Anomaly detection is a critical process in various industries, from financial fraud prevention to network security. Machine learning (ML), a subset of artificial intelligence, has significantly ...

Anomaly detection is a critical task in various industries, ensuring systems operate within normal parameters and identifying unusual patterns that could indicate problems. Machine learning (ML ...

AI and machine learning are added to the systems so that they can analyze large data quantities in real-time. Anomaly detection also prevents data breaches. By monitoring user behavior, network ...

Sarah Alnegheimish's research interests reside at the intersection of machine learning and systems engineering. Her objective ...

Machine learning can prove ideal for anomaly detection throughout the company network. Here are three key scenarios where this can be put to good use “Prevention is the daughter of intelligence,” said ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

Our Anomaly detection system for surveillance monitoring aims to capture a diverse range of realistic anomalies in surveillance videos. Leveraging visual technologies, our proposed method detects ...

Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...