Jaemo Kang

According to our database1, Jaemo Kang authored at least 5 papers between 2023 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Hybrid MLP-CNN-based ground sink susceptibility prediction in urban area using underground pipe map.
Reliab. Eng. Syst. Saf., 2024

Predictive Approaches for Ground Subsidence Hazard Using Machine Learning.
Proceedings of the IGARSS 2024, 2024

Urban Ground Subsidence Vulnerability Assessment through Spatial Regression Analysis.
Proceedings of the IGARSS 2024, 2024

2023
Efficiency Study of Combined UAS Photogrammetry and Terrestrial LiDAR in 3D Modeling for Maintenance and Management of Fill Dams.
Remote. Sens., April, 2023

Machine Learning-Based Predictive Model of Ground Subsidence Risk Using Characteristics of Underground Pipelines in Urban Areas.
IEEE Access, 2023


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