Explainable multi-attribute machine learning via a hierarchical nature-inspired system toward predicting geological hazards
Crossref DOI link: https://doi.org/10.1007/s40808-025-02421-z
Published Online: 2025-05-26
Published Print: 2025-08
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Zarchi, Milad
Nazari, Reza A.
Tee, Kong Fah
Text and Data Mining valid from 2025-05-26
Version of Record valid from 2025-05-26
Article History
Received: 1 February 2025
Accepted: 1 May 2025
First Online: 26 May 2025
Declarations
:
: The authors declare no competing interests.