Sfoglia per Correlatore CASSANO, LUCA MARIA
Mostrati risultati da 1 a 4 di 4
A hybrid fault injection framework for image processing applications in FPGA
2018/2019 MAZZEO, ANDREA
A methodology for error simulation in convolutional neural networks executed on GPU
2019/2020 TOSCHI, ALESSANDRO
MSFAT: a novel DL methodology for Hardening Convolutional Neural Networks with negligible overhead
2022/2023 Dean, Nicola
A novel approach for error modeling in a cross-layer reliability analysis of convolutional neural networks
2022/2023 Passarello, Dario
| Fulltext | Data | Tipo | Titolo | Autore (i) |
|---|---|---|---|---|
| 2019-12-18 | Tesi di laurea Magistrale | A hybrid fault injection framework for image processing applications in FPGA | MAZZEO, ANDREA | |
| 2020-04-29 | Tesi di laurea Magistrale | A methodology for error simulation in convolutional neural networks executed on GPU | TOSCHI, ALESSANDRO | |
| 2023-12-19 | Tesi di laurea Magistrale | MSFAT: a novel DL methodology for Hardening Convolutional Neural Networks with negligible overhead | Dean, Nicola; CALLIGARO, NICOLA | |
| 2023-10-05 | Tesi di laurea Magistrale | A novel approach for error modeling in a cross-layer reliability analysis of convolutional neural networks | Passarello, Dario |
Mostrati risultati da 1 a 4 di 4
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