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Data-driven model for ternary-blend concrete compressive strength prediction using machine learning approach

Author(s):



Medium: journal article
Language(s): English
Published in: Construction and Building Materials, , v. 301
Page(s): 124152
DOI: 10.1016/j.conbuildmat.2021.124152
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.2021.124152.
  • About this
    data sheet
  • Reference-ID
    10628940
  • Published on:
    03/09/2021
  • Last updated on:
    03/09/2021
 
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