Machine vision, an interdisciplinary field that aims to replicate human visual perception in
computers, has experienced rapid progress and significant contributions. This paper traces …

This paper addresses the escalating demand for aquaculture products by proposing an
edge-cloud solution for precision aquaculture. Despite technological advancements …

The traditional synchronous federated learning framework ensures global model
consistency and accuracy. However, it is limited by the computational power differences …

The rapid proliferation of Unmanned Aircraft Systems (UAS) introduces new threats to
national security. UAS technologies have dramatically revolutionized legitimate business …

In modern organisations, data is often spread across different sites, posing challenges for
effective analysis. Transferring data to a centralised server may jeopardise privacy and leak …

With the rapid development of in-vehicle communication technology, the Internet of Vehicles
(IoV) is gradually becoming a core component of next-generation transportation networks …

Federated learning (FL) enables collaborative model training from decentralized data while
preserving privacy. However, biases manifest due to sample selection, population drift …

In multi‐access edge computing (MEC), computational task offloading of mobile terminals
(MT) is expected to provide the green applications with the restriction of energy consumption …

Marine communication refers to the communication conducted between land and ocean or
within the ocean. It constitutes a crucial component in achieving global network coverage …

In the last few years, the healthcare industry has seen significant advances in medical image
analysis, mainly driven by the substantial progress of Deep Learning (DL). Convolutional …