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1 Ergebnisse
1
Predicting thermal resistance of solder joints based on Sca..:
, In:
2022 IEEE 9th Electronics System-Integration Technology Conference (ESTC)
,
Zippelius, Andreas
;
Strobl, Tobias
;
Schmid, Maximilian
... - p. 566-575 , 2022
Link:
https://doi.org/10.1109/ESTC55720.2022.9939465
RT T1
2022 IEEE 9th Electronics System-Integration Technology Conference (ESTC)
: T1
Predicting thermal resistance of solder joints based on Scanning Acoustic Microscopy using Artificial Neural Networks
UL https://suche.suub.uni-bremen.de/peid=ieee-9939465&Exemplar=1&LAN=DE A1 Zippelius, Andreas A1 Strobl, Tobias A1 Schmid, Maximilian A1 Hermann, Joseph A1 Hoffmann, Alwin A1 Elger, Gordon YR 2022 K1 Scanning electron microscopy K1 Microscopy K1 Thermal resistance K1 Aging K1 Light emitting diodes K1 Acoustic measurements K1 Acoustics K1 Solder Joints K1 LED K1 non-destructive testing K1 Machine Learning K1 Scanning Acoustic Microscopy (SAM) K1 Transient Thermal Analysis (TTA) K1 Convolutional Neural Network (CNN) SP 566 OP 575 LK http://dx.doi.org/https://doi.org/10.1109/ESTC55720.2022.9939465 DO https://doi.org/10.1109/ESTC55720.2022.9939465 SF ELIB - SuUB Bremen
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