Hand Gesture Recognition Using Clip Device Applicable to Smart Watch Based on Flexible Sensor. - Sung Woo Byun 001; Da-Kyeong Oh; MyoungJin Son; Ju Hee Kim; Ye Jin Lee; Seok-Pil Lee (ELM, 2018)

Implementation of hand gesture recognition based on flexible sensor array for mobile devices. - Sung Woo Byun 001; Seok-Pil Lee (ICCE, 2019)

Illegal Audio Copy Detection using Fundamental Frequency Map. - Heui-Su Son; Sung Woo Byun 001; Seok-Pil Lee (ICETE (1), 2019)

Fast and Robust Watermarking Method Based on DCT Specific Location. - Sung Woo Byun 001; Heui-Su Son; Seok-Pil Lee (IEEE Access, 2019)

Stochastic Non-linear Hashing for Near-Duplicate Video Retrieval using Deep Feature applicable to Large-scale Datasets. - Sung-Woo Byun 001; Seok-Pil Lee (KSII Trans. Internet Inf. Syst., 2019)

A Robust Audio Fingerprinting Using a New Hashing Method. - Heui-Su Son; Sung-Woo Byun 001; Seok-Pil Lee (IEEE Access, 2020)

Human emotion recognition based on the weighted integration method using image sequences and acoustic features. - Sung Woo Byun 001; Seok-Pil Lee (Multim. Tools Appl., 2021)

Design of obstacle detection method for autonomous driving in agricultural environments. - Sung-Woo Byun 001; Dong-Hee Noh; Hea-Min Lee (ICUFN, 2022)

Design and Implementation of a Digital Twin Platform in Vertical Farming Systems. - Tae-Hwan Ko; Hea-Min Lee; Dong-Hee Noh; Ju-Hwan Choi; Sung-Woo Byun 001 (ICUFN, 2022)

Design of Autonomous Driving Algorithms for Fruit harvesting in orchards. - Hea-Min Lee; Dong-Hee Noh; HyunGu Kang; Sung-Woo Byun 001; Ju-Hwan Choi (ICUFN, 2022)

Artificial Intelligence-Based Plant Breeding using Genotype and Phenotype Data: Methods and Future Work. - Jiho Choi; Sung-Woo Byun 001; Taehoon Lim; Hye In Lee; Hwa Seon Shin; Geon Woo Kim 003; Jin-Kyung Kwon; Byoung-Cheorl Kang (IEEE Big Data, 2023)

A Study of Drift Effect in a Popular Metal Oxide Sensor and Gas Recognition Using Public Gas Datasets. - Il-Sik Chang; Sung-Woo Byun 001; Tae-Beom Lim; Goo-Man Park (IEEE Access, 2023)

A study on phenotype prediction using an artificial intelligence-based data augmentation approach. - Jiho Choi; Sung Woo Byun 001; Najeong Chae; Ji-Hoon Lim; Taehoon Lim; Hye In Lee; Hwa Seon Shin (IEEE Big Data, 2024)

A Study on E-Nose System in Terms of the Learning Efficiency and Accuracy of Boosting Approaches. - Il-Sik Chang; Sung-Woo Byun 001; Tae-Beom Lim; Goo-Man Park (Sensors, 2024)