The Internet of Things (IoT) has created a ubiquitously connected world powered by a
multitude of wired and wireless sensors generating a variety of heterogeneous data over …

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 Internet of Things (IoT) has been deeply penetrated into a wide range of important and
critical sectors, including smart city, water, transportation, manufacturing, and smart factory …

Recently, artificial intelligence (AI) is undergoing a sustained success renaissance as it can
substantially improve networks' cognitive performance and intelligence, thereby contributing …

In the Internet-of-Things (IoT) era, billions of sensors and devices collect and process data
from the environment, transmit them to cloud centers, and receive feedback via the Internet …

The awareness of edge computing is attaining eminence and is largely acknowledged with
the rise of the Internet of Things (IoT). Edge-enabled solutions offer efficient computing and …

The Internet of Things (IoT) now permeates our daily lives, providing important measurement
and collection tools to inform our every decision. Millions of sensors and devices are …

Recent years have witnessed the widespread popularity of Internet of things (IoT). By
providing sufficient data for model training and inference, IoT has promoted the development …

Along with the rapid developments in communication technologies and the surge in the use
of mobile devices, a brand-new computation paradigm, edge computing, is surging in …

Given its advantages in low latency, fast response, context-aware services, mobility, and
privacy preservation, edge computing has emerged as the key support for intelligent …