Automated fiber placement (AFP) process includes a variety of energy forms and multi-scale effects. This contribution proposes a novel multi-scale low-entropy method aiming at optimizing processing parameters in an AFP process, where multi-scale effect, energy consumption, energy utilization efficiency and mechanical properties of micro-system could be taken into account synthetically. Taking a...

Glass plays a vital role in several fields, making its accurate detection crucial. Proper prevents misjudgments, reduces noise from reflections, and ensures optimal performance other computer vision tasks. However, the prevalent usage of glass daily applications poses unique challenges for vision. This study introduces novel convolutional attention segmentation network (CAGNet) predicated on tr...

Due to the variable working environment of bearings, collected data often follow different probability distributions. It is hard directly use trained models identify bearing fault with operating conditions. In addition, it a high cost label samples for every work condition. To solve these problems, multi-scale adversarial subdomain adaptation diagnosis method proposed, which based on Continuous...