An Application of linear Regression on Air Pollution Detection Using Deep Learning-Reference-Cited by-同舟云学术

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An Application of linear Regression on Air Pollution Detection Using Deep Learning

Published:2022-06-09 Issue: Volume: Page:
ISSN:
Container-title:2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)
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Author:

Mustafa M. Mohammed¹,Umamaheswari S.²,Khalifa Ahmed A.³,Mokhtar Bassem³,Cengiz Korhan³

Affiliation:

1. Sri Krishna College of Engineering & Technology,Department of Information Technology,Coimbatore,India

2. C. Abdul Hakeem College of Engineering & Technology,Department of Information Technology,Vellore,India

3. College of Information Technology, University of Fujairah,Department of Networking and Security,Fujairah,UAE

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9799780/9799803/09800042.pdf?arnumber=9800042

Reference17 articles.

1. Field calibration of a cluster of low-cost commercially available sensors for air quality monitoring. Part B: NO, CO and CO2

2. Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates?

3. Development of an IoT environmental monitoring application with a novel middleware for resource constrained devices;gaglio;Proceedings of the 2nd Conference on Mobile and Information Technologies in Medicine (MobileMed 2014),0

4. Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015

5. A Machine Learning Approach for Air Quality Prediction: Model Regularization and Optimization

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