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The prediction technique, which can be based on either statistical time series models or computational intelligence methods, is aimed at modelling and reproducing missing dynamics in the previously integrated approximation.
More complex models join numerical weather models or computational fluid dynamics models with a wildfire component which allow the feedback effects between the fire and the atmosphere to be estimated.
Its study often relies on in vivo or in vitro animal models, mathematical models, or computational (in silico) models.
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An artificial neural network (ANN), usually called 'neural network' (NN), is a mathematical model or computational model that is inspired by the structure and/or functional aspects of biological neural networks (Russell and Norvig 2003).
Investigating chemical and material problems at an atomistic scale through capturing and understanding molecular interactions requires effective implementation of molecular modeling or computational chemistry techniques.
Because of many influential factors, it is difficult to find a general model or computational formula to calculate the TCR of a solid interface.
ADM advocates the conduction of reengineering processes following the model-driven architecture (MDA) principles [2, 5], i.e., all the main software artifacