no code implementations • 30 Sep 2022 • Abdullah Alhadlaq, Said Kerrache, Hatim AboAlSamh
This abstraction prevents the system from utilizing the rich information from the ordered sequence of user actions logged in online sessions.
no code implementations • 29 Sep 2022 • Abdullah Alhadlaq, Said Kerrache, Hatim AboAlSamh
The experimental results demonstrate that the proposed method produces accurate predictions and outperforms existing methods.
no code implementations • 10 Sep 2021 • Norah Asiri, Muhammad Hussain, Fadwa Al Adel, Hatim AboAlSamh
For this system, we introduced a new ROIs candidates generation method for large red lesions on fundus images; it is based on blood vessel segmentation and morphological operations, and reduces the computational complexity, and enhances the detection accuracy by generating a small number of potential candidates.
no code implementations • 30 Apr 2019 • Helala AlShehri, Muhammad Hussain, Hatim AboAlSamh, Qazi Emad-ul-Haq, Aqil M. Azmi
The existing automatic fingerprint verification methods are designed to work under the assumption that the same sensor is installed for enrollment and authentication (regular matching).
no code implementations • 30 Apr 2019 • Emad-ul-Haq Qazi, Muhammad Hussain, Hatim AboAlsamh, Ihsan Ullah
A DL model involves a large number of learnable parameters, and its training needs a large dataset of EEG signals, which is difficult to acquire for AER problem.
no code implementations • 30 Apr 2019 • Saeed Bamatraf, Muhammad Hussain, Emad-ul-Haq Qazi, Hatim AboAlSamh
Eigenvalues features extracted from topomaps images are given to K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) classifiers, in order to identify the states of the brain related to incorrect and correct answers.
no code implementations • 30 Apr 2019 • Emad-ul-Haq Qazi, Muhammad Hussain, Hatim AboAlSamh
The nuclear features from frontal brain region gave the 100% prediction accuracy.
no code implementations • 16 Jan 2018 • Amani Alahmadi, Muhammad Hussain, Hatim AboAlSamh, Mansour Zuair
Smartphone based periocular recognition has gained significant attention from biometric research community because of the limitations of biometric modalities like face, iris etc.
1 code implementation • 16 Jan 2018 • Ihsan Ullah, Muhammad Hussain, Emad-ul-Haq Qazi, Hatim AboAlSamh
Epilepsy is a neurological disorder and for its detection, encephalography (EEG) is a commonly used clinical approach.