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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| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/92705/1/MohdIbrahimShapiai2020_IndoorOccupancyEstimationUsingCarbonDioxide.pdf http://eprints.utm.my/id/eprint/92705/ http://dx.doi.org/10.1088/1757-899X/769/1/012011 |
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