Machine Learning Predicts Laboratory Earthquakes (original) (raw)

Limitations of the short earthquake record for seismicity and seismic hazard studies

Seth Stein

Special Paper 425: Continental Intraplate Earthquakes: Science, Hazard, and Policy Issues, 2007

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Cannot Earthquakes Be Predicted?

Max Wyss

Science, 1997

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Machine Learning Predicts Aperiodic Laboratory Earthquakes

Olha Tanyuk

2019

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Nowcasting Earthquakes by Visualizing the Earthquake Cycle with Machine Learning: A Comparison of Two Methods

John Rundle

Surveys in Geophysics

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Earthquakes can be Predicted

Dharanjit Singh

Journal of Geology & Geophysics, 2016

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The Complex Dynamics of Earthquake Fault Systems: New Approaches to Forecasting and Nowcasting of Earthquakes

John Rundle

Reports on Progress in Physics

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Earthquake Catalog‐Based Machine Learning Identification of Laboratory Fault States and the Effects of Magnitude of Completeness

Paul Johnson

Geophysical Research Letters, 2018

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A new catalog of southern California earthquakes, 1800–2005

David Jackson

2006

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Toward a comprehensive catalog of global historical seismicity

Eric Bergman

Eos, Transactions American Geophysical Union, 1997

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Predicting laboratory earthquakes with machine learning

Silke van Klaveren

arXiv: Geophysics, 2020

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Nowcasting Earthquakes: Imaging the Earthquake Cycle in California With Machine Learning

John Rundle

Earth and Space Science, 2021

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Earthquake geology: Science, society and critical facilities

ioannis papanikolaou

2013

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Seismicity Precursors for Active Monitoring of Earthquakes

Valeri Korneev

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The use of historical data in earthquake prediction: an example from water-level variations and seismicity

Dario Albarello

Tectonophysics, 1991

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California Earthquakes, 1800-2007: A Unified Catalog with Moment Magnitudes, Uncertainties, and Focal Mechanisms

David Jackson

Seismological Research Letters, 2009

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Neural Networks in Seismic Discrimination

Farid Dowla

Monitoring a Comprehensive Test Ban Treaty, 1996

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Early Warning for Great Earthquakes From Characterization of Crustal Deformation Patterns With Deep Learning

Diego Melgar

Journal of Geophysical Research: Solid Earth, 2021

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An experiment in the use of trained neural networks for regional seismic event classification

Jay Pulli

Geophysical Research Letters, 1990

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Dynamics of the Markov Time Scale of Seismic Activity May Provide a Short-Term Alert for Earthquakes

J. Peinke

2005

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Why is earthquake prediction research not progressing faster?

Max Wyss

Tectonophysics, 2001

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Possibility of Biases in the Estimation of Earthquake Recurrence and Seismic Hazard from Geologic Data

steven wesnousky

Bulletin of the Seismological Society of America, 2010

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Using modern seismological data to reveal earthquake precursors

A. Lyubushin

Russian Journal of Earth Sciences, 2007

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A review of geological evidence for recurrence times of large earthquakes

Madrid Shiko

Earthquake Prediction, An International Review, 1981

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Does the Catalog of California Earthquakes, with Aftershocks Included, Contain Information about Future Large Earthquakes?

Lisa Grant Ludwig

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Framework and standalone applications of machine learning in seismic processing

Bagher Farmani

First International Meeting for Applied Geoscience & Energy Expanded Abstracts

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Khalilov E.N. FORECASTING OF EARTHQUAKES: THE REASONS OF FAILURES AND THE NEW PHILOSOPHY. SCIENCE WITHOUT BORDERS. Transactions of the International Academy of Science H &E. Vol.3.2007/2008, SWB, Innsbruck, 2008, p.300-315. ISBN 978-9952-451-01-6 ISSN 2070-0334

Elchin Khalilov

2008

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Reply to comment by Arthur Frankel on “Why Earthquake Hazard Maps Often Fail and What to do About It”

Mian Liu

Tectonophysics, 2013

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