An extension of the modelling theme, generic task models, is proposed to augment the contribution of knowledge reuse to the design process.
A domain-specific modelling language (DSML) for designing goal models is proposed that provides solutions for requirements that are derived from the described scenarios.
A method for deriving computationally efficient reduced nonlinear distillation models is proposed, which extends the aggregated modeling method of Lévine and Rouchon (1991) to complex models.
A methodology for designing semi-physical fuzzy models is proposed.
A novel mixture of graphical models is proposed, which dynamically couples the landmarks to a hierarchy of segments.
A possible model combining elements from previous models is proposed for carbyne structures.
A harmonized picture of the unidirectional growth based on different Mg vapor models is proposed.
A new method for diagnostics and reduction of dynamical systems and chemical kinetic models is proposed.
Here, an original, robust, multi-level dynamic condensation method of stochastic models is proposed.
In the present work a different approach with respect the traditional models is proposed.
In this paper, an evaluation framework to support practitioners in choosing appropriate BITA models is proposed.
