The surface defects of printed circuit boards (PCBs) generated during the manufacturing
process have an adverse effect on product quality, which further directly affects the stability …

Brains are the control center of the nervous system in human bodies, and brain tumor is one
of the most deadly diseases. Currently, magnetic resonance imaging (MRI) is the most …

Object detection is a basic vision task that accompanies people's daily lives all the time. The
development of object detection technology has experienced an evolution from traditional …

Defect recognition of flat metals is paramount for ensuring quality control during the
production process. However, the diverse origins of metal surface damage, ranging from …

In order to solve the problem of difficult deployment of existing deep learning-based defect
detection models in terminal equipment with limited computational capacity, a lightweight …

Graph convolutional networks (GCNs), with their powerful ability to model non-Euclidean
graph data, have shown advantages in learning representations of brain networks …

As semiconductor chip manufacturing technology advances, chip structures are becoming
more complex, leading to an increased likelihood of void defects in the solder layer during …

Ceramic substrates serve as the foundational material for numerous electronic devices, and
their surface quality directly affects performance and longevity. Therefore, surface defect …

Deep learning-based methods demonstrate acceptable performance on few-sample surface
defect recognition, which is a pivotal instrument for quality control in intelligent …

In the traditional manufacturing industry, the safe operation of storage and retrieval (S/R)
machines is vital for efficient automated warehouse management. Recently, deep learning …