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Pavement Freezing Depth Estimation using Hybrid Deep Learning Models

Author(s): (Chung-Ang University, 26729, Department of Smart Cities, Seoul, Korea (the Republic of);)
(Chung-Ang University, 26729, Department of Smart Cities, Seoul, Korea (the Republic of);)
(GilSolution, Gyeonggi-do, Seoul, Korea (the Republic of);)
(Chung-Ang University, 26729, Department of Smart Cities, Seoul, Korea (the Republic of);)
Medium: journal article
Language(s): English
Published in: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, , n. 4, v. 51
Page(s): 423-433
DOI: 10.1139/cjce-2023-0131
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: 10.1139/cjce-2023-0131.
  • About this
    data sheet
  • Reference-ID
    10742518
  • Published on:
    28/10/2023
  • Last updated on:
    25/04/2024
 
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