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Predicting shield position deviation based on double-path hybrid deep neural networks

Author(s):



Medium: journal article
Language(s): English
Published in: Automation in Construction, , v. 148
Page(s): 104775
DOI: 10.1016/j.autcon.2023.104775
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: 10.1016/j.autcon.2023.104775.
  • About this
    data sheet
  • Reference-ID
    10710750
  • Published on:
    21/03/2023
  • Last updated on:
    21/03/2023
 
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