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Impact Factor SJIF 2021(IJMR 8.047 & IJRD 8.013) Received,  DOI available on request to article , Indexed in Crossref Check ,ISI  Check. -Review Status: 2 Days, Online Publication: 1 Day, E-Certificate: Immediately-Submission Open for SEPTEMBER 2021 . Submit    
Vol : 7 , Issue : 6 , Month : June , Year : 2021
Journal Name : EPRA International Journal of Multidisciplinary Research (IJMR)
Title : A SURVEY ON DATA ANALYSIS APPROACH FOR EFFECTIVE CONTAINMENT TOWARDS PANDEMIC INFECTIONS USING NEURAL NETWORKS
DOI : https://doi.org/10.36713/epra7553
Author names : Anix Mary Javitha. A,Dr. Mary Livinsa. Z
Abstract : This Covid-19 is a new pandemic infectious era for our human life, in order to deal with it in proper manner, the necessity and importance of data analysis research reports, models, approaches are of the basic requirements for our sustainable, patience and stress less future. Neural network model organization and development with proper incorporation of pandemic condition parameters with maximum level of accuracy and efficiency are the main issues related with data analysis in pandemic infection containment. The implementation of neural networks techniques associated with data analysis approaches will be the best combination in this research area in near future.
Keywords : Neural networks, Covid-19, Pandemic ,Data analysis, Containment.
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