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Onboard Machine Learning for High-Energy Observatories for Spacecraft Autonomy and Ground Segment Operations †.

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Title: Onboard Machine Learning for High-Energy Observatories for Spacecraft Autonomy and Ground Segment Operations †.
Authors: Bulgarelli, Andrea1, andrea.bulgarelli@inaf.it, Castaldini, Luca1,2, Parmiggiani, Nicolò1,3, Di Piano, Ambra1,4, Falco, Riccardo1, Aboudan, Alessio2, Amati, Lorenzo1,3, Argan, Andrea3,4, Calabretto, Paolo1, Dadina, Mauro1, De Rosa, Adriano1, Fioretti, Valentina1, Labanti, Claudio1, Mattioli, Giulia1, Panebianco, Gabriele1, Pittori, Carlotta4, Rizzo, Alessandro1, Srivastava, Smiriti1, Virgilli, Enrico1
Source: Particles (2571-712X); Dec2025, Vol. 8 Issue 4, p102, 8p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 190542302
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Onboard Machine Learning for High-Energy Observatories for Spacecraft Autonomy and Ground Segment Operations †.
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  Data: <searchLink fieldCode="JN" term="%22Particles+%282571-712X%29%22">Particles (2571-712X)</searchLink>; Dec2025, Vol. 8 Issue 4, p102, 8p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190542302
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              Text: Dec2025
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