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Giampaolo Cuozzo

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.NI3
ORCID 0000-0001-5954-8343
same name
  • Giampaolo Cuozzo — 2 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedAn End-To-End Analysis of Deep Learning-Based Remaining Useful Life Algorithms for Satefy-Critical 5G-Enabled IIoT Networks

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.NI2025

Bridging Research and Standardization: Innovations and Methodology for 6G Standard Contributions

Francesca Conserva, Fabio Busacca, Corrado Puligheddu +4

The transition towards 6G presents unique challenges and opportunities in mobile networks design and standardization. Addressing these challenges requires a robust methodology for…

cs.NI2025

Next Generation LoRaWAN: Integrating Multi-Hop Communications at 2.4 GHz

Riccardo Marini, Giampaolo Cuozzo

The Internet of Things (IoT) revolution demands scalable, energy-efficient communication protocols supporting widespread device deployments. The LoRa technology, coupled with the L…

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.