Modern interactive and data-intensive applications must operate under demanding time
constraints, prompting a shift toward the adoption of specialized software and hardware …

The deployment flexibility and maneuverability of unmanned aerial vehicles (UAVs)
increased their adoption in various applications, such as wildfire tracking, border monitoring …

Deep learning shows immense potential for strengthening the cyber-resilience of renewable
energy supply chains. However, research gaps in comprehensive benchmarks, real-world …

In the 5G/B5G network paradigms, intelligent medical devices known as the Internet of
Medical Things (IoMT) have been used in the healthcare industry to monitor remote users' …

The vision of the upcoming 6G technologies, characterized by ultra-dense networks, low
latency, and fast data rate, is to support pervasive artificial intelligence (PAI) using zero …

5G-and-beyond networks are designed to fulfill the communication and computation
requirements of various industries, which requires not only transporting the data, but also …

In recent years, ubiquitous semantic Metaverse has been studied to revolutionize immersive
cyber-virtual experiences for augmented reality (AR) and virtual reality (VR) users, which …

The evolution of the Internet of Things (IoT) has been driving the explosive growth of deep
neural network (DNN)-based applications and processing demands. Hence, edge …

The widespread adoption of the fifth generation (5G) of cellular networks has brought new
opportunities for localization-based services. High-precision positioning use cases and …

Nowadays, unmanned aerial vehicle (UAV) swarm supported by mobile edge computing is
attracting more and more attention, such as smart agriculture, smart transportation, smart …