Improving landslide susceptibility prediction through ensemble recursive feature elimination and meta-learning framework

Abstract Landslides pose significant threats to ecosystems, lives, and economies, particularly in the geologically fragile Sub-Himalayan region of West Bengal, India. This study enhances landslide susceptibility prediction by developing an ensemble framework integrating Recursive Feature Elimination...

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Ngā kaituhi matua:	Krishnagopal Halder, Amit Kumar Srivastava, Anitabha Ghosh, Subhabrata Das, Santanu Banerjee, Subodh Chandra Pal, Uday Chatterjee, Dipak Bisai, Frank Ewert, Thomas Gaiser
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Nature Portfolio 2025-02-01
Rangatū:	Scientific Reports
Ngā marau:	Landslide Machine learning Recursive feature elimination, meta-learning framework
Urunga tuihono:	https://doi.org/10.1038/s41598-025-87587-3
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Improving landslide susceptibility prediction through ensemble recursive feature elimination and meta-learning framework

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