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A kernelized deep regression method to simultaneously predict and normalize displacement responses of long-span bridges via limited synthetic aperture radar images

Author(s): ORCID (Department of Civil and Environmental Engineering, Politecnico di Milano, Milano, Italy)
(Department of Civil and Environmental Engineering, Politecnico di Milano, Milano, Italy)
(Department of Civil and Environmental Engineering, Politecnico di Milano, Milano, Italy)
ORCID (Department of Civil and Environmental Engineering, Politecnico di Milano, Milano, Italy)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring
DOI: 10.1177/14759217241309075
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: 10.1177/14759217241309075.
  • About this
    data sheet
  • Reference-ID
    10816774
  • Published on:
    03/02/2025
  • Last updated on:
    03/02/2025
 
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