Sevda Zafarmandi Ardabili

According to our database, Sevda Zafarmandi Ardabili authored at least 3 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2024

A Novel Approach for Automatic Detection of Driver Fatigue Using EEG Signals Based on Graph Convolutional Networks.

Sevda Zafarmandi Ardabili, Soufia Bahmani, Lida Zare Lahijan, Nastaran Khaleghi, Sobhan Sheykhivand, Sebelan Danishvar

Sensors, January, 2024

2023

Salient Arithmetic Data Extraction from Brain Activity via an Improved Deep Network.

Nastaran Khaleghi, Shaghayegh Hashemi, Sevda Zafarmandi Ardabili, Sobhan Sheykhivand, Sebelan Danishvar

Sensors, December, 2023

Deep Learning for Detecting Multi-Level Driver Fatigue Using Physiological Signals: A Comprehensive Approach.

Mohammad Peivandi, Sevda Zafarmandi Ardabili, Sobhan Sheykhivand, Sebelan Danishvar

Sensors, October, 2023