Convolutional neural network for earthquake detection and location-Reference-Cited by-同舟云学术

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Convolutional neural network for earthquake detection and location

Published:2018-02-02 Issue:2 Volume:4 Page:
ISSN:2375-2548
Container-title:Science Advances
language:en
Short-container-title:Sci. Adv.

Author:

Perol Thibaut¹²^ORCID,Gharbi Michaël³,Denolle Marine⁴

Affiliation:

1. John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.

2. Gram Labs Inc., Arlington, VA 22201, USA.

3. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

4. Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA 02138, USA.

Abstract

ConvNetQuake is the first neural network for detection and location of earthquakes from seismograms.

Funder

National Science Foundation

NSF Cooperative Agreement

USGS Cooperative Agreement

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference32 articles.

1. Injection-Induced Earthquakes

2. Automatic phase pickers: Their present use and future prospects;Allen R.;Bull. Seismol. Soc. Am.,1982

3. A comparison of select trigger algorithms for automated global seismic phase and event detection;Withers Mitchell;Bull. Seismol. Soc. Am.,1998

4. The detection of low magnitude seismic events using array-based waveform correlation

5. Optimizing multi-station earthquake template matching through re-examination of the Youngstown, Ohio, sequence;Skoumal R. J.;Earth Planet. Sci. Lett.,2014

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