Emmah V. T.

Intelligent Real-Time Fraud Detection in Financial Institutions

The results show that the stacked ensemble produced a usable prototype-level fraud decision layer by combining supervised and anomaly based evidence, although threshold calibration, explainability, and validation on local institutional data remain necessary before operational deployment.