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1 Ergebnisse
1
Drowsiness Detection Using CNN Architecture:
, In:
2023 2nd International Conference on Futuristic Technologies (INCOFT)
,
Renukadevi, N.T.
;
Kishore, K.
;
Saraswathi, K.
. - p. 1-6 , 2023
Link:
https://doi.org/10.1109/INCOFT60753.2023.10425574
RT T1 <cTitle>2023 2nd International Conference on Futuristic Technologies (INCOFT)</cTitle>: T1 <Title>Drowsiness Detection Using CNN Architecture</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10425574&Exemplar=1&LAN=DE A1 Renukadevi, N.T. A1 Kishore, K. A1 Saraswathi, K. A1 Nithish, T. Roshan YR 2023 K1 Deep learning K1 Visualization K1 Computer architecture K1 Convolutional neural networks K1 Artificial intelligence K1 Faces K1 Vehicles K1 Convolutional Neural Networks K1 Deep Neural Networks K1 ResNet Architecture K1 Haar Cascade SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/INCOFT60753.2023.10425574 DO https://doi.org/10.1109/INCOFT60753.2023.10425574 SF ELIB - SuUB Bremen
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