The increasing spread of cyberattacks and crimes makes cyber security a top priority in the
banking industry. Credit card cyber fraud is a major security risk worldwide. Conventional …

Credit cards play an essential role in today's digital economy, and their usage has recently
grown tremendously, accompanied by a corresponding increase in credit card fraud …

This study proposes a deep learning framework to perform uncertainty quantification of vibro-
acoustic coupling problems for robot manta rays. First, Loop subdivision surfaces are used …

Calibrating deep neural models plays an important role in building reliable, robust AI
systems in safety-critical applications. Recent work has shown that modern neural networks …

Transaction fraud detection is an essential topic in financial research, protecting customers
and financial institutions from suffering significant financial losses. The existing ensemble …

To systematically quantify certain uncertainties within the vibro-acoustic coupling problems,
we propose a framework for sampling the acceleration and uncertainty quantification based …

Fraud detection is a challenging task that can be difficult to carry out. To address these
challenges, a comprehensive framework has been developed which includes a new …

Numerous cutting-edge commercial possibilities have emerged as a result of the
widespread use of cryptocurrencies, but it has also drawn a growing number of fraudulent …

This paper presents a review of different deep learning approaches for credit-card fraud
detection, proposed between 2019 and 2023 inclusive. The paper discusses the …

Fraud detection is a critical task across various domains, requiring accurate identification of
fraudulent activities within vast arrays of transactional data. The significant challenges in …