Fine-grain Anomaly Detection in Networks.
The QCM technology has been under development by Ontonix since 2005. Numerous applications have been developed which span various sectorsContinue Reading
Latest Posts
Atrial Fibrillation – Integrated Approach
The European 5-year research project AFFIRMO has been recently inaugurated. Ontonix is part of a multidisciplinary consortium across Europe representingContinue Reading
Covid-19 and the Deception of Linear Correlation
The management of crises, when based on data, relies on correlations that underly rules which, in turn, are translated intoContinue Reading
QCM Applied to Bridge Monitoring and Maintenance
Bridges, regardless of type, must maintain their performance throughout their useful life. Maintaining these features requires continuous monitoring of itsContinue Reading
CAHMS Applications
The CAHMS – Complexity And Health Monitoring System – applications fall into two main categories: CAT 1: Analysis of real-timeContinue Reading
On Extreme Problems
Extreme problems are very large-scale multi-disciplinary problems, involving thousands or millions of variables and which cannot be solved using conventionalContinue Reading
What Lies Beyond the QCM? The QCM2.
The classical complexity metric, which constitutes the core of the QCM, is scale-free. This means that the value of complexityContinue Reading
Stochastic Simulation: New Challenges and Perspectives for CAE in the 21st Century
Article from MSC’s Alpha Magazine, Vol 1, Winter 2003, written by Dr. J. Marczyk. “Clouds are not spheres, mountains areContinue Reading
On-board Battle Damage Assessment
Military operations aim to inflict damages on opposing forces and, unfortunately, sometimes entail suffering some damages in return. Either way,Continue Reading
Artificial Intuition Finds Unknown Anomalies – Beyond Machine Learning
As weapon systems and fleets become more complex and inter-connected, the number of anomalies that one can face increases rapidly.Continue Reading
