Integrating experimental data and machine learning to predict collapse potential of loessic and lacustrine–alluvial soils using suction and SWCC parameters
Crossref DOI link: https://doi.org/10.1038/s41598-026-46537-3
Published Online: 2026-05-11
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Tabatabaei, Azam Al-Sadat
Abtahi, Sayyed Mahdi
Hashemolhosseini, Hamid
Hajiannia, Alborz
Text and Data Mining valid from 2026-05-11
Accepted Manuscript valid from 2026-05-11
Article History
Received: 28 November 2025
Accepted: 26 March 2026
First Online: 11 May 2026
Declarations
:
: The authors declare no competing interests.