Abstract—Beyond fifth-generation (B5G) networks (namely 6G) aim to support high data rates, low-latency applications, and massive machine communications. Integrating Artificial Intelligence (AI) and Machine Learning (ML) models are essential for addressing the network’s increasing complexity and dynamic nature. However, dynamic…
ABSTRACT Trials and deployments of sixth Generation (6G) wireless networks, delivering extreme capacity, reliability, and efficiency, are expected as early as 2030. Attempts from both industry and academia are trying to define the next generation network infrastructure. 6G will set…
Abstract—Marine debris is considered as a global problem and a major threat to the ecosystem and its inhabitants. To address this issue, it is important to identify these densely polluted areas inside the sea and most importantly at the seabed.…
Abstract—The sixth generation (6G) of mobile communications, expected to be deployed around the year 2030, is predicted to be characterized by ubiquitous connected intelligence. With Artificial Intelligence (AI) operations being deployed in every aspect of future network infrastructure, network security…
Abstract—The growing heterogeneity and decentralization in the modern computing paradigm of edge-cloud continuum introduces new constraints on storage systems, such as storage type, associated processors, privacy, scarce resources, compliance, GDPR and geographical restrictions. While existing distributed data and object stores…
As a part of the CLEVER project activities, Abdelghani Bourenane a research fellow atSant’Anna School of Advanced Studies, has participated in the ADTC & edaWorkshop24which place on April 9th and 10th in Dresden Germany. Discussions spanned EDA tools, open-source chip…
