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On the use of machine learning and data-transformation methods to predict hydration kinetics and strength of alkali-activated mine tailings-based binders

Author(s): ORCID
ORCID
ORCID
ORCID
ORCID
Medium: journal article
Language(s): English
Published in: Construction and Building Materials, , v. 419
Page(s): 135523
DOI: 10.1016/j.conbuildmat.2024.135523
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.conbuildmat.2024.135523.
  • About this
    data sheet
  • Reference-ID
    10772146
  • Published on:
    29/04/2024
  • Last updated on:
    29/04/2024
 
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