318 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Sulaimani Polytechnic UniversityIQ28 papers
- Charles Sturt UniversityAU20 papers
- Western Sydney UniversityAU15 papers
- University of SulaimaniIQ14 papers
- Kurdistan Regional GovernmentIQ13 papers
- Kurdistan Institute for Strategic Studies and Scientific Research10 papers
- Singidunum UniversityRS10 papers
- Charmo University8 papers
- Salahaddin University-ErbilIQ7 papers
- Torrens University AustraliaAU7 papers
- Yonsei UniversityKR7 papers
- Iraqi UniversityIQ6 papers
71 papers
Validation of Diagnostic Artificial Intelligence Models for Prostate Pathology in a Middle Eastern Cohort
Peshawa J. Muhammad Ali, Navin Vincent, Saman S. Abdulla +8
Background: Artificial intelligence (AI) is improving the efficiency and accuracy of cancer diagnostics. The performance of pathology AI systems has been almost exclusively evaluat…
Command-filter-based trajectory-tracking control of quadrotor subject to internal and external disturbances
Mustafa Mohammed Mustafa
We propose a command-filter backstepping controller that integrates a disturbance observer and a high-gain observer (HGO) to handle unknown internal and external disturbances actin…
An Improved FOX Optimization Algorithm Using Adaptive Exploration and Exploitation for Global Optimization
Mahmood A. Jumaah, Yossra H. Ali, Tarik A. Rashid
Optimization algorithms are essential for solving many real-world problems. However, challenges such as getting trapped in local minima and effectively balancing exploration and ex…
Hybrid Deep Learning Model for epileptic seizure classification by using 1D-CNN with multi-head attention mechanism
Mohammed Guhdar, Ramadhan J. Mstafa, Abdulhakeem O. Mohammed
Epilepsy is a prevalent neurological disorder globally, impacting around 50 million people \cite{WHO_epilepsy_50million}. Epileptic seizures result from sudden abnormal electrical…
Artificial Liver Classifier: A New Alternative to Conventional Machine Learning Models
Mahmood A. Jumaah, Yossra H. Ali, Tarik A. Rashid
Supervised machine learning classifiers sometimes face challenges related to the performance, accuracy, or overfitting. This paper introduces the Artificial Liver Classifier (ALC),…
Decoding Drug Discovery: Exploring A-to-Z In silico Methods for Beginners
Hezha O. Rasul, Dlzar D. Ghafour, Bakhtyar K. Aziz +3
The drug development process is a critical challenge in the pharmaceutical industry due to its time-consuming nature and the need to discover new drug potentials to address various…
Comparative Analysis of AES, Blowfish, Twofish, Salsa20, and ChaCha20 for Image Encryption
Rebwar Khalid Muhammed, Ribwar Rashid Aziz, Alla Ahmad Hassan +4
Nowadays, cybersecurity has grown into a more significant and difficult scientific issue. The recog-nition of threats and attacks meant for knowledge and safety on the internet is…
From A-to-Z Review of Clustering Validation Indices
Bryar A. Hassan, Noor Bahjat Tayfor, Alla A. Hassan +3
Data clustering involves identifying latent similarities within a dataset and organizing them into clusters or groups. The outcomes of various clustering algorithms differ as they…
Modified Bat Algorithm: A Newly Proposed Approach for Solving Complex and Real-World Problems
Shahla U. Umar, Tarik A. Rashid, Aram M. Ahmed +2
Bat Algorithm (BA) is a nature-inspired metaheuristic search algorithm designed to efficiently explore complex problem spaces and find near-optimal solutions. The algorithm is insp…
Modified-Improved Fitness Dependent Optimizer for Complex and Engineering Problems
Hozan K. Hamarashid, Bryar A. Hassan, Tarik A. Rashid
Fitness dependent optimizer (FDO) is considered one of the novel swarm intelligent algorithms. Recently, FDO has been enhanced several times to improve its capability. One of the i…
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…
CDDO-HS:Child Drawing Development Optimization Harmony Search Algorithm
