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

Gender enrolment factors in ict studies

Shahryan Abdulrahman Alserri, Nor Azan Mat Zin, Tengku Siti Meriam Tengku Wook

SOFTAM Postgraduate Symposium December · 2017 · pp. 1–7

Information and Communication Technology (ICT) has a direct impact on STEM education development, specifically in Computer Science and Information Technology studies, which are offered by most universities worldwide due to their importance for a countrys development. The female workforce in…

Multimedia Multimedia
ICT education gender factors serious games enrolment
Journal article

Gender-based engagement model for designing serious games

Shahryan Abdulrahman Alserri, Nor Azan Mat Zin, Tengku Siti Meriam Tengku Wook

6th international conference on electrical engineering and informatics (ICEEI)2017 · 2017 · pp. 1–5

There is a low number of female student’s enrollment in Computer Science field in many countries. Much effort has been done to motivate females to study computer science, but it is still not enough. Serious games are effective tools for…

Multimedia Multimedia
Gender Serious game Computer Science
Journal article

Gender-based game engagement model validation using low Fidelity prototype

Shahryan Abdulrahman Alserri, Nor Azan Mat Zin, Tengku Siti Meriam Tengku Wook

International Journal of Engineering and Advanced Technology Regular Issue · 2020 · Vol. 9 · No. 4 · pp. 1982–1988

Lack of female involvement in ICT field calls for new approaches to ICT education. Serious game is an effective tool for learning, so it can be used to motivate and engage female students to study Computing. Engagement elements for serious…

Multimedia Multimedia
Heuristic evaluation; serious games; game interface evaluation; game design.
Journal article

Instrument Validation for Evaluating Serious Game Engagement Model

Shahryan Abdulrahman Alserri, Nor Azan Mat Zin, Tengku Siti Meriam Tengku Wook

2019 International Conference on Electrical Engineering and Informatics (ICEEI) · 2019 · pp. 170–175

The Computer Science major is one of the most rapidly growing fields and offers some of the highest-paying jobs in the world. In the last decade, Computer Science studies have shown a general lack of female enrolments. Serious game can…

Multimedia Multimedia
serious game engagement motivation questionnaire validity reliability
Journal article
SPRINGER

VirP: Virtual Points Based Localization Scheme for Wireless Sensor Networks

A. M. Abbas and Hamzah Ali Qasem

Wireless Personal Communications. · 2017 · Vol. 97 · No. 2 · pp. 2951–2970

Designing a scheme for facilitating sensors in a WSN to compute their own locations is a challenging task. In this paper, we propose a scheme that equips sensors to estimate their own locations. In the proposed scheme, a sensor adds…

Computer Science and Information Technology
Wireless sensor networks Localization Range-free localization
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…

Computer Science and Information Technology
Data Exploration Ensemble Classifier Hyperparameters Tuning Machine 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…

Computer Science and Information Technology
Organization’s need Overall Satisfaction Renewable Energy Resources Solar Energy Structural equation modeling
Journal article
IEEE

Scheduling in Cloud of Things: An Overview

Abdulrahman Mohammed Hussein Obaid, Awadh Ali Abdo Mohammed, Santosh K Pani, Ayman Alsabry, Hamzah Ali Qasem

2023 3rd International Conference on Emerging Smart Technologies and Applications (eSmarTA) · 2023 · pp. 1–12

Computing, Internet, digital devices, smart devices, and other technologies were leading to a new terminology known as cloud of things (CoT). Cloud of Things is a powerful technology used to analyze and store massive data from thousands of distributed devices…

Computer Science and Information Technology
Computing Cloud of Things Scheduling Algorithms Scientific Workflow Survey Taxonomy
Journal article
IEEE

Enhancing prediction models' performance for breast cancer using SMOTE technique

Ayman Alsabry, Malek Algabri, Amin Mohamed Ahsan, Mogeeb AA Mosleh, Aqeel Abdullah Ahmed, Hamzah Ali Qasem

2023 3rd International Conference on Emerging Smart Technologies and Applications (eSmarTA) · 2023 · pp. 1–8

Breast cancer (BC) is a critical public health concern, and the development of accurate prediction models is crucial for early detection. However, predicting BC using imbalanced datasets poses challenges for achieving accurate predictions. This study aims to enhance the performance…

Computer Science and Information Technology
Breast Cancer SMOTE Breast Cancer Coimbra Dataset Machine learning
Journal article
IEEE

Predicting heart disease using machine learning techniques on electronic health records data

Waheeb Baddah, Hamzah Ali Qasem, Ayman Alsabry, Awadh abdo Mohammed, FE Hanash

2023 3rd International Conference on Emerging Smart Technologies and Applications (eSmarTA) · 2023 · pp. 1–8

heart disease is a prevalent cause of mortality worldwide, and the ability to identify and prevent this ailment at an early stage is crucial for enhancing patient outcomes. Recently, researchers have focused on utilizing Machine-Learning (ML) techniques to predict risk…

Computer Science and Information Technology
Heart disease prediction K-Nearest Neighbors Algorithm Machine learning Hyperparameter tuning optimization