Kuno Kazuhiro | Faculty Of Engineering Mie University
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概要
関連著者
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Kuno Kazuhiro
Faculty Of Engineering Mie University
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Kuno Kazuhiro
Faculty of engineering,Mie University
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Okumura Yohzoh
Nagoya Municipal Industrial Research Institute
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Mishina Yoshiaki
Daido institute of Technology
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戸田 尚宏
愛知県立大学大学院情報科学研究科
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Hayashi Akinori
Nagoya Industrial Science Research Institute
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Usui Shiro
Deparment Of Information And Computer Sciences Toyohashi University Of Technology
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Mishina Yoshiaki
Daido University
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Oishi Yasaki
Education Center for Information Processing,Nagoya University
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Okumura Yozo
Municipal Industrial Research Institute
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Hagiwara Katsuyuki
Faculty Of Education Mie University
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Hagiwara Katsuyuki
Faculty Of Physics Engineering Mie University
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HAYASAKA Taichi
Department of Information and Computer Sciences,Toyohashi University of Technology
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TODA Naohiro
Faculty of Information Science and Technology,Aichi Prefectural University
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Oishi Y
Daido Inst. Technol. Nagoya Jpn
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Okumura Y
Nagoya Municipal Industrial Res. Inst. Nagoya Jpn
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Kuno K
Mie Univ. Tsu Jpn
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Kuno Kazuhiro
Faculty Of Physics Engineering Mie University
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Hayasaka Taichi
Department Of Information And Computer Sciences Toyohashi University Of Technology
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Mishina Y
Daido Inst. Technol. Nagoya Jpn
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Yoshihisa Koichi
Faculty Of Science And Technology Meijo University
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Okada Yasuaki
Faculty of Science and Technology, Meijo University
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USUI Shiro
Department of Information and Computer Sciences,Toyohashi University of Technology
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Hayashi Akinori
Suzuka Medical Science University,1001-1,Tsuoka,Suzuka,510-0293 Japan
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Kuno Kazuhiro
Faculty of Engineering Mie University,1515,Kamihama,Tsu,514-8507 Japan
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Omiya Masaaki
Nagoya City Environmental Research Institute,16-8,Toyoda,5 Minami-ku,Nagoya,457-0841 Japan
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Oishi Yasaki
Daido Institute of Technology,2-21,Daido,Minami-ku,Nagoya,457-8531 Japan
著作論文
- Data storage system for noise and vibration
- Upper bound of the expected training error of neural network regression for a Gaussian noise sequence
- Multiple regression analysis of railway noise based on finite line source models including the excess attenuation
- Simple calculation model for noise propagation in city street canyons based on a diffusion method
- Criteria for environmental noise based on neutral reaction of inhabitants