Artificial Intelligence (AI) has proliferated in the last few years due to the vast data we pro-
duce daily and available computing power. AI can be applied in many different sectors, such …

This study explores the adoption and impact of artificial intelligence (AI) and machine
learning (ML) in financial markets, utilizing a mixed-methods approach that includes a …

Financial fraud detection is essential for preventing significant financial losses and
maintaining the reputation of financial institutions. However, conventional methods of …

The uncertainty of the environment, the complexity of economic systems, both at the national
and global economy levels, and the digital age and artificial intelligence draw attention to …

Today, many people prefer online payment methods due to the rapid growth in cashless
electronic transactions. Credit and debit cards are the most popular electronic payment …

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 …

Although there is a considerable amount of studies in drone forensics that describe
numerous practical and technical perspectives, there is a lack of a comprehensive …

Online banking fraud occurs whenever a criminal can seize accounts and transfer funds
from an individual's online bank account. Successfully preventing this requires the detection …

Fraud detection is a vital and challenging task in the financial domain. Traditional machine
learning approaches have limitations in dealing with the high imbalance and complexity of …

Fraud detection is used in various industries, including banking institutes, finance,
insurance, government agencies, etc. Recent increases in the number of fraud attempts …