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Underground sewer pipe condition assessment based on convolutional neural networks

Author(s):







Medium: journal article
Language(s): English
Published in: Automation in Construction, , v. 106
Page(s): 102849
DOI: 10.1016/j.autcon.2019.102849
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: 10.1016/j.autcon.2019.102849.
  • About this
    data sheet
  • Reference-ID
    10314636
  • Published on:
    24/06/2019
  • Last updated on:
    24/06/2019
 
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