Compressive strength prediction of carbonated recycled aggregate concrete using regression based machine learning models
Crossref DOI link: https://doi.org/10.1038/s41598-026-36197-8
Published Online: 2026-01-20
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Gebremariam, Hintsa G.
Taye, Shifferaw
Tarekegn, Abrham Gebre
Text and Data Mining valid from 2026-01-20
Version of Record valid from 2026-02-11
Article History
Received: 3 October 2025
Accepted: 9 January 2026
First Online: 20 January 2026
Declarations
:
: The authors declare no competing interests.