Industrial Internet of Things (IIoT) applications can greatly benefit from leveraging edge
computing. For instance, applications relying on deep neural network (DNN) models can be …

Reliable artificial intelligence systems not only propose a challenge on providing intelligent
services with high quality for customers, but also require customers' privacy to be protected …

Collaborative Intelligence (CI) has emerged as a promising framework for deploying Artificial
Intelligence (AI) models on resource-constrained edge devices. In CI, the AI model is …

Task offloading research in Mobile edge computing (MEC) has experienced significant
growth over the past years. Users commonly utilize MEC servers for task offloading in order …

Vision Transformers (ViTs) have outperformed traditional Convolutional Neural Network
architectures and achieved state-of-the-art results in various computer vision tasks. Since …

This paper focuses on the development of an improved Generative Adversarial Network
(GAN) specifically designed for generating color portraits from sketches. The construction of …

The implementation of smart manufacturing, which utilises advanced digital technologies to
enhance the agility and productivity of the traditional manufacturing sector, has the potential …

Video coding, a process of compressing and decompressing digital video content, has
traditionally been optimized for human visual systems by reducing its size while maintaining …

This study proposes a cost-effective distributed inference framework for real-time object
detection in edge environments. Due to the resource constraints of edge devices, Col …

The demand for real-time video processing from edge devices including surveillance
cameras and smartphones has been increasing. While edge processing power is improving …