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Applicant:
Central University of Tamil Nadu 
Author:
Dr Martin Aruldoss, Mr.Enoch Arulprakash 
Corresponding Authors:
Mr.Enoch Arulprakash 
DOI #:
https://doi.org/10.1007/s42979-020-00301-0 
Title:
A Study on Fight Against COVID‑19 from Latest Technological Intervention 
Journal:
Springer Nature: SN Computer Science 
Year:
2020 
Volume:
Page:
277 
Keywords:
Technological intervention, Artificial intelligence, Data analytics, Machine learning, Object detection 
Abstract:
Uncontrolled spread of pandemic COVID-19 in India and across the globe over several months, created an impact as never before any pandemic would have created. This certainly demands a technological intervention from all possibility to overcome the situation and lead a normal life as early as possible. AI/Machine learning responds to the situation, through inspecting different aspects of the pandemic. This paper analyses and studies those aspects, (I) Quarantine and statistical aspect: Quarantine potentially affected candidates (person who is in touch, travel history) through Data analytics/Machine learning. (II) Diagnosis and Treatment aspect: Early detection and fast treatment will save lives. Diagnosis using deep learning assists radiologist from saving their effort and time to a greater extent and arrives faster conclusion. (III) Prevention aspect: Monitoring and enforce social distancing through visual social distancing using deep learning and Computer vision. 
Entered by:
Martin Aruldoss on 2020-09-03 
 
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