A machine learning approach to predict the activity of smart home inhabitant

Ambient intelligence; Automation; Decision trees; Domestic appliances; Forecasting; Turing machines; Hardware prototype; Input-output; Machine learning approaches; Noise filters; Prediction systems; Smart homes; Machine learning

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Bibliographic Details
Main Authors: Marufuzzaman M., Tumbraegel T., Rahman L.F., Sidek L.M.
Other Authors: 57205234835
Format: Article
Published: IOS Press BV 2023
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Institution: Universiti Tenaga Nasional