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Hyeongmin Kim
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2020 – today
- 2025
- [j7]Jiwon Hong, Hyeongmin Kim, Suhyeon Oh, Yerin Im, Hyeonseong Jeong, Hyunmin Kim, Eunkueng Jang, Kyounggon Kim:
Combating phishing and script-based attacks: a novel machine learning framework for improved client-side security. J. Supercomput. 81(1): 69 (2025) - 2024
- [j6]Minseok Chae, Hyeongmin Kim, Hye Jun Oh, Chan Hee Park, Chaehyun Suh, Heonjun Yoon, Byeng D. Youn:
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. 11(3): 337-358 (2024) - [j5]Sang Kyung Lee, Hyeongmin Kim, Minseok Chae, Hye Jun Oh, Heonjun Yoon, Byeng D. Youn:
Self-supervised feature learning for motor fault diagnosis under various torque conditions. Knowl. Based Syst. 288: 111465 (2024) - 2023
- [j4]Hyeongmin Kim, Jin Uk Ko, Kyumin Na, Hyeonchan Lee, Hee-soo Kim, Jong-Duk Son, Heonjun Yoon, Byeng D. Youn:
Opt-TCAE: Optimal temporal convolutional auto-encoder for boiler tube leakage detection in a thermal power plant using multi-sensor data. Expert Syst. Appl. 215: 119377 (2023) - [j3]Hyeongmin Kim, Chan Hee Park, Chaehyun Suh, Minseok Chae, Heonjun Yoon, Byeng D. Youn:
MPARN: multi-scale path attention residual network for fault diagnosis of rotating machines. J. Comput. Des. Eng. 10(2): 860-872 (2023) - 2022
- [j2]Chan Hee Park, Hyeongmin Kim, Chaehyun Suh, Minseok Chae, Heonjun Yoon, Byeng D. Youn:
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. 226: 108715 (2022) - 2021
- [j1]Chan Hee Park, Junmin Lee, Hyeongmin Kim, Chaehyun Suh, Myeongbaek Youn, Yongjin Shin, Sung-Hoon Ahn, Byeng D. Youn:
Drive-Tolerant Current Residual Variance (DTCRV) for Fault Detection of a Permanent Magnet Synchronous Motor Under Operational Speed and Load Torque Conditions. IEEE Access 9: 49055-49068 (2021)
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