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  1. A Knowledge Based System for Diagnosing Persimmon Diseases.Sami M. Okasha, Fadi E. S. Harara, Mustafa M. K. Al-Ghoul & Samy S. Abu-Naser - 2022 - Nternational Journal of Academic and Applied Research (IJAAR) 6 (6):53-60.
    Background: Persimmon is a grassy, perennial plant, belonging to the oral platoon, square-shaped leg, bifurcated, erect, and ranging in height from (10 - 201 cm). Home to Europe and Asia. The Persimmon plant has many benefits, the most important of which are pain relief, treatment of gallbladder disorders, the expulsion of gases, anti-inflammatory, and relaxing nerves. While the Persimmon plant is the ideal option for the start of gardens, it is prone to some common diseases that affect the plant's growth. (...)
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  • Figs Knowledge Based System Disease Diagnosis and Treatment.Fadi E. S. Harara, Mustafa M. K. Al-Ghoul, Mohammed H. S. Abueleiwa, Sami M. Okasha & Samy S. Abu-Naser - 2022 - International Journal of Academic and Applied Research (IJAAR) 6 (6):33-38.
    Background: Figs are a unique fruit resembling a teardrop. They’re about the size of your thumb, filled with hundreds of tiny seeds, and have an edible purple or green peel. The flesh of the fruit is pink and has a mild, sweet taste. The scientific name for the fig is Ficus carica. As rewarding as they are frustrating, figs are commonly troubled by several fungal diseases, as well as the odd bacteria or virus. Knowing how to recognize fig tree diseases (...)
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  • Gender Prediction From Retinal Fundus Using Deep Learning.Ashraf M. Taha, Qasem M. M. Zarandah, Bassem S. Abu-Nasser, Zakaria K. D. AlKayyali & Samy S. Abu-Naser - 2022 - International Journal of Academic Information Systems Research (IJAISR) 6 (5):57-63.
    Deep learning may transform health care, but model development has largely been dependent on availability of advanced technical expertise. The aim of this study is to develop a deep learning model to predict the gender from retinal fundus images. The proposed model was based on the Xception pre-trained model. The proposed model was trained on 20,000 retinal fundus images from Kaggle depository. The dataset was preprocessed them split into three datasets (training, validation, Testing). After training and cross-validating the proposed model, (...)
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  • Prediction of Student Adaptability Level in E-Learning Using Machine and Deep Learning Techniques.Zakaria K. D. AlKayyali, Bassem S. Abu-Nasser, Ashraf M. Taha, Qasem M. M. Zarandah & Samy S. Abu-Naser - 2022 - International Journal of Academic and Applied Research (IJAAR) 6 (5):84-96.
    E-learning is an educational model in which the lectures can be taught at the same time using technical material without time and space barriers. E-learning has gained its popularity during the Covid-19 pandemic era and has been applied as a valid educational model in all educational levels. Due to the sudden pandemic measures, e-learning has brought about a lot of technical problems at unprepared educational institutions against the pandemic. It is important for the decision makers of educational institutions to get (...)
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