Items where Author is "Tohid Yousefi Rezaii"

Article

Sobhan Sheykhivand and Tohid Yousefi Rezaii and Zohreh Mousavi and Saeed Meshgini and Somaye Makouei and Ali Farzamnia and Sebelan Danishvar and Teo, Kenneth Tze Kin (2022) Automatic Detection of Driver Fatigue Based on EEG Signals Using a Developed Deep Neural Network. Electronics, 11 (2169). pp. 1-22. ISSN 2079-9292

Sobhan Sheykhivand and Tohid Yousefi Rezaii and Saeed Meshgini and Somaye Makoui and Ali Farzamnia (2022) Developing a Deep Neural Network for Driver Fatigue Detection Using EEG Signals Based on Compressed Sensing. Sustainability, 14. pp. 1-22. ISSN 2071-1050

Mehdi Abdollahpour and Tohid Yousefi Rezaii and Ali Farzamnia and Ismail Saad (2022) A two-stage learning convolutional neural network for sleep stage classification using a filterbank and single feature. IEEE Access, 10. pp. 60597-60609. ISSN 2169-3536

Sobhan Sheykhivand and Zohreh Mousavi and Sina Mojtahedi and Tohid Yousefi Rezaii and Ali Farzamnia and Saeed Meshgini and Ismail Saad (2021) Developing an efficient deep neural network for automatic detection of COVID-19 using chest X-ray images. Alexandria Engineering Journal, 60. pp. 2885-2903.

Khatereh Darvish ghanbar and Tohid Yousefi Rezaii and Ali Farzamnia and Ismail Saad (2021) Correlation-based common spatial pattern (CCSP): A novel extension of CSP for classification of motor imagery signal. PLoS ONE, 16. pp. 1-18. ISSN 1932-6203

Sepideh Zolfaghari and Tohid Yousefi Rezaii and Saeed Meshgini and Ali Farzamnia and Liau Chung Fan (2021) Speed Classification of Upper Limb Movements Through EEG Signal for BCI Application. IEEE Access, 9. pp. 114564-114573. ISSN 2169-3536

Sobhan Sheykhivand and Tohid Yousefi Rezaii and Zohreh Mousavi and Azra Delpak and Ali Farzamnia (2020) Automatic identification of epileptic seizures from EEG signals using sparse representation-based classification. IEEE Access, 8. 138834 - 138845. ISSN 2169-3536

Milad Abaspoor and Saeed Meshgini and Tohid Yousefi Rezaii and Ali Farzamnia (2020) A Novel Method for Detecting Breast Cancer Location Based on Growing GA-FCM Approach. IEEE.

Proceedings

Ngu War Hlaing and Ali Farzamnia and Manas Kumar Haldar and Tohid Yousefi Rezaii (2021) BER analysis of SIMO and MIMO systems with Rayleigh fading using SIMULINK.

Ngu War Hlaing and Ali Farzamnia and Frydoreen Masmin and Manas Kumar Haldar and Tohid Yousefi Rezaii (2020) Performance analysis of OFDM channel estimation under IQ imbalance.