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Prediction on compressive strength of Engineered Cementitious composites using Machine learning approach

Author(s):



Medium: journal article
Language(s): English
Published in: Construction and Building Materials, , v. 342
Page(s): 127933
DOI: 10.1016/j.conbuildmat.2022.127933
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.2022.127933.
  • About this
    data sheet
  • Reference-ID
    10682055
  • Published on:
    17/06/2022
  • Last updated on:
    17/06/2022
 
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