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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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Bibliografske podrobnosti
Principais autores: Lin Lin, Jie Zhang, Na Zhang, Jiancheng Shi, Cheng Chen
Format: Artigo
Jezik:Inglês
Izdano: MDPI AG 2022-10-01
Serija:Entropy
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Online dostop:https://www.mdpi.com/1099-4300/24/11/1558
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