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An end-to-end automatic methodology to accelerate the accuracy evaluation of deep neural networks under hardware transient faults

Crossref DOI link: https://doi.org/10.1631/FITEE.2400547

Published Online: 2025-08-01

Published Print: 2025-07

Update policy: https://doi.org/10.1007/springer_crossmark_policy

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