architecture
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
Related questions
Question
![According to Daily Mail, scientists have built a mobile app that helps
detect the virus through cough patterns via audio. ResApp, the app's
name, uses machine learning to achieve that. The app has even gone through
testing participated by 741 patients in the US and India. At last, results
revealed that it reaches 92 per cent of accuracy by correctly detecting
the patients having the virus in them. In follow-up tests, the researchers
continue to test it with patients with other respiratory conditions,
including asthma, pneumonia and respiratory tract infections. It shows
that it can reach 90 per cent specificity for COVID-19.
The app is said to be initially deployed in settings where frequent COVID-
19 tests are required. Those include travel, sports, entertainment, and
healthcare settings. Professor Catherine Bennett, a member of ResApp's
Covid-19 Scientific Advisory Board, says that "the simplicity, ease of
use and unlimited scalability of ResApp's test will be welcomed by public
health officials around the world."
Figure Q2
(c) Suggest any other architecture that
is suitable for ResApp. Provide ONE (1)
justification.
TechNave](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F5915e225-7260-4e29-b3a4-94bc502c1b17%2F2a021c6a-78ec-4374-97ba-2862fa29e498%2F442nly_processed.png&w=3840&q=75)
Transcribed Image Text:According to Daily Mail, scientists have built a mobile app that helps
detect the virus through cough patterns via audio. ResApp, the app's
name, uses machine learning to achieve that. The app has even gone through
testing participated by 741 patients in the US and India. At last, results
revealed that it reaches 92 per cent of accuracy by correctly detecting
the patients having the virus in them. In follow-up tests, the researchers
continue to test it with patients with other respiratory conditions,
including asthma, pneumonia and respiratory tract infections. It shows
that it can reach 90 per cent specificity for COVID-19.
The app is said to be initially deployed in settings where frequent COVID-
19 tests are required. Those include travel, sports, entertainment, and
healthcare settings. Professor Catherine Bennett, a member of ResApp's
Covid-19 Scientific Advisory Board, says that "the simplicity, ease of
use and unlimited scalability of ResApp's test will be welcomed by public
health officials around the world."
Figure Q2
(c) Suggest any other architecture that
is suitable for ResApp. Provide ONE (1)
justification.
TechNave
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