120 citations · 797 across the 32 of their papers we have counts for
33 papers
Advancing Offline Handwritten Text Recognition: A Systematic Review of Data Augmentation and Generation Techniques
Yassin Hussein Rassul, Aram M. Ahmed, Polla Fattah +4
Offline Handwritten Text Recognition (HTR) systems play a crucial role in applications such as historical document digitization, automatic form processing, and biometric authentica…
Collaboration Tools and their Role in Agile Software Projects
Raman Mohammed Hussein, Bryar A. Hassan
The purpose of this review is to understand the importance of collaboration tools which are Slack, Microsoft Teams, Confluence in Agile and software projects. Agile methodologies r…
From Dialect Gaps to Identity Maps: Tackling Variability in Speaker Verification
Abdulhady Abas Abdullah, Soran Badawi, Dana A. Abdullah +1
The complexity and difficulties of Kurdish speaker detection among its several dialects are investigated in this work. Because of its great phonetic and lexical differences, Kurdis…
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…
A Proposed Hybrid Recommender System for Tourism Industry in Iraq Using Evolutionary Apriori and K-means Algorithms
Bryar A. Hassan, Alla A. Hassan, Joan Lu +2
The rapid proliferation of tourism data across sectors, including accommodations, cultural sites, and events, has made it increasingly challenging for travelers to identify relevan…
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…
Multi-objective Cat Swarm Optimization Algorithm based on a Grid System
Aram M. Ahmed, Bryar A. Hassan, Tarik A. Rashid +4
This paper presents a multi-objective version of the Cat Swarm Optimization Algorithm called the Grid-based Multi-objective Cat Swarm Optimization Algorithm (GMOCSO). Convergence a…
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…
Advanced Clustering Techniques for Speech Signal Enhancement: A Review and Metanalysis of Fuzzy C-Means, K-Means, and Kernel Fuzzy C-Means Methods
Abdulhady Abas Abdullah, Aram Mahmood Ahmed, Tarik Rashid +1
Speech signal processing is a cornerstone of modern communication technologies, tasked with improving the clarity and comprehensibility of audio data in noisy environments. The pri…
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…
Ontology Learning Using Formal Concept Analysis and WordNet
Bryar A. Hassan
Manual ontology construction takes time, resources, and domain specialists. Supporting a component of this process for automation or semi-automation would be good. This project and…
Equitable and Fair Performance Evaluation of Whale Optimization Algorithm
Bryar A. Hassan, Tarik A. Rashid, Aram Ahmed +7
It is essential that all algorithms are exhaustively, somewhat, and intelligently evaluated. Nonetheless, evaluating the effectiveness of optimization algorithms equitably and fair…
Balancing exploration and exploitation phases in whale optimization algorithm: an insightful and empirical analysis
Aram M. Ahmed, Tarik A. Rashid, Bryar A. Hassan +7
Agents of any metaheuristic algorithms are moving in two modes, namely exploration and exploitation. Obtaining robust results in any algorithm is strongly dependent on how to balan…
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…
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…
Artificial Intelligence Algorithms for Natural Language Processing and the Semantic Web Ontology Learning
Bryar A. Hassan, Tarik A. Rashid
Evolutionary clustering algorithms have considered as the most popular and widely used evolutionary algorithms for minimising optimisation and practical problems in nearly all fiel…
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-…