2021
DOI: 10.3389/feart.2021.701837
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Determining the Geotechnical Slope Failure Factors via Ensemble and Individual Machine Learning Techniques: A Case Study in Mandi, India

Abstract: Landslide disaster risk reduction necessitates the investigation of different geotechnical causal factors for slope failures. Machine learning (ML) techniques have been proposed to study causal factors across many application areas. However, the development of ensemble ML techniques for identifying the geotechnical causal factors for slope failures and their subsequent prediction has lacked in literature. The primary goal of this research is to develop and evaluate novel feature selection methods for identifyi… Show more

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Cited by 13 publications
(1 citation statement)
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“…• Model validation: Techniques such as k-fold cross-validation are used to assess model performance on different subsets of data, ensuring its robustness [63].…”
Section: Model Selection and Trainingmentioning
confidence: 99%
“…• Model validation: Techniques such as k-fold cross-validation are used to assess model performance on different subsets of data, ensuring its robustness [63].…”
Section: Model Selection and Trainingmentioning
confidence: 99%