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An adaptive machine learning framework for multi-scenes road surface weather condition monitoring

Author(s): (School of Automation and Electrical Engineering, Linyi University, Linyi, Shandong 276000, China)
(School of Automation and Electrical Engineering, Linyi University, Linyi, Shandong 276000, China)
(School of Automation and Electrical Engineering, Linyi University, Linyi, Shandong 276000, China)
(Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, ON N2L3G1, Canada)
ORCID (School of Automation and Electrical Engineering, Linyi University, Linyi, Shandong 276000, China)
Medium: journal article
Language(s): English
Published in: Canadian Journal of Civil Engineering / Revue canadienne de génie civil
DOI: 10.1139/cjce-2023-0405
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-2023-0405.
  • About this
    data sheet
  • Reference-ID
    10769007
  • Published on:
    29/04/2024
  • Last updated on:
    29/04/2024
 
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