A multi-model statistical, machine learning, and deep learning framework for landslide susceptibility in Nepal’s mid-hills
Crossref DOI link: https://doi.org/10.1007/s44475-026-00029-0
Published Online: 2026-04-29
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Pathak, Lalit
Text and Data Mining valid from 2026-04-29
Version of Record valid from 2026-04-29
Article History
Received: 7 December 2025
Revised: 15 March 2026
Accepted: 14 April 2026
First Online: 29 April 2026
Declarations
:
: Not applicable.
: The authors declare no competing interests.