An Exploratory Analysis of Delhi Air Quality Using Statistics and Machine Learning Models-Reference-Cited by-同舟云学术

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An Exploratory Analysis of Delhi Air Quality Using Statistics and Machine Learning Models

Published:2022-12-21 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)
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Author:

Chakravarty Anwesha¹,S Siva Sathya.¹^ORCID,S Sharmiladevi.¹^ORCID

Affiliation:

1. Pondicherry University,Department of Computer Science,Puducherry,India

Funder

Council of Scientific & Industrial Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10117603/10119237/10119423.pdf?arnumber=10119423

Reference23 articles.

1. Correlation between air pollutants concentration and meteorological factors on seasonal air quality variation

2. Unexpected air pollution with marked emission reductions during the COVID-19 outbreak in China

3. Exploring spatiotemporal patterns of PM2.5 in China based on ground-level observations for 190 cities

4. Closed Pattern Mining And Causal Analysis Of Pollution Data;sharmiladevi;Indian Journal of Environmental Protection,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spatio-temporal patterns assisted deep learning model for PM2.5 prediction (STEEP);Intelligent Data Analysis;2024-06-11

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