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Yong‐Wan Kwon
Observed names:
Yong-Wan Kwon,
YongWan Kwon,
Yongwan Kwon
Institution:
Pusan National University
Observed institution:
Pusan National University
OpenAlex ID:
A5113976367
Fabrication of laser-induced graphene-based multifunctional sensing platform for sweat ion and human motion monitoring
2021
·
Chan-Woo Lee
, Sung-Yeob Jeong
, et al.
·
Sensors and Actuators A Physical
·
63
PDF
Enhancing electrochemical performance of colorless polyimide-derived laser-induced graphene via gold nanoparticles integration: Towards advanced wearable and energy harvesting applications
2024
·
Sungyeob Jeong
, Yongwan Kwon
, et al.
·
Nano Energy
·
24
Unveiling the Potential of Colorless Polyimide‐Derived Laser‐Induced Graphene: A Novel Pathway for Advanced Sensor and Energy Harvester Performance
2023
·
Sung‐Yeob Jeong
, Yusuke Ito
, et al.
·
Advanced Materials Interfaces
·
19
PDF
Enhancing Laser-Induced Graphene via Integration of Gold Nanoparticles and Titanium Dioxide for Sensing and Robotics Applications
2024
·
Sung-Yeob Jeong
, Jin-Su Kim
, et al.
·
ACS Applied Materials & Interfaces
·
9
Anomaly Detecting Geometric Transformation Network with Outlier Exposure Defect Inspection of Real Industrial Data
2022
·
Yong-Wan Kwon
, Dong-Joong Kang
·
International Journal of Precision Engineering and Manufacturing
·
5
Development of Washing Machine Dehydration Unbalance Control Specifications Through Bayesian Optimization
2025
·
Cheolu Choi
, Yongwan Kwon
, et al.
·
Applied Sciences
·
3
PDF
Developing laser-induced graphene from colorless polyimide for enhanced performance in pressure sensors and triboelectric nanogenerators
2024
·
Sung-Yeob Jeong
, Yusuke Ito
, et al.
·
2
GTOE: Anomaly Detection Geometric Transformation Network with Outlier Exposure for Real Industry Data
2021
·
Yong-Wan Kwon
, Dong-Joong Kang
·
International Conference on Control, Automation and Systems (ICCAS)
·
1
Reconstruction-Based Anomaly Detection with Noise-Induced Normal Sample Augmentation
2023
·
Yong-Wan Kwon
, Dong-Joong Kang
·
International Conference on Control, Automation and Systems (ICCAS)
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Works count:
9
Citation count:
126
H-index:
5
I10-index:
3
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