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…
Computer Science and Information Technology
heart disease prediction
SMOTE
Machine learning
Imbalance Datasets
A. M. Abbas and Hamzah Ali Qasem
2nd International Conference on Contemporary Computing and Informatics, IC3I · 2016 · pp. 131–136
Development of algorithms for discovering the location of nodes in a wireless sensor network is a task that offers a lot challenges to the research community. In this paper, we present a protocol for locating nodes in a wireless sensor…
Computer Science and Information Technology
Wireless sensor networks
localization protocol
A. M. Abbas and Hamzah Ali Qasem
International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014 · 2014 · pp. 2122–2128
evising a protocol for localization in a wireless sensor network is a formidable task. In this paper, we present a localization protocol for a wireless sensor network. In our protocol, a sensor computes its location using the locations of either…
Computer Science and Information Technology
Localization
anchors
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
Ayman Alsabry
Malek Algabri
Amin Mohamed Ahsan
Mogeeb A. A. Mosleh
F. E. Hanash
Hamzah Ali Abdulrahman Qasem
International Journal of Computing · 2024 · Vol. 2 · No. 23 · pp. 85–93
Breast cancer is a primary cause of cancer-associated mortality among women globally, and early detection and personalized treatment are critical for improving patient outcomes. In this study, we propose an optimal framework for predicting breast cancer patient survivability using the…
Computer Science and Information Technology
Data Exploration
GentleBoost algorithm
Hyperparameters Tuning
Machine Learning
SEER breast cancer dataset
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
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
W Alaghbari, B Sultan, SQ Al-Yousfi
Queen Arwa University Journal · 2020 · Vol. 25 · No. 25 · pp. 25–25
This quantitative research probes the structural influence of modern human resource motivation factors on project delivery metrics across Yemen’s building and civil engineering sectors. By gathering field data during active structural crises, the study proves that robust non-monetary recognition setups…
Engineering
Architecture Engineering
Motivation factors
Project performance
Construction
Journal article
A Alsanoy, W Alaghbari, A Al-Arifi, WA Ali
Annals of Agricultural Science, Moshtohor · 2013
This paper assesses the level of awareness and perception of biodiversity conservation among undergraduate students at Sana’a University, Yemen. Utilizing a structured survey methodology, the research evaluates students’ environmental knowledge, attitudes, and the role of higher education curricula in fostering…
Engineering
Architecture Engineering
Biodiversity awareness
Assessment
Students
Journal article
W Alaghbari, Y Almolhem, A Alsanoy
Procedia Engineering / ScienceDirect Building Control Series · 2011
This research deploys an econometric Hedonic Model formulation to identify, rank, and analyze the major implicit variables altering housing property values and construction costs across Yemeni cities. The paper evaluates structural space configuration, spatial locational dynamics, and public utility access…
Engineering
Architecture Engineering
Hedonic model
Applied
Significant factors