AI-Powered Fraud Detection in Financial Transactions

The study evaluates the performance of various algorithms, such as Random Forests, Gradient Boosting Machines, and Autoencoders, on publicly available and proprietary transaction datasets and offers a robust, real-time fraud detection system that meets the demands of modern financial ecosystems.