Design patterns constitute a fundamental component in the architecture of software systems, providing standardised and reusable solutions to recurring design challenges. Originating from seminal works ...

Network intrusion detection and pattern matching techniques form a critical pillar in contemporary cybersecurity. These methods enable the identification of malicious activities by scrutinising ...

How Search Engines Use Machine Learning for Pattern Detection Algorithm updates like Google Panda are more understandable when you grasp the basics of machine learning. Here’s a simplified breakdown ...

McFowland III, Edward, Skyler Speakman, and Daniel B. Neill. "Fast Generalized Subset Scan for Anomalous Pattern Detection." Art. 12. Journal of Machine Learning Research 14 (2013): 1533–1561.

Cintas, Celia, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III, and Komminist Weldemariam. "Pattern Detection in the Activation Space for Identifying Synthesized Content.

Advanced machine learning is beginning to make inroads into yield enhancement methodology as fabs and equipment makers seek to identify defectivity patterns in wafer images with greater accuracy and ...

The hyperpersonalization pattern is defined as using machine learning to develop a profile of each individual, and then having that profile learn and adapt over time for a wide variety of purposes ...