Zobrazeno 1 - 2
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pro vyhledávání: '"Kubota, Koyo"'
Autor:
Kubota, Koyo, Takagi, Makoto, Ikami, Tsubasa, Egami, Yasuhiro, Nagai, Hiroki, Kashikawa, Takahiro, Kimura, Koichi, Matsuda, Yu
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-sensitive paint (PSP) method is widely used to measure the pressure di
Externí odkaz:
http://arxiv.org/abs/2405.10509
Autor:
Inoue, Tomoki, Kubota, Koyo, Ikami, Tsubasa, Egami, Yasuhiro, Nagai, Hiroki, Kashikawa, Takahiro, Kimura, Koichi, Matsuda, Yu
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 large size has been acquired and used in various research fields. Hence,
Externí odkaz:
http://arxiv.org/abs/2305.16656