This project evaluates how effectively static features extracted from Windows Portable Executable (PE) files can distinguish ransomware from benign software using supervised machine learning. This ...
Abstract: This article presents a nonlinear fault-location method that leverages a kernel correlation coefficient to map transient fault waveforms into a high-dimensional Hilbert space using a ...
Abstract: Quantum Machine Learning (QML) offers the potential to solve data-driven tasks using quantum computing, especially in the NISQ era. However, the impact of noise on quantum models and their ...
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