activity
20222026
most citedData-Driven Optimal Sensor Placement for High-Dimensional System Using Annealing Machine

39 citations · 49 across the 5 of their papers we have counts for

collaborators

5 papers

physics.flu-dyn2026

Temperature distribution measurement on three-phase contact line in liquid nitrogen using two-color temperature-sensitive paint

Shione Fujiwara, Yasuhiro Egami, Osamu Kawanami +1

Cryogenic phase-change phenomena play an important role in a wide range of engineering applications, including cryogenic cooling systems, superconducting technologies, and space pr…

quant-ph2025

Time-series forecasting for nonlinear high-dimensional system using hybrid method combining autoencoder and multi-parallelized quantum long short-term memory and gated recurrent unit

Makoto Takagi, Ryuji Kokubo, Misato Kurosawa +7

A time-series forecasting method for high-dimensional spatial data is proposed. The method involves optimal selection of sparse sensor positions to efficiently represent the spatia…

physics.flu-dyn2024★ 2 cited

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★ 8 cited

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…

eess.SP2022★ 39 cited

Data-Driven Optimal Sensor Placement for High-Dimensional System Using Annealing Machine

Tomoki Inoue, Tsubasa Ikami, Yasuhiro Egami +4

We propose a novel method for solving optimal sensor placement problem for high-dimensional system using an annealing machine. The sensor points are calculated as a maximum clique…