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The work is supplemented by numerical experiments of the model in simulated scenarios.
Both the inclusion of extra knowledge and the use of interventions have outperformed the simple Bayesian network model in simulated and Real data sets.
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Results show that the Langmuir model is better than the Freundlich model in simulating the adsorption experiments.
The results show success of this fuzzy model in simulating driver control actions in curve following and collision avoidance maneuvers.
The results clearly show the advantages of the current model over the traditional interface-spring model in simulating anisotropic layers.
The performance of the model in simulating several experimental situations proved its validity over a wide range of operating conditions.
It is also found that the general circulation model can improve upon the empirical model in simulating geomagnetic storm effects and the solar cycle variation of neutral density.
The effectiveness of the developed model in simulating and predicting the behaviour of the aging connected PV plant under different weather conditions has been approved.
Mohanty et al. (2013) reported a comparison between MODFLOW and the artificial neural network (ANN) model in simulating groundwater levels in an alluvial aquifer system for Mahanadi deltaic system.
The usage of WRF is mostly as a mesoscale model in simulating either extreme events or events of smaller duration shown with statistical model evaluation for the correspondingly similar and short period of time.
The main goal of this study was to evaluate the performance of AnnAGNPS (Annualized Non-Point Source Pollution Model), in simulating runoff and soil erosion in a 48 km2 watershed located on the Island of Kauai, Hawaii.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com