2 papers
physics.flu-dyn2024
Triple decomposition and sparse representation for noisy pressure-sensitive paint data
Koyo Kubota, Makoto Takagi, Tsubasa Ikami +5
Triple decomposition is a useful analytical method for extracting the mean value, organized coherent motion, and stochastic part from a fluctuating quantity. Although the pressure-…
eess.SP2023
Clustering Method for Time-Series Images Using Quantum-Inspired Computing Technology
Tomoki Inoue, Koyo Kubota, Tsubasa Ikami +5
Time-series clustering serves as a powerful data mining technique for time-series data in the absence of prior knowledge about clusters. A large amount of time-series data with lar…