Now showing items 1-4 of 4

    • COVID-19 Detection from Chest X-ray Scans using Machine Learning

      Eljamassi, Duaa F.; Maghari, Ashraf Yunis (Institute of Electrical and Electronics Engineers (IEEE), 2020-12)
      Recently, the virus (COVID-19) has spread widely throughout the world and has led to the examination of large numbers of suspected cases using standard COVID-19 tests and has become pandemic. Everyday life, public health ...
    • COVID-19 Detection in X-ray Images using CNN Algorithm

      Musleh, Areej A.wahab Ahmed; Maghari, Ashraf Yunis (Institute of Electrical and Electronics Engineers (IEEE), 2020-12)
      Based on the best published research from Stanford University, the CheXNet algorithm was developed to diagnose and detect pneumonia from chest X-rays. To achieve better performance than experienced radiologists from the ...
    • Sentiment Analysis of Arabic Tweets Using Supervised Machine Learning

      Khalid Bolbol, Noor; Maghari, Ashraf Yunis (Institute of Electrical and Electronics Engineers (IEEE), 2020-12)
      The information momentum available on social media is an appropriate environment for identifying users' reactions and attitudes towards a particular topic, products, or any issues. To analyze this data and extract useful ...
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      Using Classification Data Mining Technique to predict the Non-Technical Losses in Power Systems in Palestine

      Nayfeh, Rana O; Abu-Issa, Abdallatif (The Islamic University of GAZA, 2016-30-08)
      Non-technical losses are the problem that concerns all electricity utilities around the world. Data mining algorithms are used to minimize the problem and detect the most proper subscribers for theft; making them the target ...