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A defect classification methodology for sewer image sets with convolutional neural networks

Author(s):



Medium: journal article
Language(s): English
Published in: Automation in Construction, , v. 104
Page(s): 281-298
DOI: 10.1016/j.autcon.2019.04.013
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.2019.04.013.
  • About this
    data sheet
  • Reference-ID
    10312706
  • Published on:
    07/05/2019
  • Last updated on:
    07/05/2019
 
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