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Deep learning‐based segmentation model for permeable concrete meso‐structures

Author(s): (School of Civil Engineering Southwest Jiaotong University Chengdu China)
(School of Civil Engineering Southwest Jiaotong University Chengdu China)
(School of Civil Engineering Southwest Jiaotong University Chengdu China)
(School of Civil Engineering Southwest Jiaotong University Chengdu China)
(School of Civil Engineering Southwest Jiaotong University Chengdu China)
(Hubei Communications Investment Group Co. Ltd. Wuhan PR China)
(School of Automation Chengdu University of Information Technology Chengdu China)
(Science and technology development department Inner Mongolia Transportation Group CO., LTD Hohhot China)
(School of Environmental Science and Engineering Southwest Jiaotong University Chengdu China)
(School of Materials Science and Engineering Southwest Jiaotong University Chengdu China)
(School of Mechanical Engineering Southwest Jiaotong University Chengdu China)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering
DOI: 10.1111/mice.13300
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.13300.
  • About this
    data sheet
  • Reference-ID
    10791664
  • Published on:
    01/09/2024
  • Last updated on:
    01/09/2024
 
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