UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2006575


Registration ID:
234885

Page Number

1709-1717

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Title

A Machine Learning (ML) Modelling Approach in Monitoring and Controlling the Viral Pandemic- COVID 19

Abstract

As the world grapples with COVID-19, every ounce of technological innovation and ingenuity harnessed to fight this pandemic brings us one step closer to overcoming it. Artificial intelligence (AI) and machine learning are playing a key role in better understanding and addressing the COVID-19 crisis. Machine learning technology enables computers to mimic human intelligence and ingest large volumes of data to quickly identify patterns and insights. In the fight against COVID-19, organizations have been quick to apply their machine learning expertise in several areas: scaling customer communications, understanding how COVID-19 spreads, and speeding up research and treatment.

Key Words

COVID 19, Machine Learning, Quarantine, Pandemic, Classification, Clustering, Time Series, Regression, Sentiment Analysis.

Cite This Article

"A Machine Learning (ML) Modelling Approach in Monitoring and Controlling the Viral Pandemic- COVID 19", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.1709-1717, June 2020, Available :http://www.jetir.org/papers/JETIR2006575.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A Machine Learning (ML) Modelling Approach in Monitoring and Controlling the Viral Pandemic- COVID 19", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp1709-1717, June 2020, Available at : http://www.jetir.org/papers/JETIR2006575.pdf

Publication Details

Published Paper ID: JETIR2006575
Registration ID: 234885
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier):
Page No: 1709-1717
Country: Changanassery, Kerala, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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