Power fingerprint identification based on the improved v-i trajectory with color encoding and transferred cbam-resnet

HIGHLIGHTS

• who: Lin Lin et al. from the Dianli University, Jilin, China have published the research: Power fingerprint identification based on the improved V-I trajectory with color encoding and transferred CBAM-ResNet, in the Journal: PLOS ONE of 14/Nov/2022
• what: The generalization performance of the model can be improved when trained with the proposed class balance loss (blue dashed line).
• how: To solve these problems this paper proposes a power fingerprint identification based on the improved V-I trajectory with color encoding and transferred CBAM-ResNet34. The confusion matrix of each . . .
  

   

  

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