Deploying high-performance vision transformer (ViT) models on ubiquitous Internet of
Things (IoT) devices to provide high-quality vision services will revolutionize the way we live …

Deep neural networks have consistently represented the state of the art in most computer
vision problems. In these scenarios, larger and more complex models have demonstrated …

Acne seriously affects people's daily life. Acne severity level grading plays a decisive role in
the cure. However, the acne criterion is not unified in the medical field. Most of the current …

Graph convolutional network (GCN)‐based recommendation has recently attracted
significant attention in the recommender system community. Although current studies …

For remote sensing image scene classification tasks, the classification accuracy of the small-
scale deep neural network tends to be low and fails to achieve accuracy in real-world …

Bearing, as a vital component in electric powertrains, is increasingly used globally, such as
in electric vehicle (EV). Their damages and faults may bring huge cost loss to the industry …

In the era heavily influenced by Internet of Things (IoT), prioritizing strong security and the
protection of user privacy is of utmost importance. This comprehensive review paper …

Model compression is crucial for the deployment of neural networks on devices with limited
computational and memory resources. Many different methods show comparable accuracy …

In federated learning (FL), multiple parties collaborate to train a global model by aggregating
their local models while keeping private training sets isolated. One problem hindering …

Structurally and functionally, the human brain's visual cortex inspires convolutional neural
networks (CNN). The visual cortex consists of different connected cortical regions. When a …