5 papers
When the Cross-Silo Federation Goes Offline: Continual Learning for Site Onboarding with Limited Unlabeled Data
Ahmadreza Eslaminia, Klara Nahrstedt, Chenhui Shao
An organization often holds too little labeled data to train a model that generalizes, and the records that would supply the rest sit with organizations that cannot release them. C…
A Synthetic 3D Gear Dataset for Manufacturing Quality Inspection (MFGNet-Gear)
Ruo-Syuan Mei, Chenhui Shao
Quality control in smart manufacturing increasingly relies on data-driven methods, particularly deep learning, to automate the inspection of manufactured parts. Recent advances in…
Adaptive Unknown Fault Detection and Few-Shot Continual Learning for Condition Monitoring in Ultrasonic Metal Welding
Ahmadreza Eslaminia, Kuan-Chieh Lu, Klara Nahrstedt +1
Ultrasonic metal welding (UMW) is widely used in industrial applications but is sensitive to tool wear, surface contamination, and material variability, which can lead to unexpecte…
Adaptive few-shot learning for robust part quality classification in two-photon lithography
Sixian Jia, Ruo-Syuan Mei, Chenhui Shao
Two-photon lithography (TPL) is an advanced additive manufacturing (AM) technique for fabricating high-precision micro-structures. While computer vision (CV) is proofed for automat…
Near-Field Perception for Safety Enhancement of Autonomous Mobile Robots in Manufacturing Environments
Li-Wei Shih, Ruo-Syuan Mei, Jesse Heidrich +6
Near-field perception is essential for the safe operation of autonomous mobile robots (AMRs) in manufacturing environments. Conventional ranging sensors such as light detection and…