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Enhancing the reliability and accuracy of machine learning models for predicting carbonation progress in fly ash‐concrete: A multifaceted approach

Author(s): ORCID (Department of Civil Engineering Near East University Mersin Turkey)
ORCID (Department of Civil Engineering Bahçeşehir Cyprus University Mersin Turkey)
Medium: journal article
Language(s): English
Published in: Structural Concrete, , n. 4, v. 25
Page(s): 3020-3034
DOI: 10.1002/suco.202300912
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: 10.1002/suco.202300912.
  • About this
    data sheet
  • Reference-ID
    10758125
  • Published on:
    23/03/2024
  • Last updated on:
    20/09/2024
 
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