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Modelling approaches have been inconsistent and are species, site and characteristic specific.
Both modelling approaches have been extensively tested, showing advantages and limitations.
To overcome this lack-of-data-problem, spatial generalisation and modelling approaches have been developed.
In this paper, Bayesian networks and ensemble modelling approaches have been applied to establish the error bounds.
Computational Fluid Dynamics using RANS-based modelling approaches have become an important tool in the internal combustion engine development and optimization process.
A wide variety of modelling approaches have been tested to simulate urban expansion; however, the effectiveness of simulations of the spatial structure of urban expansion remains unexplored.
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Evolution of modelling approaches has led to the use of multiple GCMs and hydrologic models to create an envelope of future conditions that reflects the probability distribution.
Studying enzymatic and chemical hydrolysis of lignocellulosic biomass based on experimental and modelling approaches has been extensively reviewed elsewhere (Van Dyk and Pletschke 2012; Bansal et al. 2009; Meng and Ragauskas 2014; Hodge et al. 2009; Geddes et al. 2010; Sun and Cheng 2002).
The results of this new modelling approach have shown good qualitative agreement with the reported experimental observation on wide range of gas solid flow conditions.
For the last 2 decades, agent-based modelling (ABM), a discrete-based hybrid modelling approach, has emerged as a valuable tool in the field of computational biology owing to its diverse modelling rules.
This modelling approach has several advantages including that both basins are modelled together and the model is calibrated and converges.
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