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Deterioration Detection in Historical Buildings with Different Materials Based on Novel Deep Learning Methods with Focusing on Isfahan Historical Bridges

Author(s): ORCID (Architectural and Urban Conservation Department, Restoration and Conservation Faculty, Art University of Isfahan, Isfahan, Iran)
ORCID (Architectural and Urban Conservation Department, Restoration and Conservation Faculty, Art University of Isfahan, Isfahan, Iran)
ORCID (Computer Engineering Department, Artificial Intelligent GroupDirector of AICT Research Institute, Director of Data Science and Artificial Intelligent Innovation Center, Sharif University of Technology, Tehran, Iran)
Medium: journal article
Language(s): English
Published in: International Journal of Architectural Heritage, , n. 6, v. 18
Page(s): 1-13
DOI: 10.1080/15583058.2023.2201576
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: 10.1080/15583058.2023.2201576.
  • About this
    data sheet
  • Reference-ID
    10726226
  • Published on:
    30/05/2023
  • Last updated on:
    20/06/2024
 
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