the earthquake cycle.
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