Selecting Embedded Feature Modeling with Software Product Line for Smart Home Applications
Author:
Affiliation:
1. Univeristy of Mosul,College of Computer Science,Mosul,Iraq
2. University of Arkansas,DCSTEM College,System Engineering Dept,Little Rock,AR,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10031271/10031277/10031714.pdf?arnumber=10031714
Reference24 articles.
1. An introduction to variable and feature selection;guyon;Journal of Machine Learning Research,2003
2. Guided regularized random forest feature selection for smartphone based human activity recognition;thakur;Journal of Ambient Intelligence and Humanized Computing,2022
3. Performance Analysis of Machine Learning Algorithms for Energy Demand–Supply Prediction in Smart Grids
4. Human activity recognition based on feature selection in smart home using back-propagation algorithm
5. A comprehensive survey on feature selection in the various fields of machine learning;dhal;Applied Intelligence,2021
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