Indoor occupancy detection using machine learning and environmental sensors / Akindele Segun Afolabi ... [et al.]

Detecting the occupancy status of enclosed spaces has been immensely beneficial in the automated control of HVACs (heating, ventilation, and cooling systems), providing assistance to the elderly, healthcare provisioning, recognition of human activity, and others. As a result of these benefits, a ple...

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Bibliographic Details

Main Authors:	Afolabi, Akindele Segun, Akinola, Olubunmi Adewale, Odetoye, Oyinlolu Ayomidotun, Adetiba, Emmanuel
Format:	Article
Language:	en
Published:	Universiti Teknologi MARA, Sarawak 2025
Subjects:	T Technology (General) Occupational Health Environmental protection
Online Access:	https://ir.uitm.edu.my/id/eprint/113237/1/113237.pdf https://ir.uitm.edu.my/id/eprint/113237/ https://jsst.uitm.edu.my/index.php/jsst
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