UGC Approved Journal no 63975

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

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1908C03


Registration ID:
236166

Page Number

10-15

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Title

Novel Concept of Air Pollution Determination using Machine Learning and Sub-Index Calculation

Abstract

In the previous two years, the database – presently covering in excess of 4300 urban areas and settlements in 108 nations – has about multiplied, with an ever increasing number of areas estimating air pollution levels and perceiving the related wellbeing impacts. In the proposed work , we have conceived the idea of the Air Quality Index count and expectation for the specific date utilizing the idea of the machine learning of the information and Naive Bayes algorithm for the dynamic the forecast procedure.

Key Words

Air Pollution, Air Quality Index

Cite This Article

"Novel Concept of Air Pollution Determination using Machine Learning and Sub-Index Calculation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.10-15, June-2019, Available :http://www.jetir.org/papers/JETIR1908C03.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

"Novel Concept of Air Pollution Determination using Machine Learning and Sub-Index Calculation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp10-15, June-2019, Available at : http://www.jetir.org/papers/JETIR1908C03.pdf

Publication Details

Published Paper ID: JETIR1908C03
Registration ID: 236166
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 10-15
Country: Jaipur, Rajasthan, India .
Area: Engineering
ISSN Number: 2349-5162


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