New technologies bring opportunities to deploy AI and machine learning to the edge of the network, allowing edge devices to train simple models that can then be deployed in practice …
Coronavirus (COVID-19) has caused a global disaster with adverse effects on global health and the economy. Early detection of COVID-19 symptoms will help to reduce the severity of …
The Internet of Underwater Things (IoUT) has become widely popular in the past decade as it has huge prospects for the economy due to its applicability in various use cases such as …
Detecting anomalies, intrusions, and security threats in the network (including Internet of Things) traffic necessitates the processing of large volumes of sensitive data, which raises …
M Asad, S Shaukat, D Hu, Z Wang, E Javanmardi… - Sensors, 2023 - mdpi.com
This paper explores the potential for communication-efficient federated learning (FL) in modern distributed systems. FL is an emerging distributed machine learning technique that …
Featured Application In the future, the application of this study is very feasible and very close to being implemented for the auto-sorting system for various fish or other objects, in the fish …
Connected and autonomous vehicles (CAVs) have witnessed significant attention from industries, and academia for research and developments towards the on-road realisation of …
In this report, we explore the key challenges and threats facing network security in wired and wireless environments, as well as the technologies and best practices for addressing these …
In the past few years, privacy concerns have grown, making the financial models of businesses more vulnerable to attack. In many cases, it is hard to emphasize the importance …