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

Author(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)
Medium: journal article
Language(s): English
Published in: International Journal of Architectural Heritage, , n. 3, v. 18
Page(s): 1-19
DOI: 10.1080/15583058.2022.2153234
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: 10.1080/15583058.2022.2153234.
  • About this
    data sheet
  • Reference-ID
    10709521
  • Published on:
    21/03/2023
  • Last updated on:
    10/02/2024
 
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