4 citations · 7 across the 7 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.NI2023★ 1 cited
An End-To-End Analysis of Deep Learning-Based Remaining Useful Life Algorithms for Satefy-Critical 5G-Enabled IIoT Networks
Lorenzo Mario Amorosa, Nicolò Longhi, Giampaolo Cuozzo +4
Remaining Useful Life (RUL) prediction is a critical task that aims to estimate the amount of time until a system fails, where the latter is formed by three main components, that i…
cs.NI2023★ 4 cited
Analysis of a contention-based approach over 5G NR for Federated Learning in an Industrial Internet of Things scenario
Giampaolo Cuozzo, Jonas Pettersson, Massimo Condoluci
The growing interest in new applications involving co-located heterogeneous requirements, such as the Industrial Internet of Things (IIoT) paradigm, poses unprecedented challenges…