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High-Performance Computing for Data-Centric and Self-Adaptive Machine Learning in Health and Energy Systems
DescriptionThis work explores how HPC enhances self-adaptive machine learning for large-scale health and energy data, enabling efficient multimodal simulations and optimal trade-offs between computational cost, accuracy, and cloud deployment.