ML enhances decision-making in digital banking by processing vast amounts of structured and unstructured data at scale. Key ...

In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

A new book provides an overview of agent-based modeling (ABM) and multi-agent systems (MAS), emphasizing their significance in understanding complex economic systems. The book’s 14 chapters feature ...

Abstract: Fraud detection in banking transactions is critical due to the surge in digital transactions and associated fraudulent activities. For imbalanced datasets, conventional machine learning ...