A dynamic inference network (DI-Net) for online fabric defect detection in smart manufacturing.

Complementary knowledge augmented multimodal learning method for yarn quality soft sensing.

Unsupervised fabric defects detection based on spatial domain saliency and features clustering.

Brain-Inspired Interpretable Network Pruning for Smart Vision-Based Defect Detection Equipment.

A knowledge augmented image deblurring method with deep learning for in-situ quality detection of yarn production.

MicroCrack-Net: A Deep Neural Network With Outline Profile-Guided Feature Augmentation and Attention-Based Multiscale Fusion for MicroCrack Detection of Tantalum Capacitors.

Forecasting the yield of wafer by using improved genetic algorithm, high dimensional alternating feature selection and SVM with uneven distribution and high-dimensional data.

An Unequal Deep Learning Approach for 3-D Point Cloud Segmentation.

Anomaly detection of power consumption in yarn spinning using transfer learning.

A collaborative architecture of the industrial internet platform for manufacturing systems.