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    Identification of efficient COVID-19 diagnostic test through artificial neural networks approach − substantiated by modeling and simulation
    with Rabia Afrasiab, Asma Talib Qureshi, Fariha Imtiaz, and Syed Fasih Ali Gardazi
    Journal of Intelligent Systems 30 (1): 836-854. 2021.
    Soon after the first COVID-19 positive case was detected in Wuhan, China, the virus spread around the globe, and in no time, it was declared as a global pandemic by the WHO. Testing, which is the first step in identifying and diagnosing COVID-19, became the first need of the masses. Therefore, testing kits for COVID-19 were manufactured for efficiently detecting COVID-19. However, due to limited resources in the densely populated countries, testing capacity even after a year is still a limiting …Read more