3 papers
cs.LG2025
MECKD: Deep Learning-Based Fall Detection in Multilayer Mobile Edge Computing With Knowledge Distillation
Wei-Lung Mao, Chun-Chi Wang, Po-Heng Chou +2
The rising aging population has increased the importance of fall detection (FD) systems as an assistive technology, where deep learning techniques are widely applied to enhance acc…
cs.CV2025
Automated Defect Detection for Mass-Produced Electronic Components Based on YOLO Object Detection Models
Wei-Lung Mao, Chun-Chi Wang, Po-Heng Chou +1
Since the defect detection of conventional industry components is time-consuming and labor-intensive, it leads to a significant burden on quality inspection personnel and makes it…
cs.CV2025
YOLO-Based Defect Detection for Metal Sheets
Po-Heng Chou, Chun-Chi Wang, Wei-Lung Mao
In this paper, we propose a YOLO-based deep learning (DL) model for automatic defect detection to solve the time-consuming and labor-intensive tasks in industrial manufacturing. In…