Improving generalization in slope movement prediction using sequential models and hierarchical transformer predictor autoencoder

Improving generalization in slope movement prediction using sequential models and hierarchical transformer predictor autoencoder

Abstract Predicting slope movement has become a great challenge, especially in the Himalayan region, as such natural hazards cause great damage. Machine Learning (ML) models can help in the prediction of landslide hazards. Despite the capabilities of ML models in predicting landslide hazards, most e...

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Bibliographic Details
Main Authors: Praveen Kumar, Priyanka Priyanka, K. V. Uday, Varun Dutt
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Landslide
Monitoring
Hierarchical transformer
Variable sensitivity analysis
Environmental factors
Machine learning
Online Access:https://doi.org/10.1038/s41598-025-97147-4
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https://doi.org/10.1038/s41598-025-97147-4

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