Staff View: Air Quality Prediction Using RNN and LSTM

Air Quality Prediction Using RNN and LSTM

Estimates of discuss quality that are rectify are basic to natural administration and open wellbeing. The perplexing transient relationships in discuss quality estimations have demonstrated troublesome for conventional approaches to get it. This paper evaluates the discuss quality expectation exe...

Full description

Saved in:

Bibliographic Details
Main Authors:	Keerthana, G., UshaSree, R.
Format:	Article
Language:	English English
Published:	INTI International University 2024
Subjects:	GE Environmental Sciences T Technology (General) TA Engineering (General). Civil engineering (General) TD Environmental technology. Sanitary engineering
Online Access:	http://eprints.intimal.edu.my/2110/1/joit2024_48.pdf http://eprints.intimal.edu.my/2110/2/648 http://eprints.intimal.edu.my/2110/ http://ipublishing.intimal.edu.my/joint.html
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-inti-eprints.2110
record_format	eprints
spelling	my-inti-eprints.21102024-12-30T03:03:00Z http://eprints.intimal.edu.my/2110/ Air Quality Prediction Using RNN and LSTM Keerthana, G. UshaSree, R. GE Environmental Sciences T Technology (General) TA Engineering (General). Civil engineering (General) TD Environmental technology. Sanitary engineering Estimates of discuss quality that are rectify are basic to natural administration and open wellbeing. The perplexing transient relationships in discuss quality estimations have demonstrated troublesome for conventional approaches to get it. This paper evaluates the discuss quality expectation execution of repetitive neural systems (RNNs), in specific long short-term memory (LSTM) systems. Taking into account factors like contaminants and climate designs, LSTM models look at authentic information on discuss contamination. Since these models are able to capture long-term conditions and oversee non-linear associations, they outflank customary strategies in recognizing designs and connections between factors. Our discoveries appear that LSTMs have a extraordinary bargain of potential for discuss contamination expectation. INTI International University 2024-12 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/2110/1/joit2024_48.pdf text en cc_by_4 http://eprints.intimal.edu.my/2110/2/648 Keerthana, G. and UshaSree, R. (2024) Air Quality Prediction Using RNN and LSTM. Journal of Innovation and Technology, 2024 (48). ISSN 2805-5179 http://ipublishing.intimal.edu.my/joint.html
institution	INTI International University
building	INTI Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	INTI International University
content_source	INTI Institutional Repository
url_provider	http://eprints.intimal.edu.my
language	English English
topic	GE Environmental Sciences T Technology (General) TA Engineering (General). Civil engineering (General) TD Environmental technology. Sanitary engineering
spellingShingle	GE Environmental Sciences T Technology (General) TA Engineering (General). Civil engineering (General) TD Environmental technology. Sanitary engineering Keerthana, G. UshaSree, R. Air Quality Prediction Using RNN and LSTM
description	Estimates of discuss quality that are rectify are basic to natural administration and open wellbeing. The perplexing transient relationships in discuss quality estimations have demonstrated troublesome for conventional approaches to get it. This paper evaluates the discuss quality expectation execution of repetitive neural systems (RNNs), in specific long short-term memory (LSTM) systems. Taking into account factors like contaminants and climate designs, LSTM models look at authentic information on discuss contamination. Since these models are able to capture long-term conditions and oversee non-linear associations, they outflank customary strategies in recognizing designs and connections between factors. Our discoveries appear that LSTMs have a extraordinary bargain of potential for discuss contamination expectation.
format	Article
author	Keerthana, G. UshaSree, R.
author_facet	Keerthana, G. UshaSree, R.
author_sort	Keerthana, G.
title	Air Quality Prediction Using RNN and LSTM
title_short	Air Quality Prediction Using RNN and LSTM
title_full	Air Quality Prediction Using RNN and LSTM
title_fullStr	Air Quality Prediction Using RNN and LSTM
title_full_unstemmed	Air Quality Prediction Using RNN and LSTM
title_sort	air quality prediction using rnn and lstm
publisher	INTI International University
publishDate	2024
url	http://eprints.intimal.edu.my/2110/1/joit2024_48.pdf http://eprints.intimal.edu.my/2110/2/648 http://eprints.intimal.edu.my/2110/ http://ipublishing.intimal.edu.my/joint.html
_version_	1819915650332622848
score	13.223943

Air Quality Prediction Using RNN and LSTM

Similar Items