UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 3 | March 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 8 Issue 4
April-2021
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2104260


Registration ID:
308371

Page Number

430-434

Share This Article


Jetir RMS

Title

COVID-19 Epidemic Analysis using Deep Neural Network

Abstract

coronavirus (COVID-19) is an irritation infection from another infection. The infection causes respiratory disease (like flu) with indications, for instance, cool, hack and fever, and in logically genuine cases, the issue in relaxing. COVID-2019 has been seen as an overall pandemic and a couple of assessments are being driven using distinctive numerical models to foresee the presumable headway of this epidemic. These numerical models subject to various components and examinations are needy upon likely tendency. Here, we introduced a model that could be helpful to foresee the spread of COVID-2019. We have performed direct relapse, Multilayer perceptron and Vector auto regression strategy for want on the COVID-19 Kaggle information to envision the epidemiological case of the infirmity and pace of COVID-2019 cases in India. Foreseen the expected examples of COVID-19 impacts in India reliant on information accumulated from Kaggle. With the regular information about affirmed, demise and recuperated cases across India for over the time length helps in foreseeing and assessing the not all that removed future. For additional evaluation or future point of view, case definition and information mix must be kept up determinedly.

Key Words

covid-19, preprocessing, classifier algorithm ,feature extraction Convolutional neural network(CNN)etc.

Cite This Article

"COVID-19 Epidemic Analysis using Deep Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.430-434, April-2021, Available :http://www.jetir.org/papers/JETIR2104260.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

"COVID-19 Epidemic Analysis using Deep Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp430-434, April-2021, Available at : http://www.jetir.org/papers/JETIR2104260.pdf

Publication Details

Published Paper ID: JETIR2104260
Registration ID: 308371
Published In: Volume 8 | Issue 4 | Year April-2021
DOI (Digital Object Identifier):
Page No: 430-434
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000493

Print This Page

Current Call For Paper

Jetir RMS