Zobrazeno 1 - 10 of 70 pro vyhledávání: '"Ryo, Nakashima"'
1
Akademický článek
Abnormality detection of sliding surface and exploration suitable sensor data for condition monitoring by calculating contribution using machine learning
Autor: Ryo NAKASHIMA, Tomomi HONDA, Tomohiko KON
Publikováno v: Nihon Kikai Gakkai ronbunshu, Vol 90, Iss 939, Pp 24-00042-24-00042 (2024)
As machines become more sophisticated and manufacturing processes more complex in the manufacturing industry, there is a need to build simple systems that enable condition monitoring without specialized knowledge. Therefore, AI-based condition monito
Externí odkaz: https://doaj.org/article/5b619ea7f9f74032b45af55e309d7eae
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2
Akademický článek
Oncological evaluation in the perioperative period using cfDNA with BRAF V600E mutation in patients with colorectal cancer
Autor: Keita Tanaka, Yoichiro Yoshida, Teppei Yamada, Takaomi Hayashi, Hideki Shimaoka, Fumihiro Yoshimura, Ryuji Kajitani, Taro Munechika, Yoshiko Matsumoto, Hideki Nagano, Akira Komono, Ryohei Sakamoto, Ryo Nakashima, Naoya Aisu, Gumpei Yoshimatsu, Suguru Hasegawa
Publikováno v: Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract The detection of circulating cell-free DNA (cfDNA) by liquid biopsy is reported to provide prognostic information in colorectal cancer (CRC). Although the frequency of BRAF V600E mutation in CRC is less than 10%, it is associated with poor r
Externí odkaz: https://doaj.org/article/8d9438e0d8b04f329885f76dfce1bab6
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5
Akademický článek
Unsupervised Phoneme and Word Discovery From Multiple Speakers Using Double Articulation Analyzer and Neural Network With Parametric Bias
Autor: Ryo Nakashima, Ryo Ozaki, Tadahiro Taniguchi
Publikováno v: Frontiers in Robotics and AI, Vol 6 (2019)
This paper describes a new unsupervised machine-learning method for simultaneous phoneme and word discovery from multiple speakers. Phoneme and word discovery from multiple speakers is a more challenging problem than that from one speaker, because th
Externí odkaz: https://doaj.org/article/4b932ba456b74b6bb492cd16ee1b14af
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