This article studies the development of a reliable AI model to detect fraudulent bank
transactions, including money laundering, and illegal activities with goods and services. The …

In recent years, the use of credit cards has increased significantly due to digitization and the
emergence of cashless transactions. There has been a huge jump in fraud in credit card …

Equipment and machines can be exposed to very high temperatures in the steel mill
industry. One particularly critical part is the ladles used to hold and pour molten iron into …

Aim: Evaluating the work's accuracy is its main goal in predicting the fraud using Decision
Tree (DT) and Support Vector Classifier (SVC) algorithms. Materials and Methods: On a …

Anomaly detection is the process of finding unusual events in a given dataset. Anomaly
detection is often performed on datasets with a fixed set of predefined features. As a result of …

There is increasing interest in using Artificial Intelligence (AI) and machine learning
techniques to enhance risk management from credit risk to operational risk. Moreover …