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1 Ergebnisse
1
Noise-Aware Uncertainty Quantification of MLGNR Interconnec..:
, In:
2023 IEEE Electrical Design of Advanced Packaging and Systems (EDAPS)
,
Jakhar, Asha Kumari
;
Guglani, Surila
;
Dasgupta, Avirup
. - p. 1-3 , 2023
Link:
https://doi.org/10.1109/EDAPS58880.2023.10468166
RT T1 <cTitle>2023 IEEE Electrical Design of Advanced Packaging and Systems (EDAPS)</cTitle>: T1 <Title>Noise-Aware Uncertainty Quantification of MLGNR Interconnects using Fast Trained Artificial Neural Networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10468166&Exemplar=1&LAN=DE A1 Jakhar, Asha Kumari A1 Guglani, Surila A1 Dasgupta, Avirup A1 Roy, Sourajeet YR 2023 SN 2151-1233 K1 Training K1 Knowledge engineering K1 Uncertainty K1 Power supplies K1 Graphene K1 Transfer learning K1 Artificial neural networks K1 Artificial neural networks (ANNs) K1 ground bounce K1 multilayer graphene nanoribbons (MLGNRs) K1 on-chip interconnects K1 power supply noise K1 uncertainty quantification SP 1 OP 3 LK http://dx.doi.org/https://doi.org/10.1109/EDAPS58880.2023.10468166 DO https://doi.org/10.1109/EDAPS58880.2023.10468166 SF ELIB - SuUB Bremen
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