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Generate realistic test data in Python fast. No dataset required
Learn the NumPy trick for generating synthetic data that actually behaves like real data.
Abstract: Random Number Generators (RNGs) are substantially used in many security domains, providing a fundamental source of unpredictability essential for tasks such as cryptography, simulations, and ...
Abstract: This paper presents a lightweight hybrid random number generator (HRNG), implemented and evaluated on a Field-Programmable Gate Array (FPGA). The proposed design enhances security and ...
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