Heavy Ions Testing of an All-Convolutional Neural Network for Image Classification Evolved by Genetic Algorithms and Implemented on SRAM-Based FPGA

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dc.contributor.authorBENEVENUTI, F.
dc.contributor.authorDE OLIVEIRA, A. B.
dc.contributor.authorLOPES, I. C.
dc.contributor.authorKASTENSMIDT, F. L.
dc.contributor.authorADDED, N.
dc.contributor.authorAGUIAR, V. A P.
dc.contributor.authorMEDINA, N.H.
dc.contributor.authorMarcilei Aparecida Guazzelli
dc.contributor.authorOrcidhttps://orcid.org/0000-0001-7110-7241
dc.date.accessioned2022-05-01T06:03:59Z
dc.date.available2022-05-01T06:03:59Z
dc.date.issued2019-09-20
dc.description.abstractThis work investigates the vulnerability of an image classification engine under heavy-ions accelerated irradiation. The engine is based on all-convolutional neural-network trained with the GTSRB traffic sign recognition benchmark and embedded into 28nm SRAM-based FPGA.
dc.identifier.citationBENEVENUTI, F.; DE OLIVEIRA, A. B.; LOPES, I. C.; KASTENSMIDT, F. L.; ADDED, N.; AGUIAR, V. A P.; MEDINA, N.H.; GUAZZELLI, M. A. Heavy Ions Testing of an All-Convolutional Neural Network for Image Classification Evolved by Genetic Algorithms and Implemented on SRAM-Based FPGA. 2019 19th European Conference on Radiation and Its Effects on Components and Systems, RADECS 2019, Sept. 2019.
dc.identifier.doi10.1109/RADECS47380.2019.9745650
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/4485
dc.relation.ispartof2019 19th European Conference on Radiation and Its Effects on Components and Systems, RADECS 2019
dc.rightsAcesso Restrito
dc.subject.otherlanguagedeep learning
dc.subject.otherlanguageneural networks
dc.subject.otherlanguagereliability
dc.subject.otherlanguagesingle-event effects
dc.subject.otherlanguageSRAM-based FPGA
dc.subject.otherlanguagetraffic-sign recognition
dc.titleHeavy Ions Testing of an All-Convolutional Neural Network for Image Classification Evolved by Genetic Algorithms and Implemented on SRAM-Based FPGA
dc.typeArtigo de evento
fei.scopus.citations0
fei.scopus.eid2-s2.0-85128577646
fei.scopus.subjectConvolutional neural network
fei.scopus.subjectDeep learning
fei.scopus.subjectHeavy ion testing
fei.scopus.subjectImages classification
fei.scopus.subjectNeural-networks
fei.scopus.subjectSingle event effects
fei.scopus.subjectSRAM-based FPGA
fei.scopus.subjectTraffic sign recognition
fei.scopus.updated2024-07-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85128577646&origin=inward
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