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Explore the intricacies of adaptive process prioritisation with an emphasis on CPU scheduling challenges and the role of machine learning in addressing dynamic workloads. Delve into methodologies, including literature reviews and data analysis using Windows system metrics, to derive actionable insights. Highlight the performance improvements realised through ML-based scheduling, alongside the challenges in Windows-specific implementations, concluding with future research directions and...