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Predicting the compressive strength of engineered geopolymer composites using automated machine learning

Author(s): ORCID


Medium: journal article
Language(s): English
Published in: Construction and Building Materials, , v. 442
Page(s): 137509
DOI: 10.1016/j.conbuildmat.2024.137509
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.2024.137509.
  • About this
    data sheet
  • Reference-ID
    10793771
  • Published on:
    01/09/2024
  • Last updated on:
    01/09/2024
 
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