RF Fingerprinting on NetSTAR Target
0.2363AccuracyShapelet-Enhanced Large Language Models
Evaluation results
| Method | Links | |
|---|---|---|
| Shapelet-Enhanced Large Language ModelsInference=Standard2026.02 | 0.2363 | |
| RF-PTNInference=Standard2026.02 | 0.1939 | |
| ResNet-18Inference=Standard2026.02 | 0.0997 | |
| SimCLRInference=Standard2026.02 | 0.0519 | |
| LIMU-BERTInference=Standard2026.02 | 0.0459 | |
| RadioNetInference=Standard2026.02 | 0.0296 | |
| PatchLLMInference=Standard2026.02 | 0.0245 |