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Abnormal Data Recovery of Structural Health Monitoring for Ancient City Wall Using Deep Learning Neural Network

Auteur(s): ORCID (Beijing Advanced Innovation Center for Future Urban Design, Beijing Key Laboratory of Functional Materials for Building Structure and Environment Remediation, Beijing University of Civil Engineering and Architecture, Beijing, China)
ORCID (Beijing Advanced Innovation Center for Future Urban Design, Beijing Key Laboratory of Functional Materials for Building Structure and Environment Remediation, Beijing University of Civil Engineering and Architecture, Beijing, China)
ORCID (School of Civil Engineering, Southeast University, Nanjing, China)
(Beijing Advanced Innovation Center for Future Urban Design, Beijing Key Laboratory of Functional Materials for Building Structure and Environment Remediation, Beijing University of Civil Engineering and Architecture, Beijing, China)
(Beijing Advanced Innovation Center for Future Urban Design, Beijing Key Laboratory of Functional Materials for Building Structure and Environment Remediation, Beijing University of Civil Engineering and Architecture, Beijing, China)
Médium: article de revue
Langue(s): anglais
Publié dans: International Journal of Architectural Heritage, , n. 3, v. 18
Page(s): 1-19
DOI: 10.1080/15583058.2022.2153234
Structurae ne peut pas vous offrir cette publication en texte intégral pour l'instant. Le texte intégral est accessible chez l'éditeur. DOI: 10.1080/15583058.2022.2153234.
  • Informations
    sur cette fiche
  • Reference-ID
    10709521
  • Publié(e) le:
    21.03.2023
  • Modifié(e) le:
    10.02.2024
 
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