Ayman Alsabry
Hamzah Ali Abdulrahman Qasem
Malek Algabri
Amin Mohamed Ahsan
Mogeeb A. A. Mosleh
F. E. Hanash
International Journal of Computing · 2024 · Vol. 2 · No. 23 · pp. 254–267
Breast cancer (BC) is a major global health concern. Detecting BC at an early stage gives more treatment options and can help avoid more aggressive treatments. The use of machine learning (ML) in BC prediction offers significant potential for improving…
Data Exploration
Ensemble Classifier
Hyperparameters Tuning
Machine Learning
Waheeb Baddah, Hamzah Ali Qasem, Ayman Alsabry, Rana Saleh Al Gawani, Wafa Mohammed Alzuraiqi, FE Hanash
2024 4th International Conference on Emerging Smart Technologies and Applications (eSmarTA) · 2024 · pp. 1–10
The problem of data imbalance poses a significant challenge in the field of medical diagnostics, particularly in heart disease prediction using machine learning models. This study investigates the application of the Synthetic Minority Over-sampling Technique (SMOTE) to address this imbalance…
heart disease prediction
SMOTE
Machine learning
Imbalance Datasets
Mogeeb AA Mosleh, Nashwan Ameen Al-Khulaidi, Abdu H Gumaei, Ayman Alsabry, Ali AA Musleh
2024 4th International Conference on Emerging Smart Technologies and Applications (eSmarTA) · 2024 · pp. 1–12
Test automation is crucial for agile software projects to enable frequent delivery of working software with cost and time and minimal bugs. However, selecting the right automated testing tool is considered challenging due to the wide range of such existing…
Agile methodology
agile testing
agile tools
agile evaluation model
Automated Testing
Malek Algabri, Abdulrahman A Alsabri, Abdoualwase M Al-Azzani, Firdaus Alhrazi, Ayman Alsabry, Ahmed Abdullah Al-Shalabi
2024 1st International Conference on Emerging Technologies for Dependable Internet of Things (ICETI) · 2024 · pp. 1–10
Privilege abuse within organizations is a major concern because it can lead to security breaches caused by malicious actions or behavior from employees. It is one of the key sources of insider threats in organizational systems. This paper presents an…
Recurrent Neural Network
LSTM
Blockchain
Privileges abuse
Insider attacks
Abeer Abdullah Shujaaddeen, Fadl Mutaher Ba-Alwi, Ammar T Zahary, Ahmed Sultan Alhegami, Ayman Alsabry, Abdulkader M Al-Badani
2024 1st International Conference on Emerging Technologies for Dependable Internet of Things (ICETI) · 2024 · pp. 1–9
In this paper, a model was built to compare the performance of the following machine learning (ML) models: DT, RF, SVM, and MLP, using two types of classification: binary classification and multi classification. The researchers concluded that the MLP classifier…
Binary Classification
Multivariate Classification
Multi-class Model
Machine Learning
Machine Learning Models
Machine Learning Techniques
Type Classification
Tax Authorities
Confusion Matrix
Multi-label
Multiple Classes
Fraud Detection
Tax Administration
RapidMiner
Financial Fraud
Abeer Abdullah Shujaaddeen, Fadl Mutaher Ba-Alwi, Ammar T Zahary, Ghaleb Al-Gaphari, Abdulkader M Al-Badani, Ayman Alsabry
2024 1st International Conference on Emerging Technologies for Dependable Internet of Things (ICETI) · 2024 · pp. 1–9
This paper developed a new model called Single Rule Random Forest (SrRF) that enhances the performance of the Fandom Forest technique(RF)and reduces its rules, then compared the performance of this model with a set of ML models as follows (DT,…
ML techniques
RF
DT
GPT techniques K-Fold Validation
Dataset of Tax
Awadh Ali Abdo Mohammed, Abdulrahman Mohammed Hussein Obaid, Ayman Alsabry, Yousif A Alhaj
2024 1st International Conference on Emerging Technologies for Dependable Internet of Things (ICETI) · 2024 · pp. 1–8
The development of telemedicine technology indicates a shift in access to healthcare services and patients’ desire for more convenient healthcare makes it a key tool in healthcare delivery. However, the process of transmitting and processing data with a high level…
Quantum Internet
Telemedicine
Healthcare Delivery
Quantum Computing
Integration Challenges
Sadeq Ali Yahya Mana'a, Ayman Alsabry, Rana Saleh Algawani
Queen Arwa University Journal · 2024 · No. 28
This study examines the relationship between unemployment and technological advancement in Yemeni manufacturing companies, focusing on three independent variables: Productivity Enhancement, Operational Efficiency, and Skill Requirement. The objective is to gain insights into factors influencing unemployment and their significance in…
Technology Advancement
Unemployment
Productivity Enhancement
Operational Efficiency
Skill Requirement.
Rania Aleryani, Ayman Alsabry, Emad Alramada, Rana Saleh Algawani
Queen Arwa University Journal · 2024 · No. 28
This paper presents a comprehensive literature review on the Critical Success Factors (CSFs) influencing the successful implementation of Scrum in software development projects. Scrum, as a widely adopted agile methodology, enhances flexibility, collaboration, and iterative delivery of software solutions. However,…
Scrum
Agile Methodology
Critical Success Factors
Software
Development
Project Management
Team Collaboration
Iterative
Delivery
Organizational Factors
Customer Involvement
Management
Commitment
Ayman Alsabry, Abeer A Shujaaddeen, Mogeeb AA Mosleh
2025 5th International Conference on Emerging Smart Technologies and Applications (eSmarTA) · 2025 · pp. 1–8
Class imbalance remains a significant challenge in breast cancer classification, leading to biased predictive models that favor the majority class. Addressing this issue is crucial for improving early detection and diagnostic accuracy. This study investigates the impact of Adaptive Synthetic…
Classification
Machine Learning
Imbalanced Data
Predictive Models
Imbalance Dataset
Oversampling
