Impact of COVID-19 Lockdowns on Air Quality in Bangladesh: Analysis and AQI Forecasting with Support Vector Regression-Reference-Cited by-同舟云学术

Impact of COVID-19 Lockdowns on Air Quality in Bangladesh: Analysis and AQI Forecasting with Support Vector Regression

Published:2023-05-26 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference for Emerging Technology (INCET)
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Author:

Hossain Mohammed Tahmid¹,Hossain Afra²,Meem Sabrina Masum¹,Monir Md Fahad¹,Ullah Miah Md Saef³,Bin Sarwar Talha⁴

Affiliation:

1. Independent University, Bangladesh,Department of CSC,Dhaka,Bangladesh

2. Independent University, Bangladesh,Department of CSE,Dhaka,Bangladesh

3. American International University-Bangladesh,Department of Computer Science, FST,Dhaka,Bangladesh

4. Universiti Malaysia Pahang,Faculty of Computing,Pekan,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10169136/10169900/10169997.pdf?arnumber=10169997

Reference16 articles.

1. Spatiotemporal Investigations of Multi-Sensor Air Pollution Data over Bangladesh during COVID-19 Lockdown

2. Statistical evaluation of selected air quality parameters influenced by covid-19 lockdown;masum;Global Journal of Environmental Science and Management,2020

3. Application of machine learning algorithms to predict the thyroid disease risk: an experimental comparative study

4. Time series forecasting with support vector regressor,0

5. How air quality and COVID-19 transmission change under different lockdown scenarios? A case from Dhaka city, Bangladesh

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