Deep Learning Can Predict Laboratory Quakes From Active Source Seismic Data

Author:

Shokouhi Parisa1ORCID,Girkar Vrushali2,Rivière Jacques1,Shreedharan Srisharan3ORCID,Marone Chris3ORCID,Giles C. Lee24,Kifer Daniel2

Affiliation:

1. Engineering Science and Mechanics The Pennsylvania State University University Park PA USA

2. Computer Science and Engineering The Pennsylvania State University University Park PA USA

3. Geosciences The Pennsylvania State University University Park PA USA

4. Information Sciences and Technology The Pennsylvania State University University Park PA USA

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep Learning Forecasts Caldera Collapse Events at Kı̄lauea Volcano;Journal of Geophysical Research: Solid Earth;2024-08

2. Machine Learning-Powered Earthquake Early Warning System;International Journal of Innovative Science and Research Technology (IJISRT);2024-07-02

3. Seismic Features Predict Ground Motions During Repeating Caldera Collapse Sequence;Geophysical Research Letters;2024-06-10

4. Empowering Machine Learning Forecasting of Labquake Using Event‐Based Features and Clustering Characteristics;Journal of Geophysical Research: Machine Learning and Computation;2024-06

5. Machine Learning Predicts Earthquakes in the Continuum Model of a Rate‐And‐State Fault With Frictional Heterogeneities;Geophysical Research Letters;2024-04-27

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