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

The rise in Internet users has brought with it the impending threat of cybercrime as the
Internet of Things (IoT) increases and the introduction of 5G technologies continues to …

The proliferation of wireless communication systems has garnered significant attention,
driven by the exponential growth of interconnected nodes and the emergence of …

Анотація Industry 4.0 relies heavily on artificial-intelligence (AI) and cloud-computing (CC),
both of which have been greatly aided by the 5 th-generation mobile-network (5G). The …

In this survey, a comprehensive study is provided, regarding the use of machine learning
(ML) algorithms for effective resource management in fifth-generation and beyond (5G/B5G) …

Abstract The Internet of Things (IoT) is a new evolution of the Internet, which connects a
variety of things, such as sensors, mobile phones, vehicles, cameras and industrial …

Abstract In-network learning (INL), which is one of the distributed machine learning (ML),
enables both learning and inference over a network by deploying small models representing …

This paper researches modern automated Static evaluation software with Bayesian
Inference for interference mitigation in 5G cloud networks. The automatic static analysis …

Location is the process of estimating the position of a device or user in a wireless network.
Location is critical for many applications and services in 5G and beyond wireless …

As 5G networks continue to evolve and pave the way for future telecom technologies, the
role of Artificial Intelligence (AI) and Machine Learning (ML) in optimizing traffic …