IEEE

Adaptive Log-Euclidean Metrics for SPD Matrix Learning

Abstract: Symmetric Positive Definite (SPD) matrices have received wide attention in machine learning due to their intrinsic capacity to encode underlying structural correlation in data. Many ...

Bacterium that may protect against long COVID identified

According to WHO, approximately 6% of the worldwide population who contract COVID-19—some 400 million people—go on to develop ...

The New Turing Test: How Threats Use Geometry to Prove 'Humanness'

Malware is evolving to evade sandboxes by pretending to be a real human behind the keyboard. The Picus Red Report 2026 shows 80% of top attacker techniques now focus on evasion and persistence, ...
IEEE

Enhanced 2D Data Clustering Using FCM and K-Means with Euclidean Distance Comparison

Abstract: In this study, FCM and K-means clustering are in contrast to Fuzzy C Means (FCM), which initializes cluster centrist and calculates membership degrees for each data point, allowing for soft ...