April 2022
Intermediate to advanced
516 pages
22h 32m
English
book
Artificial Intelligence and Machine Learning for EDGE Computing
by Rajiv Pandey, Sunil Kumar Khatri, Neeraj Kumar Singh, Parul Verma
Content preview from Artificial Intelligence and Machine Learning for EDGE Computing
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Chapter 21: COVID-19 prediction from chest X-ray images using deep convolutional neural network
Shambhavi Sharma Amity University, Noida, Uttar Pradesh, India
Abstract
One of the biggest challenges that the world is facing right now is the identification of COVID-19 infection, given no potential vaccine for the fast-spreading virus. Ongoing insights demonstrate that the number of individuals infected with COVID-19 is expanding exponentially, with more than 40 million confirmed cases around the world. One of the pivotal steps in battling COVID-19 is the capacity to recognize the infected patients sufficiently early and put them under isolation. One of the quickest approaches is to predict the illness from radiography and radiology pictures. ...
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