A5089650529- Software Engineering Research
- Software System Performance and Reliability
- Network Security and Intrusion Detection
- Software Reliability and Analysis Research
- Fire Detection and Safety Systems
- Global Public Health Policies and Epidemiology
- Ethics in Clinical Research
- Water-Energy-Food Nexus Studies
- Software Engineering Techniques and Practices
- Pressure Ulcer Prevention and Management
- Smoking Behavior and Cessation
- Pelvic and Acetabular Injuries
- Embedded Systems Design Techniques
- Diverse Scientific Research Studies
- Forensic Anthropology and Bioarchaeology Studies
- Cardiovascular Health and Risk Factors
- COVID-19 Clinical Research Studies
- Health and Conflict Studies
- Teaching and Learning Programming
- Cloud Data Security Solutions
- Artificial Intelligence in Healthcare and Education
- Musculoskeletal pain and rehabilitation
- Complex Network Analysis Techniques
- Electronic Health Records Systems
- Water resources management and optimization
Jordan Hospital
2025
Hashemite University
2017-2024
King Hussein Cancer Center
2023
Al-Zaytoonah University of Jordan
2023
Jordan University of Science and Technology
2019
The University of Texas Medical Branch at Galveston
2019
In this era of rapid development in science and technology, creativity has become an important requirement nursing to satisfy the daily needs their patients. However, nurses' related aspects are rarely studied research. This study was aimed explore factors influencing develop a decision support system using machine learning predict levels among nurses. A multidisciplinary design comprising algorithms mixed with descriptive, cross-sectional, correlational implemented enhance data analysis...
An examination of the ability machine learning methodologies in classifying women Waterpipe (WP) smoker’s level nicotine dependence is proposed this work. In study, we developed a classifier that predicts for WP tobacco female smokers using set novel features relevant to including age, residency, and educational level. The evaluation results show our approach achieves recall 82% when applied on dataset Jordan.
Software testing is the main step of detecting faults in through executing it. Therefore, it substantial to predict that may happen while software maintain existence software. There are different techniques artificial intelligence utilized future defects. The Machine learning one most significant technique used build predicting models. In this paper, conducted a systematic review supervised machine which for defect prediction and evaluated performance. Thus, using five state-of-the-art...
<strong>Currently, cloud computing is facing different types of threats whether from inside or outside its environment. This may cause to be crashed at least unable provide services the requests made by clients. In this paper, a new technique proposed make sure that node which asks join not composing threat on Our checks before it will guaranteed runs malwares software could used launch an attack. way allow only clean it, eliminating risk some caused infected nodes.</strong>
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Software testing is the main step of detecting faults in through executing it. Therefore, it substantial to predict that may happen while software maintain existence software. There are different techniques artificial intelligence utilized future defects. The Machine learning one most significant technique used build predicting models. In this paper, conducted a systematic review supervised machine which for defect prediction and evaluated performance. Thus, using five state-of-the-art...
Due to their grave importance, management of water resources has been the focus attention for many researchers and practitioners from different disciplines across globe. Trying capture factors going into decisions related such a complex task with all nuances intricacies, have proposed implemented resource systems. Building Decision Support System (DSS) this holistic view practical usage eluded researchers. In work, comparative study DSS Water Resources Management (WRM) is presented....
Integration of computer technologies and sciences within health systems provides a vast data that can be harnessed by researchers as well policy makers to enhance develop high quality healthcare services. A questionnaire will conducted explore views perceptions master students regarding the use informatics in research including opportunities challenges facing this with special focus on some ethical aspects. Health were kindly consented complete (N = 52). Results showed rate their knowledge...
<p>For many decades, smoking tobacco has been a crucial concern due to respiratory failure. The potential relationship between and COVID-19 recently investigated. In this paper, we study investigate the role of decision support system predict ratio failure in smokers versus non-smokers among patients. We employed classifier that predicts as well death toll using machine learning methods. model demonstrate prediction accuracy 77% when applied on sample from 23 countries confirmed...
Different high performance techniques, such as profiling, tracing, and instrumentation, have been used to tune enhance the of parallel applications. However, these techniques do not show how explore potential parallelism in a given application. Animating visualizing execution process sequential algorithm provide thorough understanding its usage functionality. In this work, an interactive web-based educational animation tool was developed assist users analyzing algorithms detect regions...