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Deep Learning for Detecting Multi-Level Driver Fatigue Using Physiological Signals: A Comprehensive Approach.
Sensors (Basel). 2023 Sep 29;23(19):8171. doi: 10.3390/s23198171.
Sensors (Basel). 2023.
PMID: 37837001
Free PMC article.
Salient Arithmetic Data Extraction from Brain Activity via an Improved Deep Network.
Khaleghi N, Hashemi S, Ardabili SZ, Sheykhivand S, Danishvar S.
Khaleghi N, et al. Among authors: ardabili sz.
Sensors (Basel). 2023 Nov 23;23(23):9351. doi: 10.3390/s23239351.
Sensors (Basel). 2023.
PMID: 38067727
Free PMC article.
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A Novel Approach for Automatic Detection of Driver Fatigue Using EEG Signals Based on Graph Convolutional Networks.
Ardabili SZ, Bahmani S, Lahijan LZ, Khaleghi N, Sheykhivand S, Danishvar S.
Ardabili SZ, et al.
Sensors (Basel). 2024 Jan 7;24(2):364. doi: 10.3390/s24020364.
Sensors (Basel). 2024.
PMID: 38257457
Free PMC article.
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