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Predicting Structural Temperature of Ancient City Walls: A Case Study Using Ambient Temperature and Deep Learning

Author(s): ORCID (School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China)
ORCID (School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China)
(School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China)
ORCID (School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China)
(School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China)
Medium: journal article
Language(s): English
Published in: International Journal of Architectural Heritage
Page(s): 1-18
DOI: 10.1080/15583058.2024.2380414
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: 10.1080/15583058.2024.2380414.
  • About this
    data sheet
  • Reference-ID
    10792337
  • Published on:
    01/09/2024
  • Last updated on:
    01/09/2024
 
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