Research field (7):
Intelligent informatics
, Soft computing
, Sensitivity (kansei) informatics
, Biological, health, and medical informatics
, Control and systems engineering
, Mathematical physics and basic theory
, Neuroscience - general
Taketo Omi, Toshiaki Omori. Probabilistic Estimation and Control of Dynamical Systems Using Particle Filter with Adaptive Backward Sampling. Entropy, in press. 2024
Yuya Note, Masahito Watanabe, Hiroaki Yoshimura, Takaharu Yaguchi, Toshiaki Omori. Sparse Estimation for Hamiltonian Mechanics. Mathematics, in press. 2024
Taketo Omi, Toshiaki Omori. Simultaneously Estimating and Controlling Nonlinear Neuronal Dynamics Based on Sequential Monte Carlo Framework. Nonlinear Theory and Its Applications, in press. 2024
Hirozo Nakano, Amitava Majumdar, Toshiaki Omori. Data-driven Estimation of Spatial Electrical Property of Multi-Compartment Models with Neuronal Morphology by Replica Exchange Monte Carlo Method. Nonlinear Theory and Its Applications, in press. 2024
Toshiaki Omori, Shoi Suzuki, Katsuyoshi Michibayashi, Atsushi Okamoto. Super-resolution of X-ray CT Images of Rock Samples by Sparse Representation: Applications to the Complex Texture of Serpentinite. Scientific Reports, in press. 2023
Data-driven State Space Modeling Approach for Simultaneously Estimating and Controlling Nonlinear Dynamical Systems
(International Symposium on Physics of Intelligence - Statistical Mechanics and Machine Learning: A Powerful Combination for Data Analysis - 2024)
Data-driven Approach for Estimating Nonlinear Dynamics
(1st Digital Brain Workshop 2024)
Data-driven Super-resolution of X-ray CT Images of Rock Samples by Sparse Representation: Applications to the Complex Texture of Serpentinite
(SerpentineDays Webinar 2024)