Prediction of building subsidence in Vietnam using machine learning techniques based on leveling results

Prediction of building subsidence in Vietnam using machine learning techniques based on leveling results

Vietnam’s rapid urbanization and economic growth have led to an increase in high-rise buildings, making building subsidence a significant concern. Monitoring subsidence is crucial for ensuring building safety and reducing potential risks. The leveling method is commonly used in Vietnam to monitor s...

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Bibliographic Details
Main Authors: Dinh Trong Tran, Ngoc Dung Luong, Dinh Huy Nguyen
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2024-12-01
Series:Geodesy and Cartography
Subjects:
building subsidence
leveling
machine learning
linear regression
decision tree regression
random forest regression
Online Access:https://jest.vgtu.lt/index.php/GAC/article/view/20237
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