A method for detection of Alzheimer's disease using ICA-enhanced EEG measurements

Blind separation of rotating machine sources: bilinear forms and convolutive mixtures

Automatic fault detection in rotating equipment with neural networks.

Blind separation of machine vibration with bilinear forms.

MONISOM - a system for machine health monitoring with neural networks.

Health monitoring with learning methods.

The use of context in dynamic pattern recognition applications.

Learning methods for machine vibration analysis and health monitoring

The Role of Subclasses in Machine Diagnostics.

Blind separation of machine vibration with bilinear forms

Support vector data description applied to machine vibration analysis

Analysis and improvement of a neural network based system for gas leak detection

Rotating machine vibration analysis with second order independent component analysis

Creating virtual sensors for machine monitoring with Independent Component Analysis

Pump failure detection using support vector data descriptions

Methods for blind source separation applied to airport noise surveillance

Robust machine fault detection with Independent Component Analysis and Support Vector Data Description

Support objects for domain approximation

Domain approximation for condition monitoring

A neural network base system for gas leak detecton with hydrophone measurements