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1 Ergebnisse
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Fatigue State Detection for Tired Persons in Presence of Dr..:
Riad Alharbey
;
Mohamed M. Dessouky
;
Ahmed Sedik
..
https://ieeexplore.ieee.org/document/9802993/. , 2022
Link:
https://doi.org/10.1109/ACCESS.2022.3185251
RT Journal T1
Fatigue State Detection for Tired Persons in Presence of Driving Periods
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:67cbb26782904f2783bcc24a5c304f05&Exemplar=1&LAN=DE A1 Riad Alharbey A1 Mohamed M. Dessouky A1 Ahmed Sedik A1 Ali I. Siam A1 Mohamed A. Elaskily PB IEEE YR 2022 K1 EEG signals K1 fatigue detection systems K1 video streaming K1 support vector machine K1 convolutional neural network K1 testing time K1 Electrical engineering. Electronics. Nuclear engineering K1 TK1-9971 JF https://ieeexplore.ieee.org/document/9802993/ LK http://dx.doi.org/https://doi.org/10.1109/ACCESS.2022.3185251 DO https://doi.org/10.1109/ACCESS.2022.3185251 SF ELIB - SuUB Bremen
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