11 citations · 23 across the 12 of their papers we have counts for
12 papers
A Sequence-Aware Recommendation Method Based on Complex Networks
Abdullah Alhadlaq, Said Kerrache, Hatim Aboalsamh
Online stores and service providers rely heavily on recommendation softwares to guide users through the vast amount of available products. Consequently, the field of recommender sy…
A Recommendation Approach based on Similarity-Popularity Models of Complex Networks
Abdullah Alhadlaq, Said Kerrache, Hatim Aboalsamh
Recommender systems have become an essential tool for providers and users of online services and goods, especially with the increased use of the Internet to access information and…
Designing the Architecture of a Convolutional Neural Network Automatically for Diabetic Retinopathy Diagnosis
Fahman Saeed, Muhammad Hussain, Hatim A Aboalsamh +2
The prevalence of diabetic retinopathy (DR) has reached 34.6% worldwide and is a major cause of blindness among middle-aged diabetic patients. Regular DR screening using fundus pho…
A Deep Learning-Based Unified Framework for Red Lesions Detection on Retinal Fundus Images
Norah Asiri, Muhammad Hussain, Fadwa Al Adel
Red-lesions, microaneurysms (MAs) and hemorrhages (HMs), are the early signs of diabetic retinopathy (DR). The automatic detection of MAs and HMs on retinal fundus images is a chal…
Alignment-Free Cross-Sensor Fingerprint Matching based on the Co-Occurrence of Ridge Orientations and Gabor-HoG Descriptor
Helala AlShehri, Muhammad Hussain, Hatim AboAlSamh +2
The existing automatic fingerprint verification methods are designed to work under the assumption that the same sensor is installed for enrollment and authentication (regular match…
A Review on understanding Brain, and Memory Retention and Recall Processes using EEG and fMRI techniques
Qazi Emad-Ul-Haq, Muhammad Hussain, Hatim Aboalsamh +3
Human memory -- the learning of new information involves changes at the synaptic level between neurons dedicated for storage of in-formation. Generally, memory is classified as Lon…
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…
Deep Learning based Computer-Aided Diagnosis Systems for Diabetic Retinopathy: A Survey
Norah Asiri, Muhammad Hussain, Fadwa Al Adel +1
Diabetic retinopathy (DR) results in vision loss if not treated early. A computer-aided diagnosis (CAD) system based on retinal fundus images is an efficient and effective method f…
ConvSRC: SmartPhone based Periocular Recognition using Deep Convolutional Neural Network and Sparsity Augmented Collaborative Representation
Amani Alahmadi, Muhammad Hussain, Hatim Aboalsamh +1
Smartphone based periocular recognition has gained significant attention from biometric research community because of the limitations of biometric modalities like face, iris etc. M…
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…