Machine Learning-Based Prediction of Compressive Strength of Blended Concrete Using Categorical Encoding of Cementitious Materials
Crossref DOI link: https://doi.org/10.1007/s40996-025-02028-5
Published Online: 2025-09-16
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Sanyal, Prasenjit
Text and Data Mining valid from 2025-09-16
Version of Record valid from 2025-09-16
Article History
Received: 8 March 2024
Accepted: 3 September 2025
First Online: 16 September 2025
Declarations
:
: The authors declare no competing interests.