Výsledky vyhledávání - "Lomax, Anthony"

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Mapping finite-fault slip with spatial correlation between seismicity and point-source Coulomb failure stress change

Autor: Lomax, Anthony

Most earthquake energy release arises during fault slip many kilometers below the Earth's surface. Understanding earthquakes and their hazard requires mapping the geometry and distribution of this slip. Such finite-fault maps are typically derived fr

Externí odkaz: http://arxiv.org/abs/2404.05437

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Transfer learning: Improving neural network based prediction of earthquake ground shaking for an area with insufficient training data

Autor: Jozinović, Dario, Lomax, Anthony, Štajduhar, Ivan, Michelini, Alberto

In a recent study (Jozinovi\'c et al, 2020) we showed that convolutional neural networks (CNNs) applied to network seismic traces can be used for rapid prediction of earthquake peak ground motion intensity measures (IMs) at distant stations using onl

Externí odkaz: http://arxiv.org/abs/2105.05075

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Rapid Prediction of Earthquake Ground Shaking Intensity Using Raw Waveform Data and a Convolutional Neural Network

Autor: Jozinović, Dario, Lomax, Anthony, Štajduhar, Ivan, Michelini, Alberto

Publikováno v: Geophysical Journal International, 222(2), 1379-1389 (2020)

This study describes a deep convolutional neural network (CNN) based technique for the prediction of intensity measurements (IMs) of ground shaking. The input data to the CNN model consists of multistation 3C broadband and accelerometric waveforms re

Externí odkaz: http://arxiv.org/abs/2002.06893

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