Minseok Chae
Orcid: 0000-0001-8693-1700
According to our database1,
Minseok Chae authored at least 13 papers
between 2020 and 2026.
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Bibliography
2026
PAColorHolo: A Perceptually-Aware Color Management Framework for Holographic Displays.
ACM Trans. Graph., April, 2026
Frequency-band graph-based sensor fusion with sensitivity-aware energy assist network for machinery system fault diagnosis.
Eng. Appl. Artif. Intell., 2026
An adapter-enhanced, Fourier feature deep operator network for fault severity estimation of stator inter-turn short circuits in induction motors.
Eng. Appl. Artif. Intell., 2026
2025
Light Pipe Holographic Display: Bandwidth-preserved Kaleidoscopic Guiding for AR Glasses.
ACM Trans. Graph., August, 2025
FL-SSDAN: Fleet-level semi-supervised domain adaptation network for fault diagnosis of overhead hoist transports.
J. Comput. Des. Eng., 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
Étendue Expansion in Holographic Near Eye Displays through Sparse Eye-box Generation Using Lens Array Eyepiece.
ACM Trans. Graph., August, 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
LensIet VR: Thin, Flat and Wide-FOV Virtual Reality Display Using Fresnel Lens and LensIet Array.
IEEE Trans. Vis. Comput. Graph., 2021
2020
IEEE Access, 2020