2 papers
physics.geo-ph2021
Transfer learning: Improving neural network based prediction of earthquake ground shaking for an area with insufficient training data
Dario Jozinović, Anthony Lomax, Ivan Štajduhar +1
In a recent study (Jozinović et al, 2020) we showed that convolutional neural networks (CNNs) applied to network seismic traces can be used for rapid prediction of earthquake peak…
physics.geo-ph2020
Rapid Prediction of Earthquake Ground Shaking Intensity Using Raw Waveform Data and a Convolutional Neural Network
Dario Jozinović, Anthony Lomax, Ivan Štajduhar +1
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…