Deep-learning-based fault detection and recipe optimization for a plastic injection molding process under the class-imbalance problem. - Jin Uk Ko; Jinwook Lee; Taehun Kim; Yong Chae Kim; Byeng D. Youn (J. Comput. Des. Eng., 2023)

Frequency-learning generative network (FLGN) to generate vibration signals of variable lengths. - Jin Uk Ko; Jinwook Lee; Taehun Kim; Yong Chae Kim; Byeng D. Youn (Expert Syst. Appl., 2023)

Spectrum-guided GAN with density-directionality sampling: Diverse high-fidelity signal generation for fault diagnosis of rotating machinery. - Taehun Kim; Jin Uk Ko; Jinwook Lee; Yong Chae Kim; Joon Ha Jung; Byeng D. Youn (Adv. Eng. Informatics, 2024)

Latent space alignment based domain adaptation (LSADA) for fault diagnosis of rotating machinery. - Yong Chae Kim; Jin Uk Ko; Jinwook Lee; Taehun Kim; Joon Ha Jung; Byeng D. Youn (Adv. Eng. Informatics, 2024)

Domain adaptation with label-aligned sampling (DALAS) for cross-domain fault diagnosis of rotating machinery under class imbalance. - Jinwook Lee; Jin Uk Ko; Taehun Kim; Yong Chae Kim; Joon Ha Jung; Byeng D. Youn (Expert Syst. Appl., 2024)

Gradient Alignment based Partial Domain Adaptation (GAPDA) using a domain knowledge filter for fault diagnosis of bearing. - Yong Chae Kim; Jinwook Lee; Taehun Kim; Jonghwa Baek; Jin Uk Ko; Joon Ha Jung; Byeng D. Youn (Reliab. Eng. Syst. Saf., 2024)