Devdiscourse

AI-powered fraud detection model targets hidden patterns in complex transaction networks

The key challenge in credit card fraud detection lies in the imbalance between legitimate and fraudulent transactions. Fraud cases typically represent less than 1 percent of total transactions, ...
IEEE

Hyperspectral Anomaly Detection Using Dual-Branch Network Based on Frequency Domain Learning

Abstract: Existing deep learning-based hyperspectral anomaly detection methods often overlook frequency domain features, hindering the ability to effectively distinguish between background and ...
Security Boulevard

Beyond the Basics Developing a Risk Driven AI Driven Cloud Native Security Strategy

Cloud-native architectures bring speed and scalability but also create new risks beyond traditional workloads. Misconfigured ...
IEEE

Brainai-Net: An Automated Deep Learning Approach For Tumor Detection

Abstract: This study explores the development of a deep learning-based model for the automated detection of brain tumors, aiming to improve diagnostic accuracy and efficiency compared to existing ...