46 citations · 118 across the 8 of their papers we have counts for
8 papers
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…
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…
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…
A Phase Prediction Method for Pattern Formation in Time-Dependent Ginzburg-Landau Dynamics for Kinetic Ising Model without a priori Assumptions on Domain Patterns
Ryoji Anzaki, Shin-ichi Ito, Hiromichi Nagao +3
We propose a phase prediction method for the pattern formation in the uniaxial two-dimensional kinetic Ising model with the dipole-dipole interactions under the time-dependent Ginz…
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…
Multi-dimensional Graph Fourier Transform
Takashi Kurokawa, Taihei Oki, Hiromichi Nagao
Many signals on Cartesian product graphs appear in the real world, such as digital images, sensor observation time series, and movie ratings on Netflix. These signals are "multi-di…
Data assimilation for massive autonomous systems based on second-order adjoint method
Shin-ichi Ito, Hiromichi Nagao, Akinori Yamanaka +4
Data assimilation (DA) is a fundamental computational technique that integrates numerical simulation models and observation data on the basis of Bayesian statistics. Originally dev…