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

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

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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.

Volume 23 (2023): Issue 4 (November 2023)