DeepPhasePick: a method for detecting and picking seismic phases from local earthquakes based on highly optimized convolutional and recurrent deep neural networks

SUMMARY Seismic phase detection, identification and first-onset picking are basic but essential routines to analyse earthquake data. As both the number of seismic stations, globally and regionally, and the number of experiments greatly increase due to ever greater availability of instrumentation, au...

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Bibliographic Details

Published in:	Geophysical journal international Vol. 227; no. 2; pp. 1268 - 1294
Main Authors:	Soto, Hugo, Schurr, Bernd
Format:	Journal Article
Language:	English
Published:	Oxford University Press 01.11.2021
Subjects:	South America Neural networks, fuzzy logic Time-series analysis Body waves Computational seismology
ISSN:	0956-540X, 1365-246X
Online Access:	Get full text
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