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연구 성과

2026. 03. 24

Learning-based reflection-aware virtual point removal for large-scale 3D point clouds (IEEE Robot. Autom. Lett.), Prof. Jae-Young Sim

Learning-Based Reflection-Aware Virtual Point Removal for Large-Scale 3D Point Clouds IEEE Robotics and Automation Letters ( IF 5.2 ) Pub Date: 2023-11-01 , DOI:10.1109/lra.2023.3329365 Oggyu Lee, Kyungdon Joo, Jae-Young Sim 3D point clouds are widely used for robot perception and navigation. LiDAR sensors can provide large scale 3D point clouds (LS3DPC) with a certain level...

2026. 03. 24

Effective and efficient core computation in signed networks (Inf. Sci.), Prof. Junghoon Kim

Effective and efficient core computation in signed networks Author: Junghoon Kim, Hyun Ji Jeong , Sungsu Lim , Jungeun Kim Abstract With the proliferation of mobile technology and IT development, people can use social network services anywhere and anytime. Among many social network mining problems, identifying cohesive subgraphs has attracted...

2026. 03. 24

Quantifying incident impacts and identifying influential features in urban traffic networks (Transportmetrica B-Transp. Dyn.), Prof. Sungil Kim

Quantifying incident impacts and identifying influential features in urban traffic networks Author: JuYeong Lee,JiIn Kwak,YongKyung Oh &Sungil Kim   Abstract Traffic incidents are a common occurrence in urban traffic networks, but predicting their impacts is challenging because of network complexity and the dynamic spatial and temporal dependencies inherent in...

2026. 03. 24

Chemistry-informed machine learning: Using chemical property features to improve gas classification performance (Chemometrics Intell. Lab. Syst.), Prof. Sungil Kim, Prof. Chiehyeon Lim

Chemistry-informed machine learning: Using chemical property features to improve gas classification performance Author : Yeram Kim , Chiehyeon Lim , Junghye Lee , Sungil Kim , Sewon Kim , Dong-Hwa Seo Abstract Chemical recognition using machine learning based on detection by gas sensors relies on the accuracy and...

2026. 03. 24

Development of human-in-the-loop experiment system to extract evacuation behavioral features: A case of evacuees in nuclear emergencies (Nucl. Eng. Technol.), Prof. Namhun Kim

Development of human-in-the-loop experiment system to extract evacuation behavioral features: A case of evacuees in nuclear emergencies Author： Younghee Park , Soohyung Park , Jeongsik Kim , Byoung-jik Kim , Namhun Kim    Abstract Evacuation time estimation (ETE) is crucial for the effective implementation of resident protection measures as...