AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A novel framework combining Constrained Deep Q-Learning with Precise Sea Area Cleanup that introduces three key innovations: HSV-based dual-stream feature extraction for robust water-land discrimination, context-aware action constraints with curiosity-driven exploration to prevent artifacts and a single-image reinforce...
Coastal erosion forecasting is central to climate adaptation and risk management. However, shoreline dynamics exhibit complex spatio-temporal patterns with both local variations and long-range dependencies that conventional recurrent models struggle to capture efficiently. We propose a hybrid Mamba-LSTM framework for m...
This work proposes SAGE (Sequential Anchor-Gated Exchange), an optimal-stopping peer selector under a one-model-bearing-exchange budget, and shows that the selector never returns a peer worse than random gossip with high probability, and proves that no such guarantee holds for selectors that commit without a certificat...
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