Full leverage of the huge volume of data generated on a large number of user devices for providing intelligent services in the 6G network calls for Ubiquitous Intelligence (UI). A key to …
Machine learning is widely used to solve networking challenges, ranging from traffic classification and anomaly detection to network configuration. However, machine learning …
The emergence of the IoT, cloud systems, data centers, and 5G networks is increasing the demand for a rapid development of new applications and protocols at all levels of the …
The demand for machine learning (ML) has increased significantly in recent decades, enabling several applications, such as speech recognition, computer vision, and …
The increasing performance requirements of today's Internet applications demand a reliable mechanism to transfer data. Many applications rely on the Transmission Control Protocol …
AG Mariño, F Fons, JMM Arostegui - IEEE access, 2022 - ieeexplore.ieee.org
The automotive industry is undergoing a deep revolution. With the race towards autonomous driving, the amount of technologies, sensors and actuators that need to be integrated in the …
Software Defined Networking (SDN) has been a prominent technology in the last decade that increases networking programmability. The SDN philosophy decouples the application …
This paper presents the potentials and challenges of programmable packet-optical nodes encompassing coherent pluggable modules applied in the context of optical metro networks …
Y Gao, Z Wang - Mobile Information Systems, 2021 - Wiley Online Library
Network attacks show a trend of increased attack intensity, enhanced diversity, and more concealed attack methods, which put forward higher requirements for the performance of …