0
  • DE
  • EN
  • FR
  • International Database and Gallery of Structures

Advertisement

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
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:
    23/03/2024
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine