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Seismic-phase detection using multiple deep learning models for global and local representations of waveforms
Finally, in an application to low-frequency earthquakes, we demonstrated the flexibility of the proposed method, which is readily adaptable for the detection of low-frequency earthquakes by retraining only a local model.
Observation Site Selection for Physical Model Parameter Estimation toward Process-Driven Seismic Wavefield Reconstruction
The seismic wavefield is reconstructed by the numerical simulation using the parameters estimated based on the observed signals at only observation sites selected by the proposed method.
Multi-dimensional Graph Fourier Transform
The proposed methods are applicable to a wide variety of data that can be regarded as signals on Cartesian product graphs.
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