11 citations · 11 across the 4 of their papers we have counts for
4 papers
Automatic Emotion Recognition (AER) System based on Two-Level Ensemble of Lightweight Deep CNN Models
Emad-ul-Haq Qazi, Muhammad Hussain, Hatim AboAlsamh +1
Emotions play a crucial role in human interaction, health care and security investigations and monitoring. Automatic emotion recognition (AER) using electroencephalogram (EEG) sign…
An Efficient Intelligent System for the Classification of Electroencephalography (EEG) Brain Signals using Nuclear Features for Human Cognitive Tasks
Emad-ul-Haq Qazi, Muhammad Hussain, Hatim Aboalsamh
Representation and classification of Electroencephalography (EEG) brain signals are critical processes for their analysis in cognitive tasks. Particularly, extraction of discrimina…
Eigen Values Features for the Classification of Brain Signals corresponding to 2D and 3D Educational Contents
Saeed Bamatraf, Muhammad Hussain, Emad-ul-Haq Qazi +1
In this paper, we have proposed a brain signal classification method, which uses eigenvalues of the covariance matrix as features to classify images (topomaps) created from the bra…
An Automated System for Epilepsy Detection using EEG Brain Signals based on Deep Learning Approach
Ihsan Ullah, Muhammad Hussain, Emad-ul-Haq Qazi +1
Epilepsy is a neurological disorder and for its detection, encephalography (EEG) is a commonly used clinical approach. Manual inspection of EEG brain signals is a time-consuming an…