Ayman Alsabry, Malek Algabri, Amin Mohamed Ahsan
Sana’a University Journal of Applied Sciences and Technology · 2023 · Vol. 1 · No. 2 · pp. 17–37
Breast cancer (BC) is a major health concern worldwide. It is a complex and multifactorial disease, and identifying its risk factors is crucial for early detection and effective treatment. This review article provides an overview of the literature on breast…
Breast Cancer Risk Factors
Breast Cancer Data Source
Machine learning (ML)
Support Vector Machines (SVM)
Atificial Neural Networks (ANN)
Decision Trees (DT)
Random Forests (RF)
Clustering
Dimensionality Reduction
Mogeeb AA Mosleh, Maged HA Hamoud, Ayman A Alsabri
2022 2nd International Conference on Emerging Smart Technologies and Applications (eSmarTA) · 2022 · pp. 1–6
Prostate Cancer (PCa) is considered as one of the widely cancer diseases affect men around the globe. Research found about 16.67% of men affects by PCa in their life specially after 40 ages. Studies reported that one of every six…
PCa detection
PCa
MRI
Deep Learning
Pre-Trained Transfer Learning
Ayman Abduh Alsabry, Hamzah Ali Qasem, Mogeeb Mosleh
International Journal of Scientific & Engineering Research · 2021 · Vol. 4 · No. 12
Republic of Yemen is a developing country. It depends on oil for the life needs. Regarding the availability of renewable energy resources, the country has huge solar resources. Due to crises and civil wars, most organizations turned to alternative energy…
Organization’s need
Overall Satisfaction
Renewable Energy Resources
Solar Energy
Structural equation modeling
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
