A Machine Learning-driven IoT Architecture for Predicting the Growth and Trend of Covid-19 Epidemic Outbreaks to Identify High-risk Locations-Reference-Cited by-同舟云学术

A Machine Learning-driven IoT Architecture for Predicting the Growth and Trend of Covid-19 Epidemic Outbreaks to Identify High-risk Locations

Published:2023-01-26 Issue: Volume: Page:
ISSN:
Container-title:2023 20th Learning and Technology Conference (L&T)
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Author:

Kumar. J Charles Rajesh¹,Arunsi. B Mary²,Majid M. A.¹

Affiliation:

1. Effat University,College of Engineering,Department of Electrical and Computer Engineering,Jeddah,Saudi Arabia

2. Chinmaya Mission Hospital,Bengaluru,Karnataka,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10092280/10092282/10092331.pdf?arnumber=10092331

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4. Internet of things-for a smart and ubiquitous ehealth system;c;IEEE 2015 International-Conference on Computational-Intelligence and Communication Networks (CICN),2015

5. Internet of image things-discrete wavelet transform and Gabor wavelet transform based image enhancement resolution technique for IoT satellite applications

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