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논문
1 Development of Machine Learning Model to Predict the Ground Subsidence Risk Grade According to the Characteristics of Underground Facility
Lee, Sungyeol;Kang, Jaemo;Kim, Jinyoung; / Korean Geo-Environmental Society , v.23, no.8, pp.5-10,
2 Evaluation of Compaction Impact According to Compaction Roller Operating Conditions through CMV Analysis
Kim, Jinyoung;Baek, Sungha;Kim, Namgyu;Choi, Changho;Kim, Jisun;Cho, Jinwoo; / Korean Geo-Environmental Society , v.23, no.8, pp.11-16,
3 Safety Evaluation of the Settlement Amount of the Bridge Earthwork Transition Area Using the Ground Penetrating Radar in the Soft Ground Section
Jung, Gukyoung;Jo, Youngkyun;Kim, Sungrae; / Korean Geo-Environmental Society , v.23, no.8, pp.17-22,
4 The Characteristics of Long-term Deformation Behavior During Tunnel Excavation in the Pyroclastic Rock
Jang, Sukmyung;Han, Heuisoo; / Korean Geo-Environmental Society , v.23, no.8, pp.23-28,
5 The Effect of Ground Heterogeneity on the GPR Signal: Numerical Analysis
Lee, Sangyun;Song, Ki-il;Ryu, Heehwan;Kang, Kyungnam; / Korean Geo-Environmental Society , v.23, no.8, pp.29-36,