AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Results indicate that combining foundation-model semantic priors with a lightweight detector can improve the reliability of maritime object detection under complex sea-surface conditions.
A hybrid centrality measure that integrates information from both smallest-cycle structures and non-smallest-cycle structures associated with each target node provides a more comprehensive characterization of a node’s role in complex networks.
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