Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI
refers to the practice of doing AI computations near the users at the network's edge, instead …

The Augmented Reality (AR) technology enhances the human perception of the world by
combining the real environment with the virtual space. With the explosive growth of powerful …

The Internet of Things (IoT) is impacting the world's connectivity landscape. More and more
IoT devices are connected, bringing many benefits to our daily lives. However, the influx of …

Edge Computing (EC) is a new architecture that extends Cloud Computing (CC) services
closer to data sources. EC combined with Deep Learning (DL) is a promising technology …

The huge amount of data generated by the Internet of Things (IoT) devices needs the
computational power and storage capacity provided by cloud, edge, and fog computing …

In recent years, mobile devices are equipped with increasingly advanced sensing and
computing capabilities. Coupled with advancements in Deep Learning (DL), this opens up …

A High Altitude Platform Station (HAPS) is a network node that operates in the stratosphere
at an of altitude around 20 km and is instrumental for providing communication services …

Internet of Things (IoT) computing offloading is a challenging issue, especially in remote
areas where common edge/cloud infrastructure is unavailable. In this paper, we present a …

Mobile edge computing (MEC) is an emergent architecture where cloud computing services
are extended to the edge of networks leveraging mobile base stations. As a promising edge …

Fog computing is an emerging paradigm that extends computation, communication, and
storage facilities toward the edge of a network. Compared to traditional cloud computing, fog …