An Algorithmic Approach to the Improvement of Efficiency for Surface Mounting Machines. - Joe-Min Hong; Sunghan Lee; Dae-Won Kim; Bum-Hee Lee; Jung-Duk Kim; Jae-Ok Kim (ICRA, 1995)

An effective algorithm for a surface mounting machine in printed circuit board assembly. - Sunghan Lee; Jee Min Hong; Dae-Won Kim; Beom Hee Lee 001 (IROS, 1997)

Improving the productivity of a multi-head surface mounting machine with genetic algorithms. - Wonsik Lee; Sunghan Lee; Young Dae Lee; Beom Hee Lee 001 (IROS, 1999)

An Efficient Planning Algorithm for Multi-head Surface Mounting Machines Using a Genetic Algorithm. - Wonsik Lee; Sunghan Lee; Beom Hee Lee 001; Young Dae Lee (J. Univers. Comput. Sci., 1999)

Principal properties and experiments of hydraulic actuator for robot. - Dae Gyeong Kim; Sunghan Lee; Hyunmin Shin; Gyouyoung Lee; Jaejun Park; Kitak Ahn; SungMoo Ryew (URAI, 2014)

Simultaneous bio-signal measurement system for multiple users - development and validation. - Sunghan Lee; Hohyun Cho; Sung Chan Jun (APSIPA, 2017)

EEG Hyperscanning for Eight or more Persons - Feasibility Study for Emotion Recognition using Deep Learning Technique. - Sunghan Lee; Sangjun Han; Sung Chan Jun (APSIPA, 2018)

Feasibility Study of EEG Super-Resolution Using Deep Convolutional Networks. - Sangjun Han; Moonyoung Kwon; Sunghan Lee; Sung Chan Jun (SMC, 2018)

Seeking RSVP Task Features Correlated with P300 Speller Performance. - Kyungho Won; Moonyoung Kwon; Sunghan Lee; Sehyeon Jang; Jongmin Lee; Minkyu Ahn; Sung Chan Jun (SMC, 2018)

Simultaneous EEG Acquisition System for Multiple Users: Development and Related Issues. - Sunghan Lee; Hohyun Cho; Kiseong Kim; Sung Chan Jun (Sensors, 2019)

Pain Classification using Evoked EEG Induced by Thermal Grill Illusion - Deep Neural Network Approach. - Jihoon Baek; Kyungho Won; Heegyu Kim; Sunghan Lee; Jinung An; Sung Chan Jun (EMBC, 2023)

Exploring the Possibility of Arrhythmia Interpretation of Time Domain ECG Using XAI: A Preliminary Study. - Sunghan Lee; Jeonghwan Koh; Guangyao Zheng; Vladimir Braverman; In Cheol Jeong (AIME (2), 2024)

Towards early detection of chronic kidney disease based on gait patterns: IMU-based approach using neural networks. - Sunghan Lee; Jeonghwan Koh; GyeongBong Kim; Seok-jue Jeong; Youngjin Song; Moo-Eob Ahn; Hyunsuk Kim; In Cheol Jeong (EMBC, 2024)

ECG-based Daily Activity Recognition Using 1D Convolutional Neural Networks. - Suyeon Yun; Sunghan Lee; GyeongBong Kim; Sung Pil Cho; Semin Ryu; In Cheol Jeong (EMBC, 2024)

Exploring the Possibility of Photoplethysmography-Based Human Activity Recognition Using Convolutional Neural Networks. - Semin Ryu; Suyeon Yun; Sunghan Lee; In Cheol Jeong (Sensors, 2024)

Eye Image and EOG Signal Conversion via Autoencoders for Human-Machine Interaction. - Seok-jue Jeong; Sunghan Lee; Jeonghwan Koh; Hyungchan An; In Cheol Jeong (ICCE, 2025)

Optimized Filtering and Posture Analysis for Noise Reduction in BCG-Based Heart Rate Monitoring. - Jinwon Kim; Sunghan Lee; Ung Park; Suyeon Yun; Semin Ryu; In Cheol Jeong (ICCE, 2025)

AI-Enabled Speech Monitoring for Dysarthria Detection in Consumer Electronics. - Seoyeong Lee; Sunghan Lee; Goeun Park; Dong-Ok Won; Chul-Ho Kim; Jae-Jun Lee; In Cheol Jeong (ICCE, 2025)

Patch-type wearable electrocardiography and impedance pneumography for sleep staging: A multi-modal deep learning approach. - Sunghan Lee; Ung Park; Suyeon Yun; Goeun Park; Sung Pil Cho; Kyung Min Kim; In Cheol Jeong (Comput. Biol. Medicine, 2025)

Optimizing beat-wise input for arrhythmia detection using 1-D convolutional neural networks: A real-world ECG study. - Sunghan Lee; Guangyao Zheng; Jeonghwan Koh; Haoran Li 006; Zicheng Xu; Sung Pil Cho; Sung Il Im; Vladimir Braverman; In Cheol Jeong (Comput. Methods Programs Biomed., 2025)

PPGAIHI: Efficient Authentication in Healthcare IoT via CNN- and Distance-Based Thresholding. - Sunghan Lee; GyeongBong Kim; In Cheol Jeong (IEEE Internet Things J., 2025)