Abstract: Fraud detection has turned into a pressing concern for the digital era, with online platforms and banks increasingly exposed to sophisticated fraudulent threats. Traditional machine learning ...
Kennesaw State University (KSU) is stepping into the future of workforce-ready education with the launch of a new Bachelor’s degree ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Abstract: Financial fraud, particularly in credit card transactions, remains a critical issue for financial institutions due to the growing complexity of digital payment systems and cyberattacks. This ...
Add Yahoo as a preferred source to see more of our stories on Google. The process helps protect retailers from refunding money to scammers. Michael Kors Outlet is selling a $358 satchel for just $72 — ...
To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min For Arizona business leaders ...
This project implements and compares Temporal Graph Neural Networks (TGNNs) for detecting fraudulent transactions in financial networks. We've built a complete end-to-end system including model ...
Indonesia’s Directorate General of Population and Civil Registration (Ditjen Dukcapil) is shopping for a firm to provide a face biometric liveness detection system as the country looks to upgrade its ...
Android malware using artificial intelligence has been discovered carrying out hidden ad fraud on infected devices. It automatically clicks ads through concealed browser windows and spreads mainly ...
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