Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.

Abstract: Credit card fraud detection presents a significant challenge due to the extreme class imbalance in transaction datasets. Traditional machine learning models struggle to achieve high recall ...

Abstract: Converter-based microgrids are modern decentralized energy systems that integrate distributed energy resources, communication networks, and control systems. They manage energy generation, ...