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A convolutional neural network for pipe crack and leak detection in smart water network

Author(s): ORCID (Data Scientist, Strategic Asset Management, South Australia Water Corporation, Adelaide, SA, Australia)
(School of Computer Science, University of Adelaide, Adelaide, SA, Australia)
(Strategic Asset Management, South Australia Water Corporation, Adelaide, SA, Australia)
ORCID (School of Civil and Environmental Engineering, University of Adelaide, Adelaide, SA, Australia)
(School of Engineering, Deakin University, Waurn Ponds, VIC, Australia)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 1, v. 22
Page(s): 147592172210801
DOI: 10.1177/14759217221080198
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: 10.1177/14759217221080198.
  • About this
    data sheet
  • Reference-ID
    10665311
  • Published on:
    09/05/2022
  • Last updated on:
    20/02/2023
 
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