Deep learning (DL), a branch of machine learning (ML), is the core technology in today's
technological advancements and innovations. Deep learning-based approaches are the …

Forecasting solar power generation (SPG) is vital for the development and planning of
power systems, offering significant benefits in terms of technical performance and financial …

For a long time, decision-making in auditing was limited to a risk-oriented recommendation
and consisted of the rigorous analysis of a sample of data. The new trend in the audit …

Securing online financial transactions has become a critical concern in an era where
financial services are becoming more and more digital. The transition to digital platforms for …

Credit card fraud (CCF) is a significant threat to cardholders and financial institutions. CCF
detection against this threat is challenging due to extremely imbalanced data (EID). EID …

This study investigates the application of the Random Forest algorithm to identify and
prevent fraudulent activities in a dynamic and complex financial environment. We aim to …

The digitization of financial transactions has led to a rise in credit card fraud, necessitating
robust measures to secure digital financial systems from fraudsters. Nevertheless, traditional …

This paper presents the prototyping and validation of a Financial Data Management and
Analysis System designed to enhance fraud detection using advanced Big Data and Cloud …

Credit card usage has surged, heightening concerns about fraud. To address this, advanced
credit card fraud detection (CCFD) technology employs machine learning algorithms to …

In today's cashless society, the increasing threat of credit card fraud demands our attention.
To protect our financial security, it is crucial to develop robust and accurate fraud detection …