46 citations · 118 across the 8 of their papers we have counts for
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physics.geo-ph2022★ 16 cited
Seismic-phase detection using multiple deep learning models for global and local representations of waveforms
Tomoki Tokuda, Hiromichi Nagao
The detection of earthquakes is a fundamental prerequisite for seismology and contributes to various research areas, such as forecasting earthquakes and understanding the crust/man…
physics.geo-ph2022★ 23 cited
Seismic Wavefield Reconstruction based on Compressed Sensing using Data-Driven Reduced-Order Model
Takayuki Nagata, Kumi Nakai, Keigo Yamada +5
A seismic wavefield reconstruction framework based on compressed sensing using the data-driven reduced-order model (ROM) is proposed and its characteristics are investigated throug…
eess.SP2022★ 6 cited
Observation Site Selection for Physical Model Parameter Estimation toward Process-Driven Seismic Wavefield Reconstruction
Kumi Nakai, Takayuki Nagata, Keigo Yamada +5
The ``big'' seismic data not only acquired by seismometers but also acquired by vibrometers installed in buildings and infrastructure and accelerometers installed in smartphones wi…