In this article, the authors discuss how to detect fraud in credit card transactions, using supervised machine learning algorithms (random forest, logistic regression) as well as outlier detection ...

Based on this research, Wei Ran Lab has conducted big data analysis, trained millions of samples, and selected the Random Forest algorithm to identify threats in encrypted communication traffic.

The increasing digitalization of banking services has led to a surge in financial fraud, necessitating advanced detection systems.

The detection of weed seedlings within crop rows at the initial growth stage is considered one of the main challenges in Site-Specific Weed Management (SSWM). In this context, a robust and automatic ...

As automated fraud detection tools get smarter and machine learning becomes more powerful, the outlook should improve exponentially.

It’s a great time to be in the fraud detection business in crypto and fintech. Crypto in particular has faced some high-profile scams recently, and many companies operating within the ecosystem ...

First Data Corp. is hoping that its scale—it says it processes more than 2,800 transactions per second coming from more than 6 million merchants—will give its new Fraud Detect service an edge in ...