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1 Ergebnisse
1
EchoWrite-SNN: Acoustic Based Air-Written Shape Recognition..:
, In:
2022 IEEE International Symposium on Circuits and Systems (ISCAS)
,
George, Arun M
;
Gigie, Andrew
;
Kumar, A Anil
... - p. 1067-1071 , 2022
Link:
https://doi.org/10.1109/ISCAS48785.2022.9937951
RT T1 <cTitle>2022 IEEE International Symposium on Circuits and Systems (ISCAS)</cTitle>: T1 <Title>EchoWrite-SNN: Acoustic Based Air-Written Shape Recognition Using Spiking Neural Networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9937951&Exemplar=1&LAN=DE A1 George, Arun M A1 Gigie, Andrew A1 Kumar, A Anil A1 Dey, Sounak A1 Pal, Arpan A1 Aditi, K YR 2022 SN 2158-1525 K1 Performance evaluation K1 Ultrasonic imaging K1 Shape K1 Tracking K1 Neuromorphic engineering K1 Neural networks K1 Sonar applications K1 Spiking neural network K1 finger tracking K1 air-writing K1 neuromorphic computing K1 SONAR SP 1067 OP 1071 LK http://dx.doi.org/https://doi.org/10.1109/ISCAS48785.2022.9937951 DO https://doi.org/10.1109/ISCAS48785.2022.9937951 SF ELIB - SuUB Bremen
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