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Track vibration sequence anomaly detection algorithm based on LSTM

Author(s): ORCID (School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, China)
(National Engineering Laboratory for Fiber Optic Sensing Technology, Wuhan University of Technology, Wuhan, China)
(School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, China)
(School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, China)
Medium: journal article
Language(s): English
Published in: Advances in Structural Engineering, , n. 9, v. 26
Page(s): 1682-1695
DOI: 10.1177/13694332231161104
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1177/13694332231161104.
  • About this
    data sheet
  • Reference-ID
    10725682
  • Published on:
    30/05/2023
  • Last updated on:
    02/09/2023
 
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