Crossmark

Machine Learning Technique for the Prediction of Blended Concrete Compressive Strength

Crossref DOI link: https://doi.org/10.1007/s12205-024-0854-5

Published Print: 2024-02

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Jubori, Dawood S.A.

Nabilah, Abu B.

Safiee, Nor A.

Alias, Aidi H.

Nasir, Noor A.M.
License Information

Text and Data Mining valid from 2024-02-01

Text and Data Mining valid from 2024-02-01

Version of Record valid from 2024-08-22
More Information

This article is maintained by: Elsevier

Article Title: Machine Learning Technique for the Prediction of Blended Concrete Compressive Strength

Journal Title: KSCE Journal of Civil Engineering

CrossRef DOI link to publisher maintained version: https://doi.org/10.1007/s12205-024-0854-5

Content Type: article

Copyright: Copyright © 2024 © Korean Society of Civil Engineers 2024 published by Elsevier inc. Published by Elsevier Inc.