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
Saved in:
Main Authors: | Marufuzzaman M., Tumbraegel T., Rahman L.F., Sidek L.M. |
---|---|
Other Authors: | 57205234835 |
Format: | Article |
Published: |
IOS Press BV
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Developing an ensembled machine learning prediction model for marine fish and aquaculture production
by: Rahman L.F., et al.
Published: (2023) -
Application of Machine Learning to Investigate the Impact of Climatic Variables on Marine Fish Landings
by: Rahman L.F., et al.
Published: (2023) -
Predicting homebuyers’ intentions of inhabiting eco-friendly homes: The case of a developing country
by: Tan, Teck-Hong *
Published: (2012) -
Sponges of Tioman and their actinomycetes inhabitants
by: Sabaratnam, Vikineswary, et al.
Published: (2008) -
Machine Learning Regression Approach for Estimating Energy Consumption of Appliances in Smart Home
by: Husin N.S.I.M., et al.
Published: (2024)