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This paper focuses on a new data model, called Source-Transaction-Agent (STA) data model, as a modelling technique for business process modelling.
This paper presents an overview of discrete element modelling (DEM) as a modelling technique for granular assemblies.
The work done by Silva et al. [31] will be considered in future studies as suggested modelling technique for the wheel ground interaction through modelling of foot ground interaction of artificial locomotion systems.
This paper presents a constitutive modelling technique for the multi-phase transformations in mono-crystalline silicon under complex loading.
We present a forward modelling technique for calculating the surface X-ray spectra for a variety of lunar terrains.
The theoretical framework of this paper is applied as multi-scale modelling technique for flow through a cylindrical tube array.
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We used a modelling technique designed for manufacturing processes (IDEF0/SADT).
The modelling technique calls for information on topography, land use, road traffic, population, etc. that may be collected at different periods, leading to uncertainty in matching all the data.
Table 3 depicts the modelling requirements for stochastic modelling techniques for dynamic power management.
The use of a multilevel modelling technique would account for the hierarchical structure of the data, adjusting for estimated coefficients and other cluster-level sources of unobserved heterogeneity (variance) that may be associated with attitudes or perceptions towards justification of wife-beating or of domestic violence.
The focus of this paper is to present the incremental cost modelling technique specifically designed for the integration with discrete-event simulation models and multi-objective optimisation within this methodology.
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