Computing is a critical driving force in the development of human civilization. In recent years,
we have witnessed the emergence of intelligent computing, a new computing paradigm that …

As one of the most promising applications in future Internet of Things, Internet of Vehicles
(IoV) has been acknowledged as a fundamental technology for develo** the Intelligent …

The context of this study examines the requirements of Future Intelligent Networks (FIN),
solutions, and current research directions through a survey technique. The background of …

Federated learning (FL) as a new decentralized learning/computing technique has potential
advantages (eg, accelerating computation task processing and protecting user privacy) for …

The traditional methods for producing coatings and paints, which are used in many
applications like offshore constructions, architecture, ballistic applications, etc., require a dire …

Machine learning has found many applications in network contexts. These include solving
optimisation problems and managing network operations. Conversely, networks are …

Deep Reinforcement Learning (DRL) techniques have gained substantial attention in recent
years for future wireless networks. They can overcome the ever-increasing challenges of …

It is possible to significantly improve the accuracy and reliability of solar power forecasts
through the use of computer vision and machine learning techniques. This offers substantial …

Machine learning has found many applications in network contexts. These include solving
optimisation problems and managing network operations. Conversely, networks are …