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1 Ergebnisse
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Toward Using Few-Shot Learning for Prediction of Complex In..:
, In:
2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)
,
Khajezade, Mohamad
;
Ramezankhani, Milad
;
Fard, Fatemeh Hendijani
.. - p. 1-7 , 2021
Link:
https://doi.org/10.1109/CCECE53047.2021.9569130
RT T1
2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)
: T1
Toward Using Few-Shot Learning for Prediction of Complex In-Service Defects of Composite Products: A case Study
UL https://suche.suub.uni-bremen.de/peid=ieee-9569130&Exemplar=1&LAN=DE A1 Khajezade, Mohamad A1 Ramezankhani, Milad A1 Fard, Fatemeh Hendijani A1 Shehata, Mohamed S A1 Milani, Abbas YR 2021 SN 2576-7046 K1 Hoses K1 Adaptation models K1 Machine learning algorithms K1 Correlation K1 Neural networks K1 Prototypes K1 Predictive models K1 Few-shot Learning K1 Tabular Data K1 Deep Learning SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/CCECE53047.2021.9569130 DO https://doi.org/10.1109/CCECE53047.2021.9569130 SF ELIB - SuUB Bremen
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