Pushpalika Chatterjee has established a new paradigm in fintech evolution. Her work lays the foundation for intelligent, ...

In the following diagram, Gartner defines how Microsoft ... implement policy changes based on telemetry thresholds and anomaly detection. This is critical for SOCs with complex, distributed ...

This repository explains the implementation of a logs anomaly detection architecture using ElasticSearch and Kibana, as well as a machine learning model. The purpose of this architecture is to analyze ...

[1] This paper proposed a model which is able to detect and mitigate DDoS attacks automatically in SDN networks using ... The architecture of implemented method consists of the flow collector module, ...

A recent MIT Technology Review survey revealed that 64% of manufacturers are exploring AI to enhance product quality. With ...

Lockheed Martin saw a stock price increase of 10% last week, potentially buoyed by its collaboration with Arquimea to enhance anomaly detection ... innovation in machine learning, automation ...

The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...

Increasing complexity of semiconductor devices necessitates a fundamental rethinking of defect detection methodologies.