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Acta Scientific Computer Sciences

Review Article Volume 2 Issue 8

To be or Not to be after Virus Attack

Amir Reza Shahbazkia* and Sara Bahrami Vala

Department of Management Information System, Computer Data Science, Girne American University, Cyprus

*Corresponding Author: Amir Reza Shahbazkia, Department of Management Information System, Computer Data Science, Girne American University, Cyprus.

Received: July 22, 2020; Published: August 19, 2020

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Abstract

 Virus fighting are going to become a common and convenient means for human to will be survived. More-and-more Viruses are kept on arriving over the world, forcing human to increase the set of knowledge and using intelligent data to predict and decide more accurately and correctly. The availability of different new viruses increase the complexity of discovery as well as the selection process to overcome them. In this research we are sharing our results from data science to fight against the new generation of viruses. Our data consist of human prediction by iridology, human genes, the data obtained in last few months about the new generation of viruses. At the end we try to offer the ways which human can fight with these viruses. By decreasing the probability of virus fusion in the body and some other useful ways.

Keywords: Iridology; Virus Fusion; Electro Static

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Citation

Citation: Amir Reza Shahbazkia and Sara Bahrami Vala. “To be or Not to be after Virus Attack". Acta Scientific Computer Sciences 2.9 (2020): 21-23.




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Acceptance rate35%
Acceptance to publication20-30 days

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