Sung Woo Byun

Orcid: 0000-0002-4648-873X

Affiliations:
  • Korea Electronics Technology Institute (KETI), Jeonju, South Korea
  • Sangmyung University, Department of Computer Science, Seoul, South Korea (PhD 2021)


According to our database1, Sung Woo Byun authored at least 13 papers between 2018 and 2024.

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

Timeline

Legend:

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Bibliography

2024
A Study on E-Nose System in Terms of the Learning Efficiency and Accuracy of Boosting Approaches.
Sensors, 2024

2023
A Study of Drift Effect in a Popular Metal Oxide Sensor and Gas Recognition Using Public Gas Datasets.
IEEE Access, 2023

Artificial Intelligence-Based Plant Breeding using Genotype and Phenotype Data: Methods and Future Work.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Design of Autonomous Driving Algorithms for Fruit harvesting in orchards.
Proceedings of the Thirteenth International Conference on Ubiquitous and Future Networks, 2022

Design and Implementation of a Digital Twin Platform in Vertical Farming Systems.
Proceedings of the Thirteenth International Conference on Ubiquitous and Future Networks, 2022

Design of obstacle detection method for autonomous driving in agricultural environments.
Proceedings of the Thirteenth International Conference on Ubiquitous and Future Networks, 2022

2021
Human emotion recognition based on the weighted integration method using image sequences and acoustic features.
Multim. Tools Appl., 2021

2020
A Robust Audio Fingerprinting Using a New Hashing Method.
IEEE Access, 2020

2019
Stochastic Non-linear Hashing for Near-Duplicate Video Retrieval using Deep Feature applicable to Large-scale Datasets.
KSII Trans. Internet Inf. Syst., 2019

Fast and Robust Watermarking Method Based on DCT Specific Location.
IEEE Access, 2019

Illegal Audio Copy Detection using Fundamental Frequency Map.
Proceedings of the 16th International Joint Conference on e-Business and Telecommunications, 2019

Implementation of hand gesture recognition based on flexible sensor array for mobile devices.
Proceedings of the IEEE International Conference on Consumer Electronics, 2019

2018
Hand Gesture Recognition Using Clip Device Applicable to Smart Watch Based on Flexible Sensor.
Proceedings of ELM 2018, 2018


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