Machine learning application to space particle discrimination from multiple-cell upsets in a memory device - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier
Poster De Conférence Année : 2022

Machine learning application to space particle discrimination from multiple-cell upsets in a memory device

Résumé

Machine learning algorithms are set-up to enable particle detection in the mixed-field space environment starting from the MCUs collected in an SRAM during ground irradiations with protons and ions.
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Dates et versions

lirmm-03837246 , version 1 (02-11-2022)

Identifiants

  • HAL Id : lirmm-03837246 , version 1

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Andrea Coronetti, Lucas Matana Luza, Sanaa Barik, Alexandre Bosser, Ruben Garcia Alia, et al.. Machine learning application to space particle discrimination from multiple-cell upsets in a memory device. RADECS 2022 - European Conference on Radiation and Its Effects on Components and Systems, Oct 2022, Venice, Italy. , 2022. ⟨lirmm-03837246⟩
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