Air Quality Index prediction using machine learning for Ahmedabad city
Prediction of air pollution index may help in traffic routing and identifying serious pollutants. Modeling of the complex relationships between these variables by sophisticated methods in machine learning is a promising field. The objective of this work is to compare the various machine learning met...
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Format: | Article |
Language: | English |
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Elsevier
2023-06-01
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Series: | Digital Chemical Engineering |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S277250812300011X |
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author | Nilesh N. Maltare Safvan Vahora |
author_facet | Nilesh N. Maltare Safvan Vahora |
author_sort | Nilesh N. Maltare |
collection | DOAJ |
description | Prediction of air pollution index may help in traffic routing and identifying serious pollutants. Modeling of the complex relationships between these variables by sophisticated methods in machine learning is a promising field. The objective of this work is to compare the various machine learning methods such as SARIMA, SVM and LSTM for the prediction of air quality index for Ahmedabad city of Gujarat, India. In this research, different preprocessing methods are used to manage the data before providing to the machine learning models. This study is carried out based on the data provided by the Central Pollution Control Board of India and it focuses on the support vector machine algorithm with RBF kernel model. So, that the results availed are comparatively better as compared to other kernels of the support vector machine models as well as SARIMA and LSTM models for Ahmedabad city. |
first_indexed | 2024-03-13T10:02:12Z |
format | Article |
id | doaj.art-6bde3345ece44f728d729023ec0a5b6f |
institution | Directory Open Access Journal |
issn | 2772-5081 |
language | English |
last_indexed | 2024-03-13T10:02:12Z |
publishDate | 2023-06-01 |
publisher | Elsevier |
record_format | Article |
series | Digital Chemical Engineering |
spelling | doaj.art-6bde3345ece44f728d729023ec0a5b6f2023-05-23T04:22:24ZengElsevierDigital Chemical Engineering2772-50812023-06-017100093Air Quality Index prediction using machine learning for Ahmedabad cityNilesh N. Maltare0Safvan Vahora1Government Engineering College, Modasa, 383315, Gujarat, IndiaCorresponding author.; Government Engineering College, Modasa, 383315, Gujarat, IndiaPrediction of air pollution index may help in traffic routing and identifying serious pollutants. Modeling of the complex relationships between these variables by sophisticated methods in machine learning is a promising field. The objective of this work is to compare the various machine learning methods such as SARIMA, SVM and LSTM for the prediction of air quality index for Ahmedabad city of Gujarat, India. In this research, different preprocessing methods are used to manage the data before providing to the machine learning models. This study is carried out based on the data provided by the Central Pollution Control Board of India and it focuses on the support vector machine algorithm with RBF kernel model. So, that the results availed are comparatively better as compared to other kernels of the support vector machine models as well as SARIMA and LSTM models for Ahmedabad city.http://www.sciencedirect.com/science/article/pii/S277250812300011XAir Quality IndexPollutionMachine learningSupport Vector MachineLSTMSARIMA |
spellingShingle | Nilesh N. Maltare Safvan Vahora Air Quality Index prediction using machine learning for Ahmedabad city Digital Chemical Engineering Air Quality Index Pollution Machine learning Support Vector Machine LSTM SARIMA |
title | Air Quality Index prediction using machine learning for Ahmedabad city |
title_full | Air Quality Index prediction using machine learning for Ahmedabad city |
title_fullStr | Air Quality Index prediction using machine learning for Ahmedabad city |
title_full_unstemmed | Air Quality Index prediction using machine learning for Ahmedabad city |
title_short | Air Quality Index prediction using machine learning for Ahmedabad city |
title_sort | air quality index prediction using machine learning for ahmedabad city |
topic | Air Quality Index Pollution Machine learning Support Vector Machine LSTM SARIMA |
url | http://www.sciencedirect.com/science/article/pii/S277250812300011X |
work_keys_str_mv | AT nileshnmaltare airqualityindexpredictionusingmachinelearningforahmedabadcity AT safvanvahora airqualityindexpredictionusingmachinelearningforahmedabadcity |