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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 ...

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 ...

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 ...

The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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AuthorMaghari, Ashraf Y. A. (3)Eljamassi, Duaa F. (1)Khalid Bolbol, Noor (1)Musleh, Areej A.wahab Ahmed (1)Subject
Classification (3)
COVID-19 (2)KNN (2)Arabic language (1)CheXNet (1)CNN (1)Decision Tree (1)HOG (1)Logistic Regression (1)opinion mining (1)... View MoreDate Issued
2020 (3)

The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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