Zobrazeno 1 - 4
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pro vyhledávání: '"Ho, Minh Tri"'
In this paper, we propose an anomaly detection algorithm for machine sounds with a deep complex network trained by self-supervision. Using the fact that phase continuity information is crucial for detecting abnormalities in time-series signals, our p
Externí odkaz:
http://arxiv.org/abs/2312.13615
Autor:
Doan, Yen Thi-Thai1 (AUTHOR) yen.doanthithai@hust.edu.vn, Ho, Minh-Tri2 (AUTHOR), Nguyen, Huu-Kim2 (AUTHOR), Han, Huy-Dung2 (AUTHOR) dung.hanhuy@hust.edu.vn
Publikováno v:
Journal of Applied Phycology. Oct2021, Vol. 33 Issue 5, p2733-2744. 12p.
Autor:
Mi Eun Choi, Min Ji Kim, Jeong-Seok Choi, Jeong Mi Kim, Young-Mo Kim, Ji Won Kim, Ho Minh Tri
Publikováno v:
Journal of the Korean Dysphagia Society. 11:9-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::274177a845ab7025cee9fbd5dc9c6f87
https://doi.org/10.34160/jkds.2021.11.1.002
https://doi.org/10.34160/jkds.2021.11.1.002
Publikováno v:
ACM International Conference Proceeding Series; 12/4/2019, p494-501, 8p