This paper describes an approach for using several levels of data fusion in the domain of autonomous off-road navigation. We are focusing on outdoor obstacle detection, and we pre...
Insufficient training data is one of the major problems in neural network learning, because it leads to poor learning performance. In order to enhance an intelligent learning proc...
The shift of development effort onto the model level, as postulated by MDA, provides an opportunity for establishing a set of modelling constructs that is more intuitive and homoge...
Grzegorz Falda, Piotr Habela, Krzysztof Kaczmarski...
Data-centric business applications comprise an important class of distributed systems that includes on-line stores, document management systems, and patient portals. However, their...
The advance of the Web has significantly and rapidly changed the way of information organization, sharing and distribution. The next generation of the web, the semantic web, seeks...