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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 
 
THE VISION
THE MISSION
ABOUT I-STEM
It has always been the basic tenet of the Government of India, in generously funding R&D efforts at academic institutions over the years, that facilities established through such support be made available to those needing them and qualified to make use of them for their own research work
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However, this was never easy or straightforward for, among other reasons, there was no ready source of information of what facility was available and where. Thanks to the Web, it is much easier today to have a national and regional “inventory of resources”, so as to match users with the resources they need, and to do all this in an efficient and transparent manner.

This can lead to a leap in R&D productivity and greatly enhance the effectiveness of public investment. This is the motivation behind I-STEM.
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