Analyzing area-wise air pollution level using machine learning for a better future
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
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| フォーマット: | 学位論文 |
| 言語: | English |
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Brac University
2021
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| オンライン･アクセス: | http://hdl.handle.net/10361/15761 |
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10361-15761 |
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10361-157612022-01-26T10:23:16Z Analyzing area-wise air pollution level using machine learning for a better future Sihan, Sk. Atik Tajwar Rabbani, Maisha Agarwala, Manish Maliha, Sanjida Alam Islam, Md. Saiful Department of Computer Science and Engineering, Brac University Environment Air pollution Pollutants Linear regression Facebook Prophet RNN LSTM ARIMA Machine learning This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. Cataloged from PDF version of thesis. Includes bibliographical references (pages 23-24). Environment consists of nature and surroundings where all living beings co-exist. Harming the environment will in turn harm all living and non-living things alike. One of the major concerns of environment pollution is air pollution, which affects human health, vegetation and aquatic life. However, in developing countries like Bangladesh, air pollution is not considered a major issue. It is mostly caused by the release of harmful gases into the atmosphere. Our goal is to develop a model using machine learning which will determine the level of air pollution in a particular area, detect elements which cause air pollution and predict future pollution level. Algorithms such as Linear Regression, Facebook Prophet, RNN and ARIMA models have been used throughout the course of this study. From RNN we have used LSTM model for prediction which uses special units as well as standard units. With these models we have predicted the pollutant emission rate for analyzing the area-wise pollution rate. We have used different type of algorithms to successfully get the optimum result and to get the fi nal result with less error. This will help to analyze the overall air pollution condition which will help to take necessary steps accordingly. Sk. Atik Tajwar Sihan Maisha Rabbani Manish Agarwala Sanjida Alam Maliha B. Computer Science 2021-12-26T06:26:03Z 2021-12-26T06:26:03Z 2021 2021-09 Thesis ID 17301109 ID 19201123 ID 17301120 ID 20301453 http://hdl.handle.net/10361/15761 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 24 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Environment Air pollution Pollutants Linear regression Facebook Prophet RNN LSTM ARIMA Machine learning |
| spellingShingle |
Environment Air pollution Pollutants Linear regression Facebook Prophet RNN LSTM ARIMA Machine learning Sihan, Sk. Atik Tajwar Rabbani, Maisha Agarwala, Manish Maliha, Sanjida Alam Analyzing area-wise air pollution level using machine learning for a better future |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. |
| author2 |
Islam, Md. Saiful |
| author_facet |
Islam, Md. Saiful Sihan, Sk. Atik Tajwar Rabbani, Maisha Agarwala, Manish Maliha, Sanjida Alam |
| format |
Thesis |
| author |
Sihan, Sk. Atik Tajwar Rabbani, Maisha Agarwala, Manish Maliha, Sanjida Alam |
| author_sort |
Sihan, Sk. Atik Tajwar |
| title |
Analyzing area-wise air pollution level using machine learning for a better future |
| title_short |
Analyzing area-wise air pollution level using machine learning for a better future |
| title_full |
Analyzing area-wise air pollution level using machine learning for a better future |
| title_fullStr |
Analyzing area-wise air pollution level using machine learning for a better future |
| title_full_unstemmed |
Analyzing area-wise air pollution level using machine learning for a better future |
| title_sort |
analyzing area-wise air pollution level using machine learning for a better future |
| publisher |
Brac University |
| publishDate |
2021 |
| url |
http://hdl.handle.net/10361/15761 |
| work_keys_str_mv |
AT sihanskatiktajwar analyzingareawiseairpollutionlevelusingmachinelearningforabetterfuture AT rabbanimaisha analyzingareawiseairpollutionlevelusingmachinelearningforabetterfuture AT agarwalamanish analyzingareawiseairpollutionlevelusingmachinelearningforabetterfuture AT malihasanjidaalam analyzingareawiseairpollutionlevelusingmachinelearningforabetterfuture |
| _version_ |
1814309783084204032 |