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1 Ergebnisse
1
Tree Structure Network: A Learning-Based Deep Network for C..:
, In:
2019 Joint International Symposium on Electromagnetic Compatibility, Sapporo and Asia-Pacific International Symposium on Electromagnetic Compatibility (EMC Sapporo/APEMC)
,
Fang, Hao-Yu
;
Yuan, Shih-Yi
;
Lin, Po-Yen
. - p. 246-249 , 2019
Link:
https://doi.org/10.23919/EMCTokyo.2019.8893929
RT T1 <cTitle>2019 Joint International Symposium on Electromagnetic Compatibility, Sapporo and Asia-Pacific International Symposium on Electromagnetic Compatibility (EMC Sapporo/APEMC)</cTitle>: T1 <Title>Tree Structure Network: A Learning-Based Deep Network for Classification of CPU Instruction through EM Signal</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8893929&Exemplar=1&LAN=DE A1 Fang, Hao-Yu A1 Yuan, Shih-Yi A1 Lin, Po-Yen A1 Kuo, Sy-Yen YR 2019 K1 Training K1 Learning systems K1 Pipelines K1 Clocks K1 Mel frequency cepstral coefficient K1 Spectrogram K1 Electromagnetic compatibility K1 Reverse engineering K1 Instruction EM signal classification K1 Convolutional neural network K1 Information leakage SP 246 OP 249 LK http://dx.doi.org/https://doi.org/10.23919/EMCTokyo.2019.8893929 DO https://doi.org/10.23919/EMCTokyo.2019.8893929 SF ELIB - SuUB Bremen
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