Comparative evaluation of machine learning and deep learning approaches for compressive strength prediction of geopolymer concrete
Crossref DOI link: https://doi.org/10.1038/s41598-026-50705-w
Published Online: 2026-05-07
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ezz, H.
Bakr, S. M.
Funding for this research was provided by:
National Research Centre Egypt
Text and Data Mining valid from 2026-05-07
Version of Record valid from 2026-05-07
Article History
Received: 24 February 2026
Accepted: 22 April 2026
First Online: 7 May 2026
Declarations
:
: The authors declare no competing interests.