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Effectiveness of hybrid ensemble machine learning models for landslide susceptibility analysis: Evidence from Shimla district of North-west Indian Himalayan region

Crossref DOI link: https://doi.org/10.1007/s11629-024-8651-7

Published Online: 2024-07-09

Published Print: 2024-07

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Sharma, Aastha https://orcid.org/0000-0001-5963-9106
Sajjad, Haroon https://orcid.org/0000-0002-2007-1266
Rahaman, Md Hibjur https://orcid.org/0000-0002-8999-7497
Saha, Tamal Kanti https://orcid.org/0000-0002-8595-3323
Bhuyan, Nirsobha https://orcid.org/0000-0002-0882-8553
License Information

Text and Data Mining valid from 2024-07-01

Version of Record valid from 2024-07-01
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Article History

Received: 27 January 2024

Revised: 20 May 2024

Accepted: 1 June 2024

First Online: 9 July 2024

Ethics

: <b>Conflict of Interest:</b> The authors declare that they have no conflict of interest.

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