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Predicting variation of multipoint earth pressure in sealed chambers of shield tunneling machines based on hybrid deep learning

Author(s):




Medium: journal article
Language(s): English
Published in: Automation in Construction, , v. 143
Page(s): 104567
DOI: 10.1016/j.autcon.2022.104567
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.2022.104567.
  • About this
    data sheet
  • Reference-ID
    10697978
  • Published on:
    11/12/2022
  • Last updated on:
    11/12/2022
 
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