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Edge-cloud collaboration-driven predictive modeling for high-performance computing centers.
Accurate coolant flow prediction is critical for active thermal management in high-performance computing (HPC) centers, yet it is inherently challenged by mixed-timescale dynamics and high-frequency workload surges. Existing deep learning methods often prioritize global accuracy on smoothed stationa
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