Empirical Comparison of Supervised Learning Methods for Assessing the Stability of Slopes Adjacent to Military Operation Roads
The Civilian Access Control Zone (CACZ), south of the Demilitarized Zone (DMZ) separating North and South Korea, has functioned as a unique bio-reserve owing to restrictions on human use. However, it is now increasingly threatened by damaged land and slope failures. In this study, a machine-learning...
Main Authors: | SeMyung Kwon, Leilei Pan, Yongrae Kim, Sang In Lee, Hyeongkeun Kweon, Kyeongcheol Lee, Kyujin Yeom, Jung Il Seo |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-06-01
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Series: | Forests |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4907/14/6/1237 |
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