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researcher

Enrico Buracchini

1 paper here

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.NI1

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 1 of their papers we have counts for

collaborators

1 paper

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.