Web: http://arxiv.org/abs/2011.04740

June 17, 2022, 1:11 a.m. | Omkar Ranadive, Suzan van der Lee, Vivian Tang, Kevin Chao

cs.LG updates on arXiv.org arxiv.org

Dynamically triggered earthquakes and tremor generate two classes of weak
seismic signals whose detection, identification, and authentication
traditionally call for laborious analyses. Machine learning (ML) has grown in
recent years to be a powerful efficiency-boosting tool in geophysical analyses,
including the detection of specific signals in time series. However, detecting
weak signals that are buried in noise challenges ML algorithms, in part because
ubiquitous training data is not always available. Under these circumstances, ML
can be as ineffective as human …

arxiv data earthquake learning machine machine learning physics

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