Items where Author is "Saeed Meshgini"

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

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.

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

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.

Mahsa Malekzadeh and Saeed Meshgini and Reza Afrouzian and Ali Farzamnia and Sobhan Sheykhivand (2020) Removing mixture of Gaussian and Impulse noise of images using sparse coding. IEEE.

Conference or Workshop Item

Nazanin Nemati and Saeed Meshgini and Ali Farzamnia (2020) A robust framework epileptic seizures classification based on lightweight structure deep convolutional neural network and wavelet decomposition. In: 2020 28th Iranian Conference on Electrical Engineering, ICEE 2020, 04 August 2020, University of Tabriz, Iran.

Afsoon Badiei and Saeed Meshgini and Ali Farzamnia (2020) Sleep arousal events detection using PNN-GBMO classifier based on EEG and ECG signals: A hybrid-learning model. In: 2020 28th Iranian Conference on Electrical Engineering (ICEE), 26 November 2020, Tabriz, Iran.

Proceedings

Sania Eskandari and Saeed Meshgini and Ali Farzamnia (2021) Using a novel algorithm in ultrasound images to detect renal stones.

Behnam Kiani Kalejahi and Saeed Meshgini and Sabalan Daneshvar and Ali Farzamnia (2020) Bone age estimation by deep learning in X-Ray medical images.

Talal M Bakhsh and Saeed Meshgini and Ali Farzamnia (2020) Identification of epilepsy utilizing hilbert transform and SVM based classifier.