Hyeongmin Kim
Orcid: 0000-0003-2693-4621
According to our database1,
Hyeongmin Kim
authored at least 7 papers
between 2021 and 2025.
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Bibliography
2025
Combating phishing and script-based attacks: a novel machine learning framework for improved client-side security.
J. Supercomput., January, 2025
2024
Self-supervised feature learning for motor fault diagnosis under various torque conditions.
Knowl. Based Syst., 2024
PCDC: prototype-assisted dual-contrastive learning with depthwise separable convolutional neural network for few-shot fault diagnosis of permanent magnet synchronous motors under new operating conditions.
J. Comput. Des. Eng., 2024
2023
Opt-TCAE: Optimal temporal convolutional auto-encoder for boiler tube leakage detection in a thermal power plant using multi-sensor data.
Expert Syst. Appl., April, 2023
MPARN: multi-scale path attention residual network for fault diagnosis of rotating machines.
J. Comput. Des. Eng., March, 2023
2022
A health image for deep learning-based fault diagnosis of a permanent magnet synchronous motor under variable operating conditions: Instantaneous current residual map.
Reliab. Eng. Syst. Saf., 2022
2021
Drive-Tolerant Current Residual Variance (DTCRV) for Fault Detection of a Permanent Magnet Synchronous Motor Under Operational Speed and Load Torque Conditions.
IEEE Access, 2021