Please use this identifier to cite or link to this item:
http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9857| Title: | Covid Detection using Machine Learning |
| Authors: | Thakur, Saksham Sharma, Abhishek Verma, Ruchi [Guided by] |
| Keywords: | Coronavirus Genetic algorithms Neural networks Viral pneumonitis |
| Issue Date: | 2023 |
| Publisher: | Jaypee University of Information Technology, Solan, H.P. |
| 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 |
| Description: | Enrolment No. 191245, 191258 |
| URI: | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9857 |
| Appears in Collections: | B.Tech. Project Reports |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Covid Detection using Machine Learning.pdf | 4.21 MB | Adobe PDF | View/Open |
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