Abstract: Accurate short-term traffic flow forecasting is essential for intelligent transportation systems (ITS) and urban operations. However, most graph neural network (GNN) approaches rely on ...
Abstract: Detecting small targets in complex marine environments is challenging for radar systems. Existing methods relying on high-dimensional features often fail to account for correlations in radar ...
A production-grade algorithmic trading system combining particle filters, graph-based ecosystem modeling, RAG-grounded LLM research agents, and NLP news pipelines for NIFTY 50 swing trading (3-20 day ...