The Indian banks are rapidly integrating machine learning models into Financial Crime Compliance (FCC) operations amid rising ...

Enhanced capabilities deliver superior device recognition, advanced anomaly detection and adaptive machine learning, helping businesses stay ahead of evolving fraud threats ...

Artificial Intelligence enabled threat detection for Blockchain attacks mainly involved in the application of deep learning and machine learning techniques to identify and mitigate vulnerable and ...

Abstract: This research proposes a lightweight hybrid approach for anomaly detection in correlated IoT sensor data, combining PCA for fast monitoring and Autoencoders for deeper analysis. Validated on ...

Security remains a dominant challenge in remote health monitoring. Medical data is deeply sensitive, and breaches can expose patients to identity theft, insurance exploitation or targeted cyberattacks ...

Machine learning models can spot signs of contamination in cell culture much sooner than traditional approaches.