Covid Detection using Machine Learning

Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9857

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DC Field	Value	Language
dc.contributor.author	Thakur, Saksham	-
dc.contributor.author	Sharma, Abhishek	-
dc.contributor.author	Verma, Ruchi [Guided by]	-
dc.date.accessioned	2023-09-04T04:56:53Z	-
dc.date.available	2023-09-04T04:56:53Z	-
dc.date.issued	2023	-
dc.identifier.uri	http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9857	-
dc.description	Enrolment No. 191245, 191258	en_US
dc.description.abstract	With its origins in China, the 2019 new coronavirus illness (corona) spread quickly among residents of other nations and adversely affected the entire world. Due to the daily rise in cases, hospitals only have a small supply of corona test kits. In order to stop the spread of corona among people, it is required to build an automatic detection system as a quick alternative diagnosis option. In this study, VGG16 based on pre-trained convolutional neural networks have been suggested for the detection of coronavirus pneumonia infected patients utilising chest radiography radiographs	en_US
dc.language.iso	en_US	en_US
dc.publisher	Jaypee University of Information Technology, Solan, H.P.	en_US
dc.subject	Coronavirus	en_US
dc.subject	Genetic algorithms	en_US
dc.subject	Neural networks	en_US
dc.subject	Viral pneumonitis	en_US
dc.title	Covid Detection using Machine Learning	en_US
dc.type	Project Report	en_US
Appears in Collections:	B.Tech. Project Reports

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Covid Detection using Machine Learning.pdf		4.21 MB	Adobe PDF	View/Open