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Intelligent recognition of joints and fissures in tunnel faces using an improved mask region‐based convolutional neural network algorithm

Author(s): (School of Civil Engineering Central South University Changsha P.R. China)
(School of Civil Engineering Central South University Changsha P.R. China)
(National Rail Transit Electrification and Automation Engineering Technology Research Center (Hong Kong Branch) Hong Kong China)
(National Rail Transit Electrification and Automation Engineering Technology Research Center (Hong Kong Branch) Hong Kong China)
(School of Civil Engineering Central South University Changsha P.R. China)
(National Rail Transit Electrification and Automation Engineering Technology Research Center (Hong Kong Branch) Hong Kong China)
(School of Civil Engineering Central South University Changsha P.R. China)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering, , n. 8, v. 39
Page(s): 1123-1142
DOI: 10.1111/mice.13097
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: 10.1111/mice.13097.
  • About this
    data sheet
  • Reference-ID
    10743102
  • Published on:
    28/10/2023
  • Last updated on:
    25/04/2024
 
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