Detection of COVID-19 using CoviNet and VGG-16 Models-Reference-Cited by-同舟云学术

Detection of COVID-19 using CoviNet and VGG-16 Models

Published:2023-03-18 Issue: Volume: Page:
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Container-title:2023 3rd International conference on Artificial Intelligence and Signal Processing (AISP)
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Author:

Karaddi Sahebgoud Hanamantray¹,Srilakshmi K.¹,Sharma Lakhan Dev¹,Sharma Diksha²,Singh Ram Sewak³

Affiliation:

1. VIT-AP University,School of Electronics Engineering,Amaravati,India

2. Central University of Jharkhand,Department of Nanoscience and Technology,Ranchi,India

3. Adama Science and Technology University,Department of Electronics and Communication Engineering,Adama,Ethopia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10134757/10134565/10134870.pdf?arnumber=10134870

Reference35 articles.

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2. COVID-19 Detection Empowered with Machine Learning and Deep Learning Techniques: A Systematic Review

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4. Minimized feature overhead malware detection machine learn-ing model employing mrmr-based ranking;singh;Concurrency and Computation Practice and Experience,2022

5. Covid-net: A tailored deep convolutional neural network design for detection of covid-19 cases from chest x-ray images;wang;Scientific Reports,2020

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