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Sevda Zafarmandi Ardabili

Showing results (1-10 of 3) with videos related to

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Sensors (Basel, Switzerland)|October 14, 2023
Deep Learning for Detecting Multi-Level Driver Fatigue Using Physiological Signals: A Comprehensive ApproachMohammad Peivandi, Sevda Zafarmandi Ardabili, Sobhan Sheykhivand, et al.
Sensors (Basel, Switzerland)|December 9, 2023
Salient Arithmetic Data Extraction from Brain Activity via an Improved Deep NetworkNastaran Khaleghi, Shaghayegh Hashemi, Sevda Zafarmandi Ardabili, et al.
Sensors (Basel, Switzerland)|January 23, 2024
A Novel Approach for Automatic Detection of Driver Fatigue Using EEG Signals Based on Graph Convolutional NetworksSevda Zafarmandi Ardabili, Soufia Bahmani, Lida Zare Lahijan, et al.
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Showing results (1-10 of 3) with videos related to

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Pageof 1
Sensors (Basel, Switzerland)|October 14, 2023
Deep Learning for Detecting Multi-Level Driver Fatigue Using Physiological Signals: A Comprehensive ApproachMohammad Peivandi, Sevda Zafarmandi Ardabili, Sobhan Sheykhivand, et al.
Sensors (Basel, Switzerland)|December 9, 2023
Salient Arithmetic Data Extraction from Brain Activity via an Improved Deep NetworkNastaran Khaleghi, Shaghayegh Hashemi, Sevda Zafarmandi Ardabili, et al.
Sensors (Basel, Switzerland)|January 23, 2024
A Novel Approach for Automatic Detection of Driver Fatigue Using EEG Signals Based on Graph Convolutional NetworksSevda Zafarmandi Ardabili, Soufia Bahmani, Lida Zare Lahijan, et al.
Pageof 1