On the Use of Concentrated Time–Frequency Representations as Input to a Deep Convolutional Neural Network: Application to Non Intrusive Load Monitoring
- DOI
- 10.3390/e22090911
- Published
- 2020-08-19
- Container
- Entropy
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/e22090911,
title = {On the Use of Concentrated Time–Frequency Representations as Input to a Deep Convolutional Neural Network: Application to Non Intrusive Load Monitoring},
author = {Sarra Houidi and Dominique Fourer and François Auger},
year = {2020},
journal = {Entropy},
doi = {10.3390/e22090911},
url = {https://doi.org/10.3390/e22090911}
}RIS
TY - JOUR TI - On the Use of Concentrated Time–Frequency Representations as Input to a Deep Convolutional Neural Network: Application to Non Intrusive Load Monitoring AU - Sarra Houidi AU - Dominique Fourer AU - François Auger PY - 2020 JO - Entropy DO - 10.3390/e22090911 UR - https://doi.org/10.3390/e22090911 ER -
APA
Houidi, S., Fourer, D., & Auger, F. (2020). On the Use of Concentrated Time–Frequency Representations as Input to a Deep Convolutional Neural Network: Application to Non Intrusive Load Monitoring. Entropy. https://doi.org/10.3390/e22090911
Source records
- crossref · retrieved 2026-09-27T02:27:33.396Z