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2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation, ICAECA 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1714038

ABSTRACT

The economy of numerous nations has been influenced a great deal because of a viral sickness Corona infection. The virus has spread all over the world and many people have lost their sustenance. Many researches are carried out to find the vaccine for the virus but still there is a problem in prediction of COVID affected people. Most victims don't have any symptoms and they adopt their usual lifestyle, which in turn affects the surroundings by the spread of virus from the victim. The work focuses on foreseeing the COVID influenced casualty from the chest X beam picture. The profound Convolutional Neural Network calculation is utilized to foresee something similar. The accuracy of the algorithm clearly highlights the efficiency of prediction of the disease. © 2021 IEEE.

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