The increasing diffusion of mobile devices has dramatically changed the network traffic
landscape, with Traffic Classification (TC) surging into a fundamental role while facing new …

In recent years, artificial intelligence (AI) techniques have been increasingly adopted to
tackle networking problems. Although AI algorithms can deliver high-quality solutions, most …

Purpose The exponential growth of artificial intelligence (AI) technologies, coupled with
advanced algorithms and increased computational capacity, has facilitated their widespread …

Introduction People are today increasingly relying on health information they find online to
make decisions that may impact both their physical and mental wellbeing. Therefore, there is …

Complex machine learning (ML) algorithms consistently outperform traditional ML models,
yielding significantly improved results. Furthermore, these complex system uses large …

The combination of 5G with emerging technologies such as artificial intelligence (AI), the
Internet of things (IoT), cloud computing, and blockchain is being referred to as intelligent …

Mobile networks are adopting disaggregation and modularisation to support flexibility.
However, large modular networks with a wide range of heterogeneous components have …

A main challenge of using 5G network slices is to meet all the quality of service requirements
of the slices (which are agreed with the customer in a service level agreement (SLA)) …

Technical communicators have long held the assumption that “technology is a system of
relations with fellow humans”(Barker, 2019). We are user advocates, well accustomed to …

Artificial Intelligence (AI) has shown the potential to improve the quality of care for patients.
However, barriers are preventing its adoption, and despite its potential, the integration of AI …