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An intelligent detection approach for multi-part cover based on deep learning under unbalanced and small size samples

Author(s): ORCID (Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China)
ORCID (Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China)
(State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, ChinaYuk Ming Tang is also affiliated to Faculty of Business, City University of Macau, Macau, China)
(Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong SAR, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring
DOI: 10.1177/14759217241264601
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: 10.1177/14759217241264601.
  • About this
    data sheet
  • Reference-ID
    10797460
  • Published on:
    01/09/2024
  • Last updated on:
    01/09/2024
 
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