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YeongHyeon Park
YeongHyeon Park
SK Planet Co.,Ltd., Sungkyunkwan University
在 sk.com 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Fast Adaptive RNN Encoder–Decoder for Anomaly Detection in SMD Assembly Machine
YH Park, ID Yun
Sensors 18 (10), 3573, 2018
362018
Preprocessing Method for Performance Enhancement in CNN-based STEMI Detection from 12-lead ECG
YH Park, ID Yun, SH Kang
IEEE Access 7, 99964-99977, 2019
192019
Anomaly detection in particulate matter sensor using hypothesis pruning generative adversarial network
YH Park, WS Park, YB Kim
ETRI Journal, 2020
162020
Concise Logarithmic Loss Function for Robust Training of Anomaly Detection Model
YH Park
arXiv preprint arXiv:2201.05748, 2022
82022
Boost-up efficiency of defective solar panel detection with pre-trained attention recycling
YH Park, MJ Kim, U Gim, J Yi
IEEE Transactions on Industry Applications 59 (3), 3110-3120, 2023
72023
Design of Cost-Effective Auto-Encoder for Electric Motor Anomaly Detection in Resource Constrained Edge Device
YH Park, MJ Kim
3rd IEEE Eurasia Conference on IOT, Communication and Engineering 2021, 2021
72021
Comparison of RNN encoder-decoder models for anomaly detection
YH Park, ID Yun
arXiv preprint arXiv:1807.06576, 2018
52018
Efficient Non-Compression Auto-Encoder for Driving Noise-based Road Surface Anomaly Detection
YH Park, JH Jung
IEEJ Transactions on Electrical and Electronic Engineering, 2022
42022
Arrhythmia detection in electrocardiogram based on recurrent neural network encoder–decoder with Lyapunov exponent
YH Park, ID Yun
IEEJ Transactions on Electrical and Electronic Engineering 14 (8), 1273-1274, 2019
42019
Non-Compression Auto-Encoder for Detecting Road Surface Abnormality via Vehicle Driving Noise
YH Park, JH Jung
3rd IEEE 3rd International Conference on Architecture, Construction …, 2021
32021
Enhancing Defective Solar Panel Detection with Attention-Guided Statistical Features Using Pre-Trained Neural Networks
H Lee, YH Park, J Yi
2024 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2024
22024
Frequency of Interest-based Noise Attenuation Method to Improve Anomaly Detection Performance
YH Park, MJ Kim, WS Park
2023 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2023
22023
Noise Reduction and Driving Event Extraction Method for Performance Improvement on Driving Noise-based Surface Anomaly Detection
YH Park, JS Lee, MJ Kim, W Park
arXiv:2112.07214, 2021
22021
Visual defect obfuscation based self-supervised anomaly detection
YH Park, S Kang, MJ Kim, Y Lee, HS Kim, J Yi
Scientific Reports 14 (1), 18872, 2024
1*2024
Neural Network Training Strategy To Enhance Anomaly Detection Performance: A Perspective On Reconstruction Loss Amplification
YH Park, S Kang, MJ Kim, H Jeong, H Park, HS Kim, J Yi
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
12024
Latent Vector Expansion using Autoencoder for Anomaly Detection
UJ Gim, YH Park
arXiv preprint arXiv:2201.01416, 2022
12022
Attention! Is Recycling Artificial Neural Network Effective for Maintaining Renewable Energy Efficiency?
YH Park, MJ Kim, U Gim
2022 IEEE Texas Power and Energy Conference (TPEC), 1-5, 2022
12022
Self-Weighted Ensemble Method to Adjust the Influence of Individual Models based on Reliability
YH Park, JS Lee, W Park
arXiv preprint arXiv:2104.04120, 2021
12021
Feature Attenuation of Defective Representation Can Resolve Incomplete Masking on Anomaly Detection
YH Park, S Kang, MJ Kim, HS Kim, J Yi
arXiv preprint arXiv:2407.04597, 2024
2024
Scene Depth Estimation from Traditional Oriental Landscape Paintings
S Kang, YH Park, H Park, J Yi
arXiv preprint arXiv:2403.03408, 2024
2024
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