Few-Shot Learning for Image-Based Nonintrusive Appliance Signal Recognition

In this article, we present the recognition of nonintrusive disaggregated appliance signals through a reduced dataset computer vision deep learning approach. Deep learning data requirements are costly in terms of acquisition time, storage memory requirements, computation time, and dynamic memory usa...

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Detalles Bibliográficos
Autores principales: Matindife, L., Sun, Y., Wang, Z.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9427221/
https://www.ncbi.nlm.nih.gov/pubmed/36052035
http://dx.doi.org/10.1155/2022/2142935

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9427221/
https://www.ncbi.nlm.nih.gov/pubmed/36052035
http://dx.doi.org/10.1155/2022/2142935

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