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In particular, approaches are discussed that enable the modelling of the dynamics of gene regulatory systems.
Using methods like abstract automatons and the Unified Modelling Language (UML), it could be shown that such components enable the modelling of real-world systems at different levels of abstractions and granularity, so reflecting different views on the same system in a generic and consistent way.
The spatio-temporal dynamics of cellular automata (CAs) has attracted the attention of researchers from different fields, mainly mathematics, computer science and engineering, as a consequence of both the intriguing spatio-temporal patterns that these dynamical systems evolve and the fact that they enable the modelling of complex natural phenomena.
To monitor and quantify AGB whilst taking into consideration the high spatial variation, and additionally to enable the modelling of carbon stocks, further analysis of the underlying biophysical and anthropogenic conditions and processes, using a multi-variable approach, is essential.
To account for intra-cluster correlation, and to enable the modelling of variance at both area level and individual level, we performed a multi-level analysis of unweighted data, with the middle layer super output area specified as the grouping variable and individuals nested within these areas.
The aim of validation in simulation modelling is to enable the modelling team and stakeholders to gain sufficient confidence in the model.
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This could enable the models to compete with Google's Street View, which captures only images.
Cognitive architectures enable the modeling of human performance at a detailed level.
MIF's partner network will enable the model to expand in other emerging Latin America markets contributing to poverty reduction and rural economic development.
These systems then enable the modeling of customer adoption of car-sharing or of autonomous or electric vehicles; they also allow the modeling of different business models, advertising, and pricing of various services.
Good estimations of parameters and initial state variables are required to enable the models to make accurate estimations.
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