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An ensemble learning paradigm for subsurface stratigraphy from sparse measurements and augmented training images

Author(s): ORCID
ORCID

Medium: journal article
Language(s): English
Published in: Tunnelling and Underground Space Technology, , v. 153
Page(s): 105972
DOI: 10.1016/j.tust.2024.105972
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.2024.105972.
  • About this
    data sheet
  • Reference-ID
    10791866
  • Published on:
    01/09/2024
  • Last updated on:
    01/09/2024
 
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