Eff-AQI: An Efficient CNN-Based Model for Air Pollution Estimation: A Study Case in India

Author:

Utomo Sapdo1ORCID,Rouniyar Adarsh2ORCID,Jiang Guo Hao2ORCID,Chang Chun Hao2ORCID,Tang Kai Chun2ORCID,Hsu Hsiu-Chun3ORCID,Hsiung Pao-Ann2ORCID

Affiliation:

1. Graduate Institute of Ambient Intelligence and Smart Systems, National Chung Cheng University, Taiwan

2. Department of Computer Science and Information Engineering, National Chung Cheng University, Taiwan

3. Department of Information Management, National Chung Cheng University, Taiwan

Funder

National Science and Technology Council, Taiwan

Publisher

ACM

Reference32 articles.

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2. [n. d.]. National Air Quality Index. https://app.cpcbccr.com/AQI_India/ [n. d.]. National Air Quality Index. https://app.cpcbccr.com/AQI_India/

3. [n. d.]. World Bank Open Data. https://data.worldbank.org [n. d.]. World Bank Open Data. https://data.worldbank.org

4. Syed Zagam Abbas , Anila Kousar , Sohail Razzaq , Amir Saeed , Mehboob Alam , and Anzar Mahmood . 2018. Energy management in South Asia. Energy Strategy Reviews 21 (Aug . 2018 ), 25–34. https://doi.org/10.1016/j.esr.2018.04.004 10.1016/j.esr.2018.04.004 Syed Zagam Abbas, Anila Kousar, Sohail Razzaq, Amir Saeed, Mehboob Alam, and Anzar Mahmood. 2018. Energy management in South Asia. Energy Strategy Reviews 21 (Aug. 2018), 25–34. https://doi.org/10.1016/j.esr.2018.04.004

5. Increased average annual prevalence of upper respiratory tract infection (UTRI) in the central Indian population residing near the coal-fired thermal power plants

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