Azad A. Ameen, Tarik A. Rashid, Shavan Askar
Child drawing development optimization (CDDO) is a recent example of a metaheuristic algorithm. The motive for inventing this method is children's learning behavior and cognitive d…
Awareness requirement and performance management for adaptive systems: a survey
Tarik A. Rashid, Bryar A. Hassan, Abeer Alsadoon +4
Self-adaptive software can assess and modify its behavior when the assessment indicates that the program is not performing as intended or when improved functionality or performance…
Fitness Dependent Optimizer with Neural Networks for COVID-19 patients
Maryam T. Abdulkhaleq, Tarik A. Rashid, Bryar A. Hassan +4
The Coronavirus, known as COVID-19, which appeared in 2019 in China, has significantly affected global health and become a huge burden on health institutions all over the world. Th…
The Fifteen Puzzle- A New Approach through Hybridizing Three Heuristics Methods
Dler O. Hasan, Aso M. Aladdin, Hardi Sabah Talabani +2
Fifteen Puzzle problem is one of the most classical problems that have captivated mathematical enthusiasts for centuries. This is mainly because of the huge size of the state space…
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…
An efficient hybrid classification approach for COVID-19 based on Harris Hawks Optimization and Salp Swarm Optimization
Abubakr Issa, Yossra Ali, Tarik Rashid
Feature selection can be defined as one of the pre-processing steps that decrease the dimensionality of a dataset by identifying the most significant attributes while also boosting…
Kurdish Handwritten Character Recognition using Deep Learning Techniques
Rebin M. Ahmed, Tarik A. Rashid, Polla Fattah +5
Handwriting recognition is one of the active and challenging areas of research in the field of image processing and pattern recognition. It has many applications that include: a re…
Improved Fitness Dependent Optimizer for Solving Economic Load Dispatch Problem
Barzan Hussein Tahir, Tarik A. Rashid, Hafiz Tayyab Rauf +4
Economic Load Dispatch depicts a fundamental role in the operation of power systems, as it decreases the environmental load, minimizes the operating cost, and preserves energy reso…
Heart Attack Classification System using Neural Network Trained with Particle Swarm Optimization
Askandar H. Amin, Botan K. Ahmed, Bestan B. Maaroof +1
The prior detection of a heart attack could lead to the saving of one's life. Putting specific criteria into a system that provides an early warning of an imminent at-tack will be…
Deep Learning for Size and Microscope Feature Extraction and Classification in Oral Cancer: Enhanced Convolution Neural Network
Prakrit Joshi, Omar Hisham Alsadoon, Abeer Alsadoon +4
Background and Aim: Over-fitting issue has been the reason behind deep learning technology not being successfully implemented in oral cancer images classification. The aims of this…
A novel solution of deep learning for enhanced support vector machine for predicting the onset of type 2 diabetes
Marmik Shrestha, Omar Hisham Alsadoon, Abeer Alsadoon +4
Type 2 Diabetes is one of the most major and fatal diseases known to human beings, where thousands of people are subjected to the onset of Type 2 Diabetes every year. However, the…
Deep Learning Neural Network for Lung Cancer Classification: Enhanced Optimization Function
Bhoj Raj Pandit, Abeer Alsadoon, P. W. C. Prasad +4
Background and Purpose: Convolutional neural network is widely used for image recognition in the medical area at nowadays. However, overall accuracy in predicting lung tumor is low…
A Novel Enhanced Convolution Neural Network with Extreme Learning Machine: Facial Emotional Recognition in Psychology Practices
Nitesh Banskota, Abeer Alsadoon, P. W. C. Prasad +3
Facial emotional recognition is one of the essential tools used by recognition psychology to diagnose patients. Face and facial emotional recognition are areas where machine learni…