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physics.geo-ph2019
Machine Learning Reveals the Seismic Signature of Eruptive Behavior at Piton de la Fournaise Volcano
C. X. Ren, A. Peltier, V. Ferrazzini +3
Volcanic tremor is key to our understanding of active magmatic systems but, due to its complexity, there is still a debate concerning its origins and how it can be used to characte…
physics.geo-ph2019
Machine Learning Reveals the State of Intermittent Frictional Dynamics in a Sheared Granular Fault
C. X. Ren, O. Dorostkar, B. Rouet-Leduc +5
Seismogenic plate boundaries are presumed to behave in a similar manner to a densely packed granular medium, where fault and blocks systems rapidly rearrange the distribution of fo…
physics.geo-ph2018
Earthquake Detection in 1-D Time Series Data with Feature Selection and Dictionary Learning
Zheng Zhou, Youzuo Lin, Zhongping Zhang +2
Earthquakes can be detected by matching spatial patterns or phase properties from 1-D seismic waves. Current earthquake detection methods, such as waveform correlation and template…