This century has been a major avenue for revolutionary changes in technology and industry.
Industries have transitioned towards intelligent automation, relying less on human …

Abstract The Internet of Things (IoT) is a concept that permits the integration of all objects
into an Internet environment. IoT has spawned numerous intelligent applications and …

Telemedicine was introduced on connected IoT-based resource networking infrastructure.
With technological evolution and artificial intelligence, the framework has expanded the …

The sixth generation (6G) represents the next evolution in wireless communication
technology and is currently under research and development. It is expected to deliver faster …

Over the past few years, personalized recommendations have emerged as a fundamental
component of the consumer electronics sector. The rise of decentralized federated learning …

Abstract Artificial intelligence employs Machine Learning (ML) and Deep Learning (DL) to
analyze data. In both, the data is stored centrally. The data involved may be sensitive and …

The autonomous connected ambulance (ACA) has been an unprecedented necessity in the
demand–supply management sector of the healthcare sector. However, the traditional …

Machine learning has been proven to provide good performances on stress detection tasks
using multi-modal sensor data from a smartwatch. Generally, machine learning techniques …

This paper explores the potential for communication-efficient federated learning (FL) in
modern distributed systems. FL is an emerging distributed machine learning technique that …

As data sharing on the Internet of Medical Things (IoMT) become more complicated, the
problems of divergent interests, unregulated policies, privacy and security, and the resource …