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Prediction of compressive strength and feature importance analysis of solid waste alkali-activated cementitious materials based on machine learning

Author(s):





Medium: journal article
Language(s): English
Published in: Construction and Building Materials, , v. 407
Page(s): 133545
DOI: 10.1016/j.conbuildmat.2023.133545
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.2023.133545.
  • About this
    data sheet
  • Reference-ID
    10748915
  • Published on:
    14/01/2024
  • Last updated on:
    14/01/2024
 
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