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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
INTI International University
2024
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| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/2110/ http://eprints.intimal.edu.my/2110/2/648 http://eprints.intimal.edu.my/2110/3/joit2024_48b.pdf |
| _version_ | 1848766922930257920 |
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| author | Keerthana, G. UshaSree, R. |
| author_facet | Keerthana, G. UshaSree, R. |
| author_sort | Keerthana, G. |
| building | INTI Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T11:58:51Z |
| format | Article |
| id | intimal-2110 |
| institution | INTI International University |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T11:58:51Z |
| publishDate | 2024 |
| publisher | INTI International University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | intimal-21102025-07-12T04:05:46Z 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/2110/2/648 text en cc_by_4 http://eprints.intimal.edu.my/2110/3/joit2024_48b.pdf 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 |
| 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 |
| title | 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_short | Air Quality Prediction Using RNN and LSTM |
| title_sort | air quality prediction using rnn and lstm |
| topic | GE Environmental Sciences T Technology (General) TA Engineering (General). Civil engineering (General) TD Environmental technology. Sanitary engineering |
| url | http://eprints.intimal.edu.my/2110/ http://eprints.intimal.edu.my/2110/ http://eprints.intimal.edu.my/2110/2/648 http://eprints.intimal.edu.my/2110/3/joit2024_48b.pdf |