46 citations · 118 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
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…
Adjoint-based uncertainty quantification for inhomogeneous friction on a slow-slipping fault
Shin-ichi Ito, Masayuki Kano, Hiromichi Nagao
Long-term slow-slip events (LSSEs) usually occur on the deep, shallow parts of subducting plates and have substantial relation with adjacent megathrust fault motion. Conventional t…
Forecasting temporal variation of aftershocks immediately after a main shock using Gaussian process regression
Kosuke Morikawa, Hiromichi Nagao, Shin-ichi Ito +3
Uncovering the distribution of magnitudes and arrival times of aftershocks is a key to comprehend the characteristics of the sequence of earthquakes, which enables us to predict se…