Ali A. Aboodee, Alzaheiree (2025) ADVANCED AIR QUALITY MONITORING SYSTEM (AAQM) USING ENSEMBLE ALGORITHMS. Journal of Adaptive Learning Technologies, 2 (8). pp. 23-28. ISSN 2997-3902

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Abstract

Air pollution is very dangerous for human health. Nowadays many steps are taking by the government to overcome air pollution and improve air quality. Embedded is the updated technology that is used to improve the performance of air quality. The Enhanced system uses the integrated functions which are associated with it. The Ensemble system reduces manpower, saves time and operates efficiently without human interference. The proposed system detects the various dangerous gases and detects the air quality. Results show the processing of sensors and the working of the system.

Item Type:	Article
Subjects:	Q Science > Q Science (General)
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	11 Oct 2025 05:28
Last Modified:	11 Oct 2025 05:28
URI:	http://eprints.umsida.ac.id/id/eprint/16424

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