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Journal: Appl. Sci., 2023
Volume: 13
Number: 5566

Article: Prediction Modeling of Ground Subsidence Risk Based on Machine Learning Using the Attribute Information of Underground Utilities in Urban Areas in Korea
Authors: by Sungyeol Lee, Jaemo Kang and Jinyoung Kim
Link: https://www.mdpi.com/2076-3417/13/9/5566

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