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1 Ergebnisse
1
Exploring EEG Frequency Bands as a Feature for Machine Lear..:
, In:
2023 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)
,
Darojatun, Aulia
;
Hidayatulloh, Papat
;
Rahmawati, Annida
... - p. 430-435 , 2023
Link:
https://doi.org/10.1109/ICRAMET60171.2023.10366672
RT T1 <cTitle>2023 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)</cTitle>: T1 <Title>Exploring EEG Frequency Bands as a Feature for Machine Learning in Drowsiness Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10366672&Exemplar=1&LAN=DE A1 Darojatun, Aulia A1 Hidayatulloh, Papat A1 Rahmawati, Annida A1 Simbolon, Artha Ivonita A1 Sanjaya, Kadek Heri A1 Nadiya, Ulfah YR 2023 SN 2808-0823 K1 Radio frequency K1 Support vector machines K1 Microwave antennas K1 Radar K1 Feature extraction K1 Brain modeling K1 Radar antennas K1 drowsiness K1 electroencephalography K1 machine learning K1 feature extraction K1 classification SP 430 OP 435 LK http://dx.doi.org/https://doi.org/10.1109/ICRAMET60171.2023.10366672 DO https://doi.org/10.1109/ICRAMET60171.2023.10366672 SF ELIB - SuUB Bremen
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