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1 Ergebnisse
1
Artificial Neural Network Based Post-CTS QoR Report Predict..:
, In:
2022 IEEE International Symposium on Circuits and Systems (ISCAS)
,
Jain, Arpit
;
Das, Pabitra
;
Acharyya, Amit
- p. 682-686 , 2022
Link:
https://doi.org/10.1109/ISCAS48785.2022.9937789
RT T1
2022 IEEE International Symposium on Circuits and Systems (ISCAS)
: T1
Artificial Neural Network Based Post-CTS QoR Report Prediction
UL https://suche.suub.uni-bremen.de/peid=ieee-9937789&Exemplar=1&LAN=DE A1 Jain, Arpit A1 Das, Pabitra A1 Acharyya, Amit YR 2022 SN 2158-1525 K1 Training K1 Mean square error methods K1 Learning (artificial intelligence) K1 Benchmark testing K1 Predictive models K1 Data models K1 Robustness K1 QoR report K1 post-CTS K1 machine learning in EDA SP 682 OP 686 LK http://dx.doi.org/https://doi.org/10.1109/ISCAS48785.2022.9937789 DO https://doi.org/10.1109/ISCAS48785.2022.9937789 SF ELIB - SuUB Bremen
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