Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moren...
On our ongoing research on variability analysis, two major drawbacks have been identified: a) the lack of an effective tracing from the rationale to the selected variant, and b) t...
In this simulation we demonstrate how real-time multiresolution approaches based on underlying geometries are used in terrain visualization. The animated sequence demonstrates app...
We propose new discrete-to-continuous interpolation models for hexagonally sampled data, that generalize two families of splines developed in the literature for the hexagonal latt...
— This paper presents an architecture and algorithms for optimizing the performance of web services. For a given service, session-based admission control is combined with stage-w...