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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.
IEEE

A Study on Functional Coverage-Driven Random Stimulus Generation Methods for Integrated Circuit Functional Verification

Abstract: The rapid advancement of integrated circuit technology has led to an exponential increase in the scale and complexity of System-on-Chip designs, making chip verification the most ...
IEEE

Impact of Random Number Generation Methods Usage on Swarm Intelligence Algorithms for Energy Optimization in Wireless Sensor Networks

Abstract: Swarm Intelligence (SI) is a complex, adaptive, and intelligent collective behavior observed in decentralized, self-organized systems. These behaviors arise from the collective, yet simple ...