AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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An integrated framework for automated segmentation and management of DIC-based cracks using synthetic data, unsupervised learning, and building information modeling (BIM) is introduced.
This work proposes a Graph Neural Multilevel Preconditioner (GMP) that adopts an AMG hierarchy as a structural prior and learns smoothing, restriction, and interpolation operators in a unified framework and highlights both the promise and the limitations of enforcing AMG-style multilevel structure in learned preconditi...
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