AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A physics-driven two-stage open-set radio frequency (RF) signal detection framework, termed OSR-SignalDet, is proposed, featuring a task decoupling paradigm, dedicated RF perception modules, and a prototype-based open-set metric learning head.
Coupling structural scheduling knowledge with rule-guided coordination yields a robust, interpretable, and transferable solution for dynamic multi-task allocation.
DS-SpecIT, a Decomposed Spectral Inverted Transformer, a Decomposed Spectral Inverted Transformer for interference-aware spectrum forecasting is proposed, specifically designed to handle structured electromagnetic interference.
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