An Intelligent and Secure Air Quality Monitoring System Using Neural Network Algorithm and Blockchain-Reference-Cited by-同舟云学术

An Intelligent and Secure Air Quality Monitoring System Using Neural Network Algorithm and Blockchain

Published:2022-04-04 Issue: Volume: Page:1-14
ISSN:0377-2063
Container-title:IETE Journal of Research
language:en
Short-container-title:IETE Journal of Research

Author:

Siddique Abu Buker¹,Kazmi Rafaqat¹,Khan Habib Ullah²^ORCID,Ali Sikandar³^ORCID,Samad Ali⁴^ORCID,Javaid Gulraiz¹

Affiliation:

1. Department of Software Engineering, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan

2. Department of Accounting and Information Systems, College of Business and Economics, Qatar University, Doha, 2713, Qatar

3. Department of Information Technology, The University of Haripur, Haripur 22620, Khyber Pakhtunkhwa, Pakistan

4. Faculty of Computing, Department of Computer Sciences, The Islamia University of Bahawalpur, Bahawalpur, 63100, Pakistan

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/03772063.2022.2052984

Reference34 articles.

1. W. H. Organization. “7 million premature deaths annually linked to air pollution.” Available: https://www.who.int/mediacentre/news/releases/2014/air-pollution/en/ (accessed.

2. Mobile monitoring for mapping spatial variation in urban air quality: Development and validation of a methodology based on an extensive dataset

3. Real-time air quality monitoring through mobile sensing in metropolitan areas

4. MAQS

5. Smart Sensors Network for Air Quality Monitoring Applications

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