Hybrid Random Forest Advanced Machine Learning with Nature-Inspired Optimization Approaches for Predicting the Embedment Depth of Cantilever Sheet Piles
Crossref DOI link: https://doi.org/10.1007/s40515-026-00798-7
Published Online: 2026-02-21
Published Print: 2026-03
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Boonyong, Chaiyathawat
Wipulanusat, Warit
Keawsawasvong, Suraparb
Text and Data Mining valid from 2026-02-21
Version of Record valid from 2026-02-21
Article History
Received: 20 October 2025
Accepted: 15 January 2026
First Online: 21 February 2026
Declarations
:
: The authors declare no competing interests.