Assessment of Soil Liquefaction Potential Prediction Using Synthetic Data and Soft Computing Techniques
Crossref DOI link: https://doi.org/10.1007/s40515-026-00818-6
Published Online: 2026-02-13
Published Print: 2026-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Naik, Jajati Keshari
Muduli, Pradyut Kumar
Behera, Gopal Charan
Text and Data Mining valid from 2026-02-01
Version of Record valid from 2026-02-01
Article History
Received: 8 January 2026
Accepted: 4 February 2026
First Online: 13 February 2026
Declarations
:
: The authors declare no competing interests.