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most citedData-Driven Approach for Noise Reduction in Pressure-Sensitive Paint Data Based on Modal Expansion and Time-Series Data at Optimally Placed Points

45 citations · 94 across the 5 of their papers we have counts for

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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…