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PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method

Geophysical journal international, 2019-01

2019

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Slow Earthquakes and Nonvolcanic Tremor

Annual review of earth and planetary sciences, 2011-05, Vol.39 (1), p.271-296

2011

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Machine learning for data-driven discovery in solid Earth geoscience

Science (American Association for the Advancement of Science), 2019-03, Vol.363 (6433)

2019

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Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking

Nature communications, 2020-08, Vol.11 (1), p.3952-3952, Article 3952

2020

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CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection

Scientific reports, 2019-07, Vol.9 (1), p.10267-14, Article 10267

2019

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Machine learning and earthquake forecasting—next steps

Nature communications, 2021-08, Vol.12 (1), p.4761-4761, Article 4761

2021

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STanford EArthquake Dataset (STEAD): A Global Data Set of Seismic Signals for AI

IEEE access, 2019, Vol.7, p.179464-179476

2019

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Ambient noise differential adjoint tomography reveals fluid-bearing rocks near active faults in Los Angeles

Nature communications, 2023-10, Vol.14 (1), p.6873-6873, Article 6873

2023

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Detecting earthquakes over a seismic network using single-station similarity measures

Geophysical journal international, 2018-06, Vol.213 (3), p.1984-1998

2018

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Non-volcanic tremor and low-frequency earthquake swarms

Nature, 2007-03, Vol.446 (7133), p.305-307

2007

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Statistical bounds on how induced seismicity stops

Scientific reports, 2022-01, Vol.12 (1), p.1184-1184, Article 1184

2022

Volltextzugriff (PDF)

Constraints on the source parameters of low‐frequency earthquakes on the San Andreas Fault

Geophysical research letters, 2016-02, Vol.43 (4), p.1464-1471

2016

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Laboratory earthquake forecasting: A machine learning competition

Proceedings of the National Academy of Sciences - PNAS, 2021-02, Vol.118 (5)

2021

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Earthquake detection through computationally efficient similarity search

Science advances, 2015-12, Vol.1 (11), p.e1501057-e1501057

2015

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Lateral heterogeneity imaged by small‐aperture ScS retrieval from the ambient seismic field

Geophysical research letters, 2017-08, Vol.44 (16), p.8276-8284

2017

Volltextzugriff (PDF)

Urban Seismic Site Characterization by Fiber‐Optic Seismology

Journal of geophysical research. Solid earth, 2020-03, Vol.125 (3), p.n/a

2020

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Stress drops of induced and tectonic earthquakes in the central United States are indistinguishable

Science advances, 2017-08, Vol.3 (8), p.e1700772-e1700772

2017

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Mechanism of deep low frequency earthquakes: Further evidence that deep non-volcanic tremor is generated by shear slip on the plate interface

Geophysical research letters, 2007-02, Vol.34 (3), p.L03308-n/a

2007

Volltextzugriff (PDF)

Seismic Signal Denoising and Decomposition Using Deep Neural Networks

IEEE transactions on geoscience and remote sensing, 2019-11, Vol.57 (11), p.9476-9488

2019

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Site characterization at Groningen gas field area through joint surface-borehole H/V analysis

Geophysical journal international, 2018-01, Vol.212 (1), p.412-421

2018

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Shear wave structure of a transect of the Los Angeles basin from multimode surface waves and H/V spectral ratio analysis

Geophysical journal international, 2020-01, Vol.220 (1), p.415-427

2020

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A Rogue Earthquake Off Sumatra

Science (American Association for the Advancement of Science), 2012-06, Vol.336 (6085), p.1118-1119

2012

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Seismic evidence for thermal runaway during intermediate-depth earthquake rupture

Geophysical research letters, 2013-12, Vol.40 (23), p.6064-6068

2013

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A Machine‐Learning Approach for Earthquake Magnitude Estimation

Geophysical research letters, 2020-01, Vol.47 (1), p.n/a

2020

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Long-period seismic amplification in the Kanto Basin from the ambient seismic field

Geophysical research letters, 2014-04, Vol.41 (7), p.2319-2325

2014

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PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method

Slow Earthquakes and Nonvolcanic Tremor

Machine learning for data-driven discovery in solid Earth geoscience

Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking

CRED: A Deep Residual Network of Convolutional and Recurrent Units for Earthquake Signal Detection

Machine learning and earthquake forecasting—next steps

STanford EArthquake Dataset (STEAD): A Global Data Set of Seismic Signals for AI

Ambient noise differential adjoint tomography reveals fluid-bearing rocks near active faults in Los Angeles

Detecting earthquakes over a seismic network using single-station similarity measures

Non-volcanic tremor and low-frequency earthquake swarms

Statistical bounds on how induced seismicity stops

Constraints on the source parameters of low‐frequency earthquakes on the San Andreas Fault

Laboratory earthquake forecasting: A machine learning competition

Earthquake detection through computationally efficient similarity search

Lateral heterogeneity imaged by small‐aperture ScS retrieval from the ambient seismic field

Urban Seismic Site Characterization by Fiber‐Optic Seismology

Stress drops of induced and tectonic earthquakes in the central United States are indistinguishable

Mechanism of deep low frequency earthquakes: Further evidence that deep non-volcanic tremor is generated by shear slip on the plate interface

Seismic Signal Denoising and Decomposition Using Deep Neural Networks

Site characterization at Groningen gas field area through joint surface-borehole H/V analysis

Shear wave structure of a transect of the Los Angeles basin from multimode surface waves and H/V spectral ratio analysis

A Rogue Earthquake Off Sumatra

Seismic evidence for thermal runaway during intermediate-depth earthquake rupture

A Machine‐Learning Approach for Earthquake Magnitude Estimation

Long-period seismic amplification in the Kanto Basin from the ambient seismic field

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