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1 Ergebnisse
1
Distilled probability regression model for heat reliability..:
, In:
12th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2022)
,
Li, Q.
;
Zheng, X.
;
Zhou, W.
... - p. None , 2022
Link:
https://doi.org/10.1049/icp.2022.2886
RT T1
12th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2022)
: T1
Distilled probability regression model for heat reliability analysis
UL https://suche.suub.uni-bremen.de/peid=ieee-10110566&Exemplar=1&LAN=DE A1 Li, Q. A1 Zheng, X. A1 Zhou, W. A1 Sun, J. A1 Li, Y. A1 Yao, W. YR 2022 K1 aerospace computing K1 artificial satellites K1 avionics K1 deep learning (artificial intelligence) K1 heat K1 image processing K1 probability K1 regression analysis K1 reliability K1 circuit board K1 deep learning-based surrogate model K1 distilled model K1 distilled probability regression model K1 ensemble K1 heat layout K1 heat reliability analysis K1 image-to-image probabilistic regression task K1 performance evaluation K1 resource consumption K1 satellite K1 temperature field K1 thermal environment SP None LK http://dx.doi.org/https://doi.org/10.1049/icp.2022.2886 DO https://doi.org/10.1049/icp.2022.2886 SF ELIB - SuUB Bremen
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