—The paper deals with the partial automation of cars for safety purposes. We have tried to automate the car to prevent the danger (obstacles around the car) in the best possible ...
— This paper describes an ontology-driven model, which integrates Bayesian Networks (BN) into the Ontology Web Language (OWL) to preserve the advantages of both. This model makes...
We define the use of Bayesian Networks for fault detection in the perception mechanism of context-aware ubiquitous systems. This paper1 describes the complete working of such a f...
— This paper introduces a quantitative method for social data analysis, which is based on the use of categorical data clustering. More specifically, we employ categorical data cl...
Wrappers play an important role in extracting specified information from various sources. Wrapper rules by which information is extracted are often created from the domain-specifi...
We develop a biologically motivated oscillatory network model and related dynamical synchronizationbased method of image segmentation. The first version of successive segmentation...
Digital audio devices have been changing music entertainment environment. Those devices are bundled with music jukebox software, such as Apple’s iTunes, Sony’s CONNECT player....
This paper describes attempts at constructing an automatic sleep stage classifier using EEG recordings. Three different feature extraction schemes were compared together with two...
Steinn Gudmundsson, Thomas Philip Runarsson, Sven ...
We present the architecture and the interface of a metadata registry for a large e-learning site. The metadata registry is very simple to integrate by content and application prov...