22 citations · 36 across the 8 of their papers we have counts for
8 papers
Video Forgery Detection for Surveillance Cameras: A Review
Noor B. Tayfor, Tarik A. Rashid, Shko M. Qader +14
The widespread availability of video recording through smartphones and digital devices has made video-based evidence more accessible than ever. Surveillance footage plays a crucial…
Reducing Formal Context Extraction: A Newly Proposed Framework from Big Corpora
Bryar A. Hassan, Shko M. Qader, Alla A. Hassan +4
Automating the extraction of concept hierarchies from free text is advantageous because manual generation is frequently labor- and resource-intensive. Free result, the whole proced…
Artificial Cardiac Conduction System: Simulating Heart Function for Advanced Computational Problem Solving
Rebaz Mohammed Dler Omer, Nawzad K. Al-Salihi, Tarik A. Rashid +3
This work proposes a novel bio-inspired metaheuristic called Artificial Cardiac Conduction System (ACCS) inspired by the human cardiac conduction system. The ACCS algorithm imitate…
Detection of Auditory Brainstem Response Peaks Using Image Processing Techniques in Infants with Normal Hearing Sensitivity
Amir Majidpour, Samer Kais Jameel, Jafar Majidpour +4
Introduction: The auditory brainstem response (ABR) is measured to find the brainstem-level peripheral auditory nerve system integrity in children having normal hearing. The Audito…
Offline Handwriting Signature Verification: A Transfer Learning and Feature Selection Approach
Fatih Ozyurt, Jafar Majidpour, Tarik A. Rashid +1
Handwritten signature verification poses a formidable challenge in biometrics and document authenticity. The objective is to ascertain the authenticity of a provided handwritten si…
Multi-Transfer Learning Techniques for Detecting Auditory Brainstem Response
Fatih Ozyurt, Jafar Majidpour, Tarik A. Rashid +2
The assessment of the well-being of the peripheral auditory nerve system in individuals experiencing hearing impairment is conducted through auditory brainstem response (ABR) testi…
Exploiting the Generative Adversarial Network Approach to Create a Synthetic Topography Corneal Image
Samer Kais Jameel, Sezgin Aydin, Nebras H. Ghaeb +4
Corneal diseases are the most common eye disorders. Deep learning techniques are used to per-form automated diagnoses of cornea. Deep learning networks require large-scale annotate…
Automatic image annotation base on Naive Bayes and Decision Tree classifiers using MPEG-7
Jafar Majidpour, Samer Kais Jameel
Recently it has become essential to search for and retrieve high-resolution and efficient images easily due to swift development of digital images, many present annotation algorith…