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1 Ergebnisse
1
Reduced complexity on micro-controller learning of ECG anom..:
, In:
2022 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT)
,
Pau, Danilo Pietro
;
Abdennadher, Norhen
- p. 143-148 , 2022
Link:
https://doi.org/10.1109/MetroInd4.0IoT54413.2022.98316..
RT T1 <cTitle>2022 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT)</cTitle>: T1 <Title>Reduced complexity on micro-controller learning of ECG anomalies</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9831621&Exemplar=1&LAN=DE A1 Pau, Danilo Pietro A1 Abdennadher, Norhen YR 2022 K1 Performance evaluation K1 Support vector machines K1 Computational modeling K1 Pipelines K1 Time series analysis K1 Electrocardiography K1 Sensor systems K1 ECG K1 time series K1 reservoir computing K1 anomaly detection K1 principal component analysis K1 one class support vector machine K1 sparsity K1 bi-directionality K1 low-power device SP 143 OP 148 LK http://dx.doi.org/https://doi.org/10.1109/MetroInd4.0IoT54413.2022.9831621 DO https://doi.org/10.1109/MetroInd4.0IoT54413.2022.9831621 SF ELIB - SuUB Bremen
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