California bearing ratio and compaction parameters prediction using advanced hybrid machine learning methods
Crossref DOI link: https://doi.org/10.1007/s42107-024-01179-6
Published Online: 2024-10-02
Published Print: 2025-01
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Habal, Adel Hassan Yahya
Benbouras, Mohammed Amin
Text and Data Mining valid from 2024-10-02
Version of Record valid from 2024-10-02
Article History
Received: 12 August 2024
Accepted: 20 September 2024
First Online: 2 October 2024
Declarations
:
: The authors declare no competing interests.