In this paper, we investigate how to deploy computational intelligence and deep learning
(DL) in edge-enabled industrial IoT networks. In this system, the IoT devices can …

Edge intelligence is emerging as a new interdiscipline to accelerate the convergence of
artificial intelligence (AI) and Internet of Things (IoT). By applying edge computing, edge …

The key to the explosion of the Internet of Things and the ability to collect, analyze, and
provide big data in the cloud is edge computing, which is a new computing paradigm in …

The current exponential advancements in the Internet of Things (IoT) technologies pave a
vast intelligent computing platform by integrating smart objects with sensing, processing and …

The Internet of Things (IoT) has revolutionized innovation to collect and store the information
received from physical objects or sensors. The smart devices are linked to a repository that …

Abstract Internet of Things (IoT) has made small objects and things to be networked and
interconnected, and even connected to the Internet in order to offer advanced control and …

The explosive growth in the number of devices connected to the Internet of Things (IoT) and
the exponential increase in data consumption only reflect how the growth of big data …

Cloud-based IoT architectures are expecting a fast data transfer rate within a limited
bandwidth. But achieving a fast data transfer rate is becoming more difficult gradually, with …

Recent advances in machine learning and deep learning have enabled many existing
applications in smart cities, autonomous systems, and wearable devices. These applications …

In today's internet of things (IoT), a vast amount of data is produced by numerous connected
devices. Previously, the data produced was uploaded to thee cloud for communicating with …