10:07 AM - 10:30 AM
[MGI29-05] Data-Driven Approaches to Complex Systems: Extracting Heterogeneous Reaction Dynamics and Super-resolving Rock CT Images
★Invited Papers
Keywords:Data-driven approach, Dynamics of heterogeneous reactions, Super-resolution of rock CT images, Complex system, State-space model, Nonlinear dynamics
In recent years, advances in measurement and information technologies have led to a significant increase in both the scale and complexity of data. Data-driven approaches that leverage information science and mathematical methodologies have gained attention as effective methods for extracting the underlying principles and spatiotemporal structures of complex systems.
In this presentation, I first focus on heterogeneous reactions involved in rock-forming dynamics and introduce methods for estimating latent dynamics in observed time-series data based on data-driven approaches such as Bayesian inference and sparse modeling.
Next, I highlight the analysis of rock X-ray CT images, where dictionary learning is employed to extract spatial structures from measurement data, enabling the super-resolution reconstruction of high-resolution spatial structures from low-resolution CT images.
These studies expand the potential of data-driven methods in Earth sciences and contribute to the development of novel analytical techniques through the integration of information science, mathematical science, and Earth sciences.
In this presentation, I first focus on heterogeneous reactions involved in rock-forming dynamics and introduce methods for estimating latent dynamics in observed time-series data based on data-driven approaches such as Bayesian inference and sparse modeling.
Next, I highlight the analysis of rock X-ray CT images, where dictionary learning is employed to extract spatial structures from measurement data, enabling the super-resolution reconstruction of high-resolution spatial structures from low-resolution CT images.
These studies expand the potential of data-driven methods in Earth sciences and contribute to the development of novel analytical techniques through the integration of information science, mathematical science, and Earth sciences.