An important step in designing stochastic simulation is modeling the uncertainty in the input environment of the system being studied. Obtaining a reasonable representation of thi...
In the framework of nonlinear process modeling, we propose training algorithms for feedback wavelet networks used as nonlinear dynamic models. An original initialization procedure...
This paper presents an ontology-based conceptual mapping framework that translates a formal and visually rich business process modeling (BPM) language, Fundamental Business Proces...
In this paper, we present an approach based on hierarchically structured business models as artifacts of business process modeling that are used in a stepwise acquisition process f...
Although widely studied for many years, colour quantisation remains a practical problem in image processing. Unlike previous works where the image can only be quantised after the ...