Abstract: Several studies have shown that deep learning techniques, such as deep neural networks (DNNs) using fully connected layers, can detect malicious traffic with high performance. However, there ...
Abstract: This study introduces a deep-learning framework for Human Activity Recognition (HAR) using spectrogram representations of FMCW radar data. Leveraging a publicly accessible dataset (DOI: ...
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Python 3.8+ llama.cpp (already included in parent directory) Raspberry Pi 4/5 with 4GB RAM (or Mac/Linux for development) ...
In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline data rather than live exploration. We design a custom environment, generate a ...