Characterizing Acoustic Signals and Searching for Precursors during the Laboratory Seismic Cycle Using Unsupervised Machine Learning-Reference-Cited by-同舟云学术

Characterizing Acoustic Signals and Searching for Precursors during the Laboratory Seismic Cycle Using Unsupervised Machine Learning

Published:2019-03-06 Issue:3 Volume:90 Page:1088-1098
ISSN:0895-0695
Container-title:Seismological Research Letters
language:en
Short-container-title:

Author:

Bolton David C.¹,Shokouhi Parisa²,Rouet‐Leduc Bertrand³,Hulbert Claudia³,Rivière Jacques²,Marone Chris¹,Johnson Paul A.³

Affiliation:

1. Department of Geosciences, Pennsylvania State University, 201 Old Main, University Park, Pennsylvania 16802 U.S.A., dcb31@psu.educhrisjmarone@gmail.com

2. Department of Engineering Science and Mechanics, Pennsylvania State University, 201 Old Main, University Park, Pennsylvania 16802 U.S.A., pxs990@psu.edu, jvr5626@psu.edu

3. Geophysics Group, Los Alamos National Laboratory, 30 Bikini Atoll Road, Los Alamos, New Mexico 87545 U.S.A., bertrand.rouetleduc@gmail.com, claudia.hulbert@gmail.com, paj@lanl.gov

Publisher

Seismological Society of America (SSA)

Subject

Geophysics

Link

https://pubs.geoscienceworld.org/ssa/srl/article-pdf/90/3/1088/4686471/srl-2018367.1.pdf

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