Article

A Comparative Study of TabNet and Classical Machine Learning Models for Landslide Prediction

2025-10-18

Abstract excerpt

<title>Abstract</title> <p> Landslides are a major geohazard that endanger human life, infrastructure, and ecosystems, highlighting the need for accurate susceptibility mapping to support proactive disaster risk management. Traditional machine learning models such as Random Forest (RF), Support Vector Machine (SVM), Artificial Neural Networks (ANN), and XGBoost have shown utility but often struggle to capture th...

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Literature Corpus work: f6ff31ec-0f9a-56e5-9070-8797faeda822
DOI: 10.21203/rs.3.rs-7694229/v1

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