Xuanrui Zhang Advances Financial Security Through Real-Time Machine Learning and Graph-Based Fraud Detection

A new framework integrates graph databases with real-time machine learning to enhance fraud detection and risk control in digital finance. By ...
TheXboxHub

Data-Driven Victory: How AI and Stats Shape Winning Picks in Esports

Platforms like Stats Edge and GRID Insights have made such systems commercially viable, combining player and team data, projection engines, real-time match tracking, and predictive features. GRID ...
IEEE

Fault Classification in Distribution Networks Using Graph Neural Networks and Discrete Stockwell Transform

Abstract: Deep learning models have shown great potential for fault location and classification tasks in distribution systems. Emerging multi-scale data sources such as waveform measurement units, ...
Design And Reuse

AI in VLSI Physical Design: Opportunities and Challenges

Traditional EDA tools rely on heuristics and static algorithms, which struggle to scale with modern design complexity. AI introduces a data-driven, adaptive approach, capable of learning from vast ...
IEEE

Dynamic Spatial-Temporal Graph Convolutional Neural Networks Approach for Active Mode Traffic Prediction

Abstract: Accurate short-term predictions of active mode traffic are crucial for effective urban traffic control and management, helping to reduce delays, stops, and improve travel time reliability, ...