Machine learning-based prediction of unconfined compressive strength of organic-rich clay shales using hybrid destructive and non-destructive inputs
Crossref DOI link: https://doi.org/10.1038/s41598-025-15572-x
Published Online: 2025-08-29
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Ali, Muhammad
Aziz, Mubashir
Ali, Aaqib
Ali, Usman
Text and Data Mining valid from 2025-08-29
Version of Record valid from 2025-08-29
Article History
Received: 8 May 2025
Accepted: 8 August 2025
First Online: 29 August 2025
Declarations
:
: The authors declare no competing interests.