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1 Ergebnisse
1
Potential for Using Deep Learning for Digital-Twin System V..:
, In:
2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC)
,
Sherry, Lance
;
Ansari, Shamshad
;
Baldo, James
... - p. 1-6 , 2022
Link:
https://doi.org/10.1109/DASC55683.2022.9925815
RT T1
2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC)
: T1
Potential for Using Deep Learning for Digital-Twin System Validation Testing
UL https://suche.suub.uni-bremen.de/peid=ieee-9925815&Exemplar=1&LAN=DE A1 Sherry, Lance A1 Ansari, Shamshad A1 Baldo, James A1 Berlin, Brett A1 Shortle, John A1 Raz, Ali YR 2022 SN 2155-7209 K1 Deep learning K1 Operating systems K1 Atmospheric modeling K1 Neural networks K1 Behavioral sciences K1 Timing K1 Complexity theory K1 Deep Learning Neural Networks K1 Validation Testing K1 Emergent behavior K1 agent-based modeling. Digital-twin SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/DASC55683.2022.9925815 DO https://doi.org/10.1109/DASC55683.2022.9925815 SF ELIB - SuUB Bremen
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