A Semi-supervised Emitter Identification Method for Imbalanced Category
This paper proposes Floor Spray Mop an SEI method based on cost-sensitive learning and semisupervised generative adversarial networks to address the problem of incomplete sample labels and imbalanced data category distribution in Specific Emitter Identification (SEI), which leads to a decline in inaccuracy.Through semisupervised training, the metho