AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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BOLT (bound-oriented learning for transport-coupled scheduling) builds a lower bound from chain, machine-capacity, and fleet-capacity relaxations that certifies a completed schedule's suboptimality gap without a solver.
Experiments show that PhyMamba achieves the best aggregated performance, with an overall mean error reduction of 31.8% compared with a diverse range of baselines, which supports practical deployment for robust battery health prognostics.
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