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Unsupervised deep learning framework for ultrasonic-based distributed damage detection in concrete: integration of a deep auto-encoder and Isolation Forest for anomaly detection

Author(s): ORCID (Department of Civil Engineering, Sharif University of Technology, Tehran, Iran)
ORCID (Department of Civil Engineering, Sharif University of Technology, Tehran, Iran)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 3, v. 23
Page(s): 1313-1333
DOI: 10.1177/14759217231183143
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: 10.1177/14759217231183143.
  • About this
    data sheet
  • Reference-ID
    10739212
  • Published on:
    03/09/2023
  • Last updated on:
    25/04/2024
 
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