Výsledky vyhledávání - "Kazuhiro Tokunaga"

Intravascular ultrasound-based tissue characterization using modular network self-organizing map

Autor: Kazuhiro Tokunaga, Noriaki Suetake, Eiji Uchino, Hiroki Tanaka

Publikováno v: Applied Soft Computing. 44:89-100

Graphical abstractDisplay Omitted HighlightsThis work proposes new IVUS-based tissue characterization method that uses a mnSOM.The proposed method can create a map of various dynamical features from the radio-frequency signal.The proposed method has

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c156cb6ad3c588a8a4c1451c913175b2
https://doi.org/10.1016/j.asoc.2016.03.017

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Nondestructive evaluation of fish meat using ultrasound signals and machine learning methods

Autor: Chihiro Saeki, Shinta Nakano, Makoto Nakamura, Kazuhiro Tokunaga, Shinichi Taniguchi, Hiromitsu Ohta

Publikováno v: Aquacultural Engineering. 89:102052

In this study, we propose a new method for the nondestructive measurement of the fat content and texture of fish meat using machine learning and the bag of features approach. We employed two machine learning methods, that is, a self-organizing map (S

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::04a73e5a1a81afa2391a77557a86add5
https://doi.org/10.1016/j.aquaeng.2020.102052

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Available-Bandwidth Information Based TCP Congestion Control Algorithm on Multi-RAT Networks

Autor: Naoki Takaya, Hiroki Iwasawa, Kazuhiro Tokunaga

Publikováno v: GLOBECOM

Due to advances in high-speed radio access technologies (HS-RATs), such as 5G and WiGig, it will be possible for mobile users to use ultra-high-speed access services via user equipment (e.g., smartphones) in the 5G era. However, HS-RATs cannot provid

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::859b87f86f1f35cf883953591e835ec7
https://doi.org/10.1109/glocom.2017.8254718

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Growing topology representing network

Autor: Kazuhiro Tokunaga

Publikováno v: Applied Soft Computing. 22:311-322

This paper describes a method for finding the topology of a data distribution online using a new growing graph network architecture. Many growing neural networks for finding the topology of data online, such as the Growing Neural Gas, depend on the o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c50227b5cd9c756a7bd00df09dc16692
https://doi.org/10.1016/j.asoc.2014.04.028

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Akademický článek

IVUS-Based Coronary Plaque Tissue Characterization Using Weighted Multiple k-Nearest Neighbor.

Autor: Eiji Uchino^1,2 uchino@yamaguchi-u.ac.jp, Kazuhiro Tokunaga³ tokunaga@flsi.or.jp, Hiroki Tanaka⁴ s015vc@yamaguchi-u.ac.jp, Noriaki Suetake⁴ nsuetake@yamaguchi-u.ac.jp

Publikováno v: Engineering Letters. 2012, Vol. 20 Issue 3, p211-216. 6p.

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