HIGHLIGHTS
- who: Rawaa Al-Dabbagh from the Department of Computer Techniques Engineering, College of Economic Sciences University have published the article: Deep Convolutional Neural_Network Architecture to Detect COVID-19 from Chest X-Ray Images, in the Journal: (JOURNAL)
- what: This work has found that the accuracy of the suggested model in binary classification is 98.08%, while in multi-class classification, it earned more than 87%. The aim of these techniques is to give people the ability to solve a complex job, perform an activity, and learn from their mistakes to gain more ability. In this . . .
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