Indoor occupancy estimation using carbon dioxide concentration and neural network with random weights

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Indoor occupancy estimation using carbon dioxide concentration and neural network with random weights

This study presents the indoor occupancy estimation using carbon dioxide concentration and neural network with random weights (NNRW). The utilization of carbon dioxide concentration is as an alternative to overcome the limitation of existing techniques, such as dependency to favourable lighting cond...

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Bibliographic Details
Main Authors:	Muhammad Faris, Ramli, Kishendran, Muniandy, Asrul, Adam, Ahmad Fakhri, Ab. Nasir, Mohd Ibrahim, Shapiai
Format:	Conference or Workshop Item
Language:	English
Published:	IOP Publishing 2020
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/27768/ http://umpir.ump.edu.my/id/eprint/27768/13/Indoor%20occupancy%20estimation%20using%20carbon%20dioxide.pdf

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