This paper discusses the development of a set of object-oriented modular simulation tools for solving lumped and spatially distributed models generated from chemical process desig...
: Process modelling has proved to be a powerful instrument to describe and manage the increasingly complex processes within and across enterprises. Yet, it requires a significant a...
In this paper, we demonstrate the prototype of a modelling tool that applies graph-based rules for identifying problems in business process models. The advantages of our approach a...
This paper presents a novel texture segmentation method using Bayesian estimation and neural networks. Multi-scale wavelet coefficients and the context information extracted from n...
We present a technique which complements Hidden Markov Models by incorporating some lexicalized states representing syntactically uncommon words. 'Our approach examines the d...