Mariem Mrad

Hybrid State Estimation and Recurrent Neural Networks for Supply Chain Disruption Detection

A data-driven anomaly detection framework for securing modern digital supply chain networks against fraudulent activities and abnormal operational behaviors and the potential of integrating control-theoretic estimation with deep learning techniques to enhance the security, resilience, and operational integrity of digit...