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A spatiotemporal feature fusion-based deep learning framework for synchronous prediction of excavation stability

Author(s):



Medium: journal article
Language(s): English
Published in: Tunnelling and Underground Space Technology, , v. 147
Page(s): 105733
DOI: 10.1016/j.tust.2024.105733
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.tust.2024.105733.
  • About this
    data sheet
  • Reference-ID
    10770357
  • Published on:
    29/04/2024
  • Last updated on:
    29/04/2024
 
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