Product · 4 documents
The study integrated the Ethereum Fraud Detection Dataset containing 9,841 transactions and 51 attributes with digital waqf system behavioral data.
The Anti-Money Laundering Tracker models transaction networks using the IBM AMLSim synthetic dataset, which includes approximately 9,945 account records and 68,289 transactions.
The proposed hybrid AI system was trained and evaluated on a transaction dataset containing more than 6 million records with transaction time steps ranging from 0 to 743.
AI governance integrates explainability, model risk management, lifecycle governance, and internal controls to satisfy regulatory expectations in banking.
