Optimized LightGBM Power Fingerprint Identification Based on Entropy Features

The huge amount of power fingerprint data often has the problem of unbalanced categories and is difficult to upload by the limited data transmission rate for IoT communications. An optimized LightGBM power fingerprint extraction and identification method based on entropy features is proposed. First,...

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Detalles Bibliográficos
Autores principales: Lin, Lin, Zhang, Jie, Zhang, Na, Shi, Jiancheng, Chen, Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689363/
https://www.ncbi.nlm.nih.gov/pubmed/36359649
http://dx.doi.org/10.3390/e24111558

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689363/
https://www.ncbi.nlm.nih.gov/pubmed/36359649
http://dx.doi.org/10.3390/e24111558

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