The e-commerce industry's rapid growth, accelerated by the COVID-19 pandemic, has led to
an alarming increase in digital fraud and associated losses. To establish a healthy e …

As digitalization and online transactions are getting improving day by day the usage of credit
card is getting increased. Credit card frauds are the most frequently happening problems in …

Given the critical role of data availability for growth and innovation in financial services,
especially small and mid-sized banks lack the data volumes required to fully leverage AI …

With the rapid digitization of banking services, modern financial institutions face a growing
menace from cybercriminals. Traditional methods of fraud detection have proven inadequate …

With the prosperity of Internet services, various fraudulent activities have emerged, and
some graph neural network-based methods have been proposed for fraud detection. These …

Purpose: This study aims to examine the use of intelligent automation in the process of
detecting and investigating fraud. Methodology/approach: This research is a bibliometric …

In credit fraud detection practice, certain fraudulent transactions often evade detection
because of the hidden nature of fraudulent behavior. To address this issue, an increasing …

The emergence of digital banking has led to an increase in transaction volume in Nigeria's
financial industry, resulting in a rise in fraud cases. This is gradually eroding trust in the …

These days, consumer behaviour models are often founded on machine learning and the
data mining of customer data. Forecasting client behaviour is an unclear and challenging …

This paper proposes an interpretable two-stream transformer CORAL networks
(TransCORALNet) for supply chain credit assessment under the segment industry and cold …