Published Articles

Browse peer-reviewed articles published by our staff and graduate students. Use the filters to narrow down by faculty, department, program, academic year, indexing (Scopus / Web of Science) or search by title, author and keywords.

Archive
Journal article

Investigating The Cost Of Modern Construction In Yemen

B Sultan, W Alaghbari

International Journal of Civil Engineering and Technology (IJCIET) · 2020

This paper investigates the baseline economic variables, structural overheads, and materials procurement budgets involved in deploying modern engineering construction methods in Yemen. Comparing conventional stone masonry with contemporary reinforced concrete framing and industrial building system approaches, the article determines the…

Engineering Architecture Engineering
Modern construction Cost investigation Yemen
Journal article

Controlling the Cost of Affordable Housing for Low-income Group: Factors Affecting Construction Costs in Affordable Housing for Low-income Group in Sana'a, Yemen

W Alaghbari

Monograph · 2010

Focusing on operational cost-containment models, this study tests administrative mechanisms designed to control total expenditure parameters for lower-income housing programs across Sana’a, Yemen. By detailing value-engineering steps, waste reduction strategies, and transparent material procurement systems, the paper develops an integrated…

Engineering Architecture Engineering
Cost control Affordable housing Low-income
Journal article

The relationship between total quality management and organizational performance

MA Alaghbari, MM Al-Dubai, NA Arishi

Information Sciences Letters · 2022 · Vol. 11 · No. 1 · pp. 199–207

This conceptual and empirical research examines the structural relationship linking total quality management (TQM) implementation with overall strategic and operational organizational performance. Analyzing data across corporate, production, and service sectors, the research establishes how customer-centric leadership, steady process documentation, and…

Engineering Architecture Engineering
Total Quality Management Organizational performance
Journal article
IEEE

Breast Cancer-Risk Factors and Prediction Using Machine-Learning Algorithms and Data Source: A Review of Literature

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
Journal article
IEEE

Detection of Prostate Cancer Using MRI Images Classification with Deep Learning Techniques

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
Journal article
IEEE

Impact of Solar Energy Usage on Organizations’ Energy Needs: Evidence from Private Banks in Yemen

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
Journal article
IEEE

Iterative tuning of tree-ensemble-based models' parameters using Bayesian optimization for breast cancer prediction

Ayman Alsabry, Malek Algabri

Informatics and Automation · 2024 · Vol. 1 · No. 23 · pp. 129–168

Abstract: The study presents a method for iterative parameter tuning of tree ensemble-based models using Bayesian hyperparameter tuning for states prediction, using breast cancer as an example. The proposed method utilizes three different datasets, including the Wisconsin Diagnostic Breast Cancer…

iterative tuning tree ensemble-based models bayesian optimization breast cancer machine learning.
Journal article
IEEE

Survey: state-of-the-art energy-consumption optimization solutions for mobile ad-hoc networks

Abdulsalam Tonin, Malek Algabri, Ayman Alsabry, Ali Abdullah Mohammed Ali, Abdualmajed AG Al-Khulaidi, Mossa Ghurab

Sana’a University Journal of Applied Sciences and Technology · 2024 · Vol. 2 · No. 3 · pp. 275–292

Mobile ad-hoc networks are deployed in different fields and it can be effective in applications that depend on the inter-node interaction such as search and rescue, surveillance, and battlefield reconnaissance. Due to this importance, in this article, we have reviewed…

MANET Evaluation Metrics Energy Consumption Optimization Scalability Network’s lifetime Stability Performance Evaluation Energy Efficiency
Journal article
IEEE

An Optimized Framework Based on Data Exploration and Dynamic Ensemble-Based Models for Breast Cancer Prediction

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
Journal article
IEEE

Optimizing Heart Disease Prediction Models through SMOTE: Addressing Data Imbalance

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