Hybrid Machine Learning Models to Predict the Uniaxial Compressive Strength of Rocks Based on Non-Destructive Tests
Crossref DOI link: https://doi.org/10.1007/s40515-025-00603-x
Published Online: 2025-05-23
Published Print: 2025-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ghorbani, Sasan
Bameri, Ali
Text and Data Mining valid from 2025-05-23
Version of Record valid from 2025-05-23
Article History
Accepted: 28 April 2025
First Online: 23 May 2025
Declarations
:
: The authors declare no competing interests.