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Deep learning approaches for prediction of adiabatic temperature rise of concrete with complex mixture constituents

Author(s):
ORCID
ORCID




Medium: journal article
Language(s): English
Published in: Journal of Building Engineering, , v. 73
Page(s): 106816
DOI: 10.1016/j.jobe.2023.106816
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.jobe.2023.106816.
  • About this
    data sheet
  • Reference-ID
    10726712
  • Published on:
    30/05/2023
  • Last updated on:
    30/05/2023
 
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