Abstract: This proposed work introduces a comprehensive accident detection and risk assessment system that coordinate the strengths of Convolutional Neural Networks (CNNs) and a graph-based analytical ...
Abstract: The integration of temporal features and correlations across time series has emerged as an effective strategy in time series prediction. Spatial-Temporal Graph Neural Networks (STGNNs) have ...
An advanced MCP server implementation that combines Neo4j knowledge graphs, Qdrant vector databases, and sophisticated AI orchestration to create a hybrid reasoning system for knowledge management, ...
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