As the global internet traffic continues to grow exponentially, there is a growing need for
cutting-edge switching technologies to manage this growth. One of the most recent …

The potential of machine learning (ML) and federated learning (FL) to solve computational
modelling issues in communication systems and networks has received a lot of attention in …

The accuracy of rainfall prediction in Nigeria is significantly enhanced through the
application of machine learning models. This study employs a comprehensive approach that …

This study demonstrates the utilization of Machine Learning (ML) for network slice
prediction, enabling the optimization of resources for diverse network slices. Traditional …

The signals and their effects on human health have been under investigation across several
decades. The human health is suspected to be affected short and long range signals. In this …

Recent studies have focused heavily on the possibilities of federated learning (FL) and
machine learning (ML) to address computational modelling problems in communication …