◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

A. Nascetti

3 papers here

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

author position
  • middle author3

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

fields
  • physics.ins-det2
  • eess.SP1
ORCID 0000-0001-8138-7494
same name
  • A. Nascetti — 4 papers, h 25

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

activity
20232025
most citedEfficient FPGA-accelerated Convolutional Neural Networks for Cloud Detection on CubeSats

10 citations · 10 across the 3 of their papers we have counts for

collaborators

3 papers

eess.SP2025★ 10 cited

Efficient FPGA-accelerated Convolutional Neural Networks for Cloud Detection on CubeSats

Angela Cratere, M. Salim Farissi, Andrea Carbone +5

We present the implementation of four FPGA-accelerated convolutional neural network (CNN) models for onboard cloud detection in resource-constrained CubeSat missions, leveraging Xi…

physics.ins-det2024

Proton irradiation on Hydrogenated Amorphous Silicon flexible devices

M. Menichelli, S. Aziz, A. Bashiri +58

Radiation damage tests in hydrogenated amorphous silicon (a-Si:H) flexible flux and dose-measuring devices have been performed with a 3 MeV proton beam, to evaluate combined displa…

physics.ins-det2023

Characterization of hydrogenated amorphous silicon sensors on polyimide flexible substrate

M. Menichelli, L. Antognini, S. Aziz +50

Hydrogenated amorphous silicon (a-Si:H) is a material having an intrinsically high radiation hardness that can be deposited on flexible substrates like Polyimide. For these propert…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.