Machine learning approach for predicting the compressive strength of biomedical waste ash in concrete: a sustainability approach
Crossref DOI link: https://doi.org/10.1007/s43939-025-00223-9
Published Online: 2025-02-21
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Kumar, Rakesh
Karthik, S.
Kumar, Abhishek
Tantri, Adithya
Shahaji,
Sathvik, S.
Text and Data Mining valid from 2025-02-21
Version of Record valid from 2025-02-21
Article History
Received: 4 September 2024
Accepted: 7 February 2025
First Online: 21 February 2025
Declarations
:
: The authors declare no competing interests.