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Siminski, Krzysztof
Published in
International Journal of Applied Mathematics and Computer Science
Neuro-fuzzy systems have proved their ability to elaborate intelligible nonlinear models for presented data. However, their bottleneck is the volume of data. They have to read all data in order to produce a model. We apply the granular approach and propose a granular neuro-fuzzy system for large volume data. In our method the data are read by parts...
Sarton, Jonathan
Les besoins en visualisation de données volumiques sont courants dans plusieurs do-maines scientiques et en particulier en imagerie médicale et bio-médicale. En eet, plu-sieurs types d'appareils d'acquisition fréquemment utilisés, génèrent des champs scalairesou vectoriels, représentés sous forme de grille régulière 3D, qu'il est important de pouvo...
Schneider, S. May, T. Schmidt, M.
In this paper we describe a basis for a system that is able to compute actual scientific and realistic visualization methods in parallel. It is capable to integrate easily in modern VR renderers like for example Open Inventor [SGIa], Coin [Coi] and OpenSG [Vos02]. Our approach is advantageous for processing large datasets which usually are the resu...
Schneider, S. May, T. Schmidt, M.
In this paper we describe a further development state of our system which is able to compute actual scientific and realistic visualization methods in parallel. This paper is related to the basic work we presented in one of our previous articles. Our system is capable to integrate easily in modern VR renderers like for example Open Inventor, Coin an...
