Assessment, Categorisation and Prediction of the Landslide-Affected Regions Using Soft Computing and Clustering Techniques
Crossref DOI link: https://doi.org/10.1007/s40031-023-00876-1
Published Online: 2023-04-16
Published Print: 2023-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Quraishi, Md. Iqbal http://orcid.org/0000-0001-9537-5478
Choudhury, J. Paul
Text and Data Mining valid from 2023-04-16
Version of Record valid from 2023-04-16
Article History
Received: 16 April 2022
Accepted: 22 March 2023
First Online: 16 April 2023
Declarations
:
: None.