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1
Understanding Uncertainty of Edge Computing: New Principle ..:
, In:
2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)
,
Seo, Sejin
;
Ko, Seung-Woo
;
Kook, Sujin
. - p. 1-7 , 2022
Link:
https://doi.org/10.1109/VTC2022-Spring54318.2022.98604..
RT T1 <cTitle>2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)</cTitle>: T1 <Title>Understanding Uncertainty of Edge Computing: New Principle and Design Approach</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9860481&Exemplar=1&LAN=DE A1 Seo, Sejin A1 Ko, Seung-Woo A1 Kook, Sujin A1 Kim, Seong-Lyun YR 2022 SN 2577-2465 K1 Training K1 Deep learning K1 Vehicular and wireless technologies K1 Uncertainty K1 Computational modeling K1 Design methodology K1 Neural networks SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/VTC2022-Spring54318.2022.9860481 DO https://doi.org/10.1109/VTC2022-Spring54318.2022.9860481 SF ELIB - SuUB Bremen
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