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Intelligent Risk Alarm for Asthma Patients using Artificial Neural Networks
Asthma is a chronic disease of the airways of the lungs. It results in i...
06/30/2020 ∙ by Anas H. Blasi, et al. ∙
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Performance increment of high school students using ANN model and SA algorithm
In this study, Artificial Neural Network (ANN) model has been used for m...
06/23/2020 ∙ by Anas H. Blasi, et al. ∙
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Scheduling food industry system using fuzzy logic
In today's food industry, regardless if it is fast food or a sit down re...
06/23/2020 ∙ by Anas H. Blasi, et al. ∙
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Formulating Module Assessment for Improved Academic Performance Predictability in Higher Education
The choice of an effective student assessment method is an issue of inte...
06/23/2020 ∙ by Anas H. Blasi, et al. ∙
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Refining Student Marks based on Enrolled Modules’ Assessment Methods using Data Mining Techniques
Choosing the right and effective way to assess students is one of the mo...
06/23/2020 ∙ by Anas H. Blasi, et al. ∙
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Mosques Smart Domes System using Machine Learning Algorithms
Millions of mosques around the world are suffering some problems such as...
06/23/2020 ∙ by Anas H. Blasi, et al. ∙
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Anas H. Blasi
verfied profile
Dr. Anas Blasi is a dean assistant and assistant professor in the Computer Science department at Mutah University. He earned the B.S. in Computer Science from Mutah University (Jordan) in 2006, and the M.S. in Computer Science from University of Sunderland (England) in 2010, and the Ph.D. in Computer and systems Science from the State University of New York at Binghamton (USA) in 2013. Dr. Blasi research area is focusing on AI, Data Mining, Data Science, Machine Learning, Optimization algorithms, Fuzzy logic and EDM. He has published several papers in reputed journals and conferences. Dr. Blasi is a member of (IEEE). He has received numerous awards and honors.
