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 rapid emergence of low-power embedded devices and modern machine learning (ML)
algorithms has created a new Internet of Things (IoT) era where lightweight ML frameworks …

In this era of the Internet of Everything (IoE), edge computing has emerged as the critical
enabling technology to solve a series of issues caused by an increasing amount of …

The energy consumption of data centers accounts for approximately 1% of that of the world,
the average power usage effectiveness is in the range of 1.4–1.6, and the associated carbon …

Autonomous driving services depends on active sensing from modules such as camera,
LiDAR, radar, and communication units. Traditionally, these modules process the sensed …

Purpose The purpose of this study is to examine how the implementation of edge computing
can enhance the progress of the circular economy within supply chains and to address the …

In recent years, the landscape of computing paradigms has witnessed a gradual yet
remarkable shift from monolithic computing to distributed and decentralized paradigms such …

The burgeoning growth of the Internet of Things (IoT) has prompted a paradigm shift in
computing architectures, leading to the emergence and rapid evolution of edge computing …

Cloud computing has emerged as a transformative force, revolutionizing the landscape for
accounting firms. This comprehensive review delves into the profound impact of cloud …

In the era of fifth-generation (5G)-enabled vehicular edge computing (VEC), efficient data
offloading strategies are essential. The complexities inherent in this environment, such as …