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Reliability Analysis of an IoT-Based Air Pollution Monitoring System Using Machine Learning Algorithm-BDBN Cover

Reliability Analysis of an IoT-Based Air Pollution Monitoring System Using Machine Learning Algorithm-BDBN

Cybernetics and Information Technologies
Volume 23 (2023): Issue 4 (November 2023)
By: Saritha and  V. Sarasvathi  
Open Access
|Nov 2023

Authors

Saritha

saritha.k@pes.edu

Department of Computer Science and Engineering, PESIT-Bangalore South Campus, Bangalore and Affiliated to Visvesvaraya Technological University, Belagavi, India

V. Sarasvathi

sarsvathiv@pes.edu

Department of Computer Science and Engineering, PESIT-Bangalore South Campus, Bangalore and Affiliated to Visvesvaraya Technological University, Belagavi, India
DOI: https://doi.org/10.2478/cait-2023-0046 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 233 - 250
Submitted on: Dec 13, 2022
Accepted on: Oct 16, 2023
Published on: Nov 30, 2023
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Air quality monitoring,
Metaheuristic optimization,
Machine learning,
Internet of Things,
Pollution monitoring scheme,
Cloud storage
Related subjects:
Computer sciences,
Information technology

© 2023 Saritha, V. Sarasvathi, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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