How does the new HackRF Pro perform in practical tests? We compare it with its predecessor, the HackRF One, and analyze improvements in RF characteristics.
Introduction [Project Description] PlumeDoseNet is a machine learning–based framework for rapid plume shine dose estimation. The project employs XGBoost, Random Forest, and TabNet models trained on ...
finalcode/ ├── README.md # This file ├── activationCaptureLib/ # Steps 1-3: capture, convert, reshape │ ├── capture_activations.py # Step 1: extract hidden states from HF models │ ├── ...
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