Results for 'Abeer Elshater'

4 found
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  1. Potato Classification Using Deep Learning.Abeer A. Elsharif, Ibtesam M. Dheir, Alaa Soliman Abu Mettleq & Samy S. Abu-Naser - 2020 - International Journal of Academic Pedagogical Research (IJAPR) 3 (12):1-8.
    Abstract: Potatoes are edible tubers, available worldwide and all year long. They are relatively cheap to grow, rich in nutrients, and they can make a delicious treat. The humble potato has fallen in popularity in recent years, due to the interest in low-carb foods. However, the fiber, vitamins, minerals, and phytochemicals it provides can help ward off disease and benefit human health. They are an important staple food in many countries around the world. There are an estimated 200 varieties of (...)
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  2. Knowledge Based System for Diabetes Diagnosis Using SL5 Object.Ibtesam M. Dheir, Alaa Soliman Abu Mettleq, Abeer A. Elsharif, Mohammed N. Abu Al-Qumboz & Samy S. Abu-Naser - 2019 - International Journal of Academic Pedagogical Research (IJAPR) 3 (4):1-10.
    Diabetes is a major public health issue that affects the nations of our time to a large extent and is described as a non-communicable epidemic. Diabetes mellitus is a common disease where there is too much sugar (glucose) floating around in your blood. This occurs because either the pancreas can’t produce enough insulin or the cells in body have become resistant to insulin. The concentration in this paper is on diagnosis diabetes by designing a proposed expert system. The main goal (...)
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    Barriers of Asthma Care Among Asthmatic Children in Saudi Arabia: Maternal Perspectives.Abeer Alatawi & Meshaal Alanazi - manuscript
    Background Bronchial asthma is one of the most common chronic conditions among children. Despite the improvement in asthma treatment regimens, its prevalence and related morbidity are increasing, especially among underserved, minority children. There are barriers in the management of asthma, which may impact the quality of outcomes. The goal of this study is to explore these barriers. Methods A cross-sectional study was conducted on interview data collected through 2019 from mothers of children (aged 6 - 12 years) with asthma visiting, (...)
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    A Hybrid Automated Intelligent COVID-19 Classification System Based on Neutrosophic Logic and Machine Learning Techniques Using Chest X-Ray Images.Ibrahim Yasser, Aya A. Abd El-Khalek, A. A. Salama, Abeer Twakol, Mohy-Eldin Abo-Elsoud & Fahmi Khalifa - forthcoming - In Advances in Data Science and Intelligent Data Communication Technologies for COVID-19 Pandemic (DSIDC-COVID-19) ,Studies in Systems, Decision and Control.
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