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Self-Supervised Deep Learning Framework for Anomaly Detection in Traffic Data

Author(s):
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Medium: journal article
Language(s): English
Published in: Journal of Transportation Engineering, Part A: Systems, , n. 5, v. 148
DOI: 10.1061/jtepbs.0000666
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: 10.1061/jtepbs.0000666.
  • About this
    data sheet
  • Reference-ID
    10662163
  • Published on:
    23/03/2022
  • Last updated on:
    23/03/2022
 
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