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 …

This special issue explores how emerging machine learning (ML) and artificial intelligence
(AI) algorithms can help computer networks become smarter. The final goal is to disseminate …

The popularity of Artificial Intelligence (AI)–and of Machine Learning (ML) as an approach to
AI, has dramatically increased in the last few years, due to its out-standing performance in …

In the era of Autonomous Networks (ANs), artificial intelligence (AI) plays a crucial role for
their development in cellular networks, especially in 5G-and-beyond networks. The …

Communication networks are constantly increasing in size and complexity. Hence, the
traditional rule-based algorithms of these networks will probably not operate at their most …

Communication networks are expanding rapidly and becoming increasingly complex. As a
consequence, the conventional rule-based algorithms or protocols may no longer perform at …

Recently, machine learning has been used in every possible field to leverage its amazing
power. For a long time, the networking and distributed computing system is the key …

These days, Internet coverage and technologies are growing rapidly, hence, it makes the
network more complex and heterogeneous. Software defined network (SDN) revolutionized …

This Special Issue (SI) brings together academic and industrial researchers to discuss
technical challenges and recent results related to intelligent networks in order to meet the …

Abstract Machine Learning (ML) has been enjoying an unprecedented surge in applications
that solve problems and enable automation in diverse domains. Primarily, this is due to the …