120 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Kurdistan HewlerIQ13 papers
- Kurdistan Institute for Strategic Studies and Scientific Research12 papers
- Sulaimani Polytechnic UniversityIQ12 papers
- University of SulaimaniIQ6 papers
- Charles Sturt UniversityAU4 papers
- Guru Nanak Dev UniversityIN3 papers
- Torrens University AustraliaAU3 papers
- University of Garmian3 papers
- University of KurdistanIR3 papers
- Yonsei UniversityKR3 papers
- Consejo Superior de Investigaciones CientíficasES2 papers
- Komar University of Science and TechnologyIQ2 papers
23 papers
Comparative Analysis of Deep Learning Architectures for Multi-Disease Classification of Single-Label Chest X-rays
Ali M. Bahram, Saman Muhammad Omer, Hardi M. Mohammed
Chest X-ray imaging remains the primary diagnostic tool for pulmonary and cardiac disorders worldwide, yet its accuracy is hampered by radiologist shortages and inter-observer vari…
Effect of water soaking and rooting substrates on the rooting development of salakhani pomegranate hardwood cuttings
Iman J. B. Hawrami, M. M. A. Qadir, R. R. Aziz
This study was carried out to evaluated the effects of soaking duration and rooting substrate on the root and shoot development of Salakhani pomegranate hardwood cuttings. The expe…
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…
Analysis of the Metabolic Profile and Biological Activity of Hawthorn Species Twigs: Crataegus azarolus and Crataegus monogyna
Hiwa Sheikh Ahmed Qalatobzany, Kadhm Abdullah Muhammad, Djshwar Dhahir Lateef +4
All parts of the hawthorn tree (Crataegus spp.), including fruits, flowers, and leaves, have been used as a source of bioactive compounds. Thus, in this investigation, the twigs of…
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…
The Mpemba effect in quantum oscillating and two-level systems
Fardin Kheirandish, Narges Cheraghpour, Adam Moradian
The Empemba effect (ME) is investigated in the context of ubiquitous quantum oscillating and two-level systems (TLS) using a novel approach (DOI 10.1088/1402-4896/ad97f1). Exact re…
Decay Spectroscopy of Eu: Quasiparticle Configurations of Excited States and Structure of = Band-heads in Gd
D. Yates, R. Kruecken, I. Dillmann +45
\noindent \textbf{Background:} Detailed spectroscopy of neutron-rich, heavy, deformed nuclei is of broad interest for nuclear astrophysics and nuclear structure. Nuclei in the r-pr…
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…
Harmony Search: Current Studies and Uses on Healthcare Systems
Maryam T. Abdulkhaleq, Tarik A. Rashid, Abeer Alsadoon +13
One of the popular metaheuristic search algorithms is Harmony Search (HS). It has been verified that HS can find solutions to optimization problems due to its balanced exploratory…
An Improved Deep Convolutional Neural Network by Using Hybrid Optimization Algorithms to Detect and Classify Brain Tumor Using Augmented MRI Images
Shko M. Qader, Bryar A. Hassan, Tarik A. Rashid
Automated brain tumor detection is becoming a highly considerable medical diagnosis research. In recent medical diagnoses, detection and classification are highly considered to emp…
Solving the tension in Gravity through Bayesian Machine Learning
Muhsin Aljaf, Emilio Elizalde, Martiros Khurshudyan +2
Bayesian Machine Learning~(BML) and strong lensing time delay~(SLTD) techniques are used in order to tackle the tension in gravity. The power of BML relies on employ…
On quantum states generated from interacting oscillators
Haqi Ismael Shareef, Fardin Kheirandish
In this paper, we study the quantum states generated from two and three linearly interacting quantum harmonic oscillators. We consider the possibility that one of the oscillators b…
Current Studies and Applications of Shuffled Frog Leaping Algorithm: A Review
Bestan B. Maaroof, Tarik A. Rashid, Jaza M. Abdulla +5
Shuffled Frog Leaping Algorithm (SFLA) is one of the most widespread algorithms. It was developed by Eusuff and Lansey in 2006. SFLA is a population-based metaheuristic algorithm t…
A Novel Cluster Detection of COVID-19 Patients and Medical Disease Conditions Using Improved Evolutionary Clustering Algorithm Star
Bryar A. Hassan, Tarik A. Rashid, Hozan K. Hamarashid
With the increasing number of samples, the manual clustering of COVID-19 and medical disease data samples becomes time-consuming and requires highly skilled labour. Recently, sever…
Formal context reduction in deriving concept hierarchies from corpora using adaptive evolutionary clustering algorithm star
Bryar A. Hassan, Tarik A. Rashid, Seyedali Mirjalili
It is beneficial to automate the process of deriving concept hierarchies from corpora since a manual construction of concept hierarchies is typically a time-consuming and resource-…
Dynamic Cat Swarm Optimization Algorithm for Backboard Wiring Problem
Aram Ahmed, Tarik A. Rashid, Soran Saeed
This paper presents a powerful swarm intelligence meta-heuristic optimization algorithm called Dynamic Cat Swarm Optimization. The formulation is through modifying the existing Cat…
Evaluating e-Government Services in Kurdistan Institution for Strategic Studies and Scientific Research Using the EGOVSAT Model
Bryar A. Hassan, Aram M. Ahmed, Soran A. Saeed +1
Office automation is an initiative used to digitally deliver services to citizens, private and public sectors. It is used to digitally collect, store, create, and manipulate office…
Performance evaluation results of evolutionary clustering algorithm star for clustering heterogeneous datasets
Bryar A. Hassan, TarikA. Rashid, Seyedali Mirjalili
This article presents the data used to evaluate the performance of evolutionary clustering algorithm star (ECA*) compared to five traditional and modern clustering algorithms. Two…
A Multi-disciplinary Ensemble Algorithm for Clustering Heterogeneous Datasets
Bryar A. Hassan, Tarik A. Rashid
Clustering is a commonly used method for exploring and analysing data where the primary objective is to categorise observations into similar clusters. In recent decades, several al…
CSCF: a chaotic sine cosine firefly Algorithm for practical application problems
Bryar A. Hassan
Recently, numerous meta-heuristic based approaches are deliberated to reduce the computational complexities of several existing approaches that include tricky derivations, very lar…
Assessing the foundation and applicability of some dark energy fluid models in the Dirac-Born-Infeld framework
Muhsin Aljaf, Daniele Gregoris, Martiros Khurshudyan
In this paper, we will deepen the understanding of some fluid models proposed by other authors for the description of dark energy. Specifically, we will show that the so-called (Mo…
Operational Framework for Recent Advances in Backtracking Search Optimisation Algorithm: A Systematic Review and Performance Evaluation
Bryar A. Hassan, Tarik A. Rashid
The experiments conducted in previous studies demonstrated the successful performance of BSA and its non-sensitivity toward the several types of optimisation problems. This success…