ملف الباحث

Mohammad Shanaa

ورقة واحدة في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. A Hybrid Anomaly Detection Framework Combining Supervised and Unsupervised Learning for Credit Card Fraud Detection

    2025 · F1000Research

    <ns3:p>Background Credit card fraud detection remains a major challenge because of the highly imbalanced nature of transaction data. Conventional supervised models often suffer from low recall or high false positive rates, whereas unsupervised methods lack …