Interpretable Machine Learning for Explaining and Predicting Collapse Hazards in the Changbai Mountain Region

This study analyzes collapse hazards for complex interactions between geology, meteorology, and human activities in the Changbai Mountain region, focusing on how to cope with these features through machine learning. Using a dataset of 651 collapse events, this study evaluates four machine learning m...

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Bibliografische gegevens

Hoofdauteurs:	Xiangyang He, Qiuling Lang, Jiquan Zhang, Yichen Zhang, Qingze Jin, Jinyuan Xu
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2025-02-01
Reeks:	Sensors
Onderwerpen:	collapse hazard assessment machine learning Changbai Mountain SHAP
Online toegang:	https://www.mdpi.com/1424-8220/25/5/1512
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