Circle detection algorithms form a fundamental pillar in computer vision, enabling the identification of circular features across a wide range of applications from automated industrial inspection to ...

WEST LAFAYETTE, Ind. — Patent-pending imaging technologies created in Purdue University’s College of Engineering could be developed and commercialized for applications as diverse as medical imaging, ...

Anomaly detection is the process of identifying events or patterns that differ from expected behavior. Anomaly detection can range from simple outlier detection to complex machine learning algorithms ...

Key market opportunities include increasing demand for AI-enabled detection, integration with smart-city systems, adoption of advanced detection algorithms, and miniaturization of detectors for ...

An Iraqi-Canadian research team has created a new algorithm that can detect direction change in the line current of renewables-based microgrids. The novel approach can be applied to both grid-forming ...

Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...

AI-based security detection automates the analysis of large, complex data sets to uncover threats in real time. These systems not only flag potential risks but can also trigger automated response ...

The broader shift is toward forecasting rather than reacting. Instead of detecting disease only after it crosses a threshold, systems will track trends that indicate future risk. The value of next ...