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The results suggest that dynamic conflict clustering, combined with lightweight strategic and learning-guided repair, improves both communication efficiency and robustness in incomplete DCSP solving.
A Temporal Graph Convolution Network with a Hierarchical Co-Attention (TGCN-HCA) model for effective fake news detection that effectively captures the complex interplay between temporal dynamics, structural information, and semantic content.
This work presents a quality-controlled LLM pipeline for ingredient data acquisition that combines robust statistical estimation, domain-specific invariant checks, and a web-fetch fallback, and frames LLM-assisted database construction as a controlled data-engineering workflow that makes uncertainty operational rather...
SW-SEIQR is presented, an individual-based epidemic model in which individuals are represented as nodes of a Watts–Strogatz small-world contact network, which indicates that highly effective risk-reduction measures, such as high-quality mask use, can substantially reduce disease transmission even when adopted by only a...
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