A fast eye-movement tracking using cross-division algorithm. - Jongman Cho; Sungil Kim; Jaehong Lim (EMBC (Supplement), 2006)

A Reactive Local Positioning System for Ad Hoc Networks. - Sungil Kim; Yoo Chul Chung; Yangwoo Ko; Dongman Lee (SUTC, 2008)

NAT Issues in the Remote Management of Home Network Devices. - Choongul Park; Kitae Jeong; Sungil Kim; Youngseok Lee 002 (IEEE Netw., 2008)

Ordinal Classification of Imbalanced Data with Application in Emergency and Disaster Information Services. - Sungil Kim; Heeyoung Kim; Younghwan Namkoong (IEEE Intell. Syst., 2016)

Incorporation of engineering knowledge into the modeling process: a local approach. - Heeyoung Kim; Justin T. Vastola; Sungil Kim; Jye-Chyi Lu; Martha A. Grover (Int. J. Prod. Res., 2017)

Early detection of vessel delays using combined historical and real-time information. - Sungil Kim; Heeyoung Kim; Yongro Park (J. Oper. Res. Soc., 2017)

Revealing household characteristics using connected home products. - Sungil Kim (Inf. Sci., 2019)

Characteristics of an Implantable Blood Pressure Sensor Packaged by Ultrafast Laser Microwelding. - Sungil Kim; Jaesoon Park; Sangkyun So; Sanghoon Ahn; Jiyeon Choi; Chiwan Koo; Yeun-Ho Joung (Sensors, 2019)

Multi-channel Convolution Neural Network for Gas Mixture Classification. - YongKyung Oh; Sungil Kim (ICDM (Workshops), 2021)

Time Delay Estimation of Traffic Congestion Propagation based on Transfer Entropy. - YongKyung Oh; Jiin Kwak; JuYoung Lee; Sungil Kim (CoRR, 2021)

Maximum feasibility estimation. - Sungil Kim (Inf. Sci., 2021)

New Crypto-Secured Lending System with a Two-Way Collateral Function. - Sungil Kim (Ledger, 2021)

Sensor drift compensation for gas mixture classification in batch experiments. - YongKyung Oh; Juhui Lee; Sungil Kim (Qual. Reliab. Eng. Int., 2023)

Improved prediction of shale gas productivity in the Marcellus shale using geostatistically generated well-log data and ensemble machine learning. - Sungil Kim; Yongjun Hong; Jung-Tek Lim; Kwang Hyun Kim (Comput. Geosci., 2023)

Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data. - YongKyung Oh; Dongyoung Lim; Sungil Kim (ICLR, 2024)

Domain-knowledge-informed functional outlier detection for line quality control systems. - Jong Hwan Mun; Jitae Yoo; Heesun Kim; Nayi Ryu; Sungil Kim (Comput. Ind. Eng., 2024)

Invertible Solution of Neural Differential Equations for Analysis of Irregularly-Sampled Time Series. - YongKyung Oh; Dongyoung Lim; Sungil Kim (CoRR, 2024)

Multi-modal lifelog data fusion for improved human activity recognition: A hybrid approach. - YongKyung Oh; Sungil Kim (Inf. Fusion, 2024)

Spatially-correlated time series clustering using location-dependent Dirichlet process mixture model. - Junsub Jung; Sungil Kim; Heeyoung Kim (Stat. Anal. Data Min., 2024)

Multichannel convolution neural network for gas mixture classification. - YongKyung Oh; Chiehyeon Lim; Junghye Lee; Sewon Kim; Sungil Kim (Ann. Oper. Res., 2024)

Grid-Based Bayesian Bootstrap Approach for Real-Time Detection of Abnormal Vessel Behaviors From AIS Data in Maritime Logistics. - YongKyung Oh; Sungil Kim (IEEE Trans Autom. Sci. Eng., 2024)

DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis. - YongKyung Oh; Dong-Young Lim; Sungil Kim (AAAI, 2025)

TAOD-Net: Automated detection and analysis of thyroid-associated orbitopathy in facial imagery. - Yongkyung Oh; Giheon Koh; Jiin Kwak; Kyubo Shin; Gi-Soo Kim; Min Joung Lee; Hokyung Choung; Namju Kim; Jae Hoon Moon; Sungil Kim (Comput. Ind. Eng., 2025)

Comprehensive Review of Neural Differential Equations for Time Series Analysis. - YongKyung Oh; Seungsu Kam; Jonghun Lee; Dong-Young Lim; Sungil Kim; Alex Bui (CoRR, 2025)