Human-centric communication metaverse relies on the convergent integration of multiple
existing technologies such as 5G and beyond networks, virtual reality, augmented reality …

In recent years, deep reinforcement learning (DRL) has garnered substantial attention in the
context of enhancing resilience in power and energy systems. Resilience, characterized by …

Driven by the demand of time-sensitive and data-intensive applications, edge computing
has attracted wide attention as one of the cornerstones of modern service architectures. An …

With the rapid development of the Internet of Things (IoT) technology, e-healthcare has
received extensive attention because it is able to provide real-time health status feedback for …

Edge-cloud computing is an emerging approach in which tasks are offloaded from mobile
devices to edge or cloud servers. However, Task offloading may result in increased energy …

In this paper, we propose a blockchain-based crowdsourcing framework leveraging Digital
Twins (DTs) and dynamic Non-Fungible Tokens (NFTs) for a transparent last-mile delivery …

Mobile Internet services are developing rapidly for several applications based on
computational ability such as augmented/virtual reality, vehicular networks, etc. The mobile …

Despite their high risk, cryptocurrencies have gained popularity as viable trading options.
Cryptocurrencies are digital assets that experience significant fluctuations in a market …

Abstract Deep Reinforcement Learning (DRL) is one powerful tool for varied control
automation problems. Performances of DRL highly depend on the accuracy of value …

Smart vehicles have a rising demand for computation resources, and recently vehicular
edge computing has been recognized as an effective solution. Edge servers deployed in …