145 citations · 239 across the 5 of their papers we have counts for
5 papers
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…
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…
Using Machine Learning to Discern Eruption in Noisy Environments: A Case Study using CO2-driven Cold-Water Geyser in Chimayo, New Mexico
B. Yuan, Y. J. Tan, M. K. Mudunuru +8
We present an approach based on machine learning (ML) to distinguish eruption and precursory signals of Chimayó geyser (New Mexico, USA) under noisy environments. This geyser can b…
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…
Cascaded Region-based Densely Connected Network for Event Detection: A Seismic Application
Yue Wu, Youzuo Lin, Zheng Zhou +3
Automatic event detection from time series signals has wide applications, such as abnormal event detection in video surveillance and event detection in geophysical data. Traditiona…