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

Auteur(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)
Médium: article de revue
Langue(s): anglais
Publié dans: Computer-Aided Civil and Infrastructure Engineering
DOI: 10.1111/mice.13300
Structurae ne peut pas vous offrir cette publication en texte intégral pour l'instant. Le texte intégral est accessible chez l'éditeur. DOI: 10.1111/mice.13300.
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  • Reference-ID
    10791664
  • Publié(e) le:
    01.09.2024
  • Modifié(e) le:
    01.09.2024
 
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