Deep Learning Approach for Smart Home Appliances Monitoring and Classification

Author:

Ramesh Jayroop1,Al-Ali A. R.1,Al Nabulsi Ahmad1,Osman Ahmed2,Shaaban Mostafa2

Affiliation:

1. Computer Science and Engineering, American University of Sharjah,Sharjah,United Arab Emirates

2. Electrical Engineering, American University of Sharjah,Sharjah,United Arab Emirates

Funder

American University of Sharjah

Publisher

IEEE

Reference22 articles.

1. Machine Learning for Smart Energy Monitoring of Home Appliances Using IoT

2. Cognitive Smart Plugs for Signature Identification of Residential Home Appliance Load Using Machine Learning: From Theory to Practice;artur;2019 IEEE International Conference on Communications Workshops (ICC Workshops) 2019 IEEE International Conference on Communications Workshops (ICC Workshops),0

3. Nonintrusive appliance load monitoring

4. ElectriSense: Single-Point Sensing Using EMI for Electrical Event Detection and Classification in the Home;sidhant;Proceedings of the 12th ACM International Conference on Ubiquitous Computing Ubicomp ‘10 The 2010 ACM Conference on Ubiquitous Computing,0

5. Household Appliance Classification Using Lower Odd-Numbered Harmonics and the Bagging Decision Tree

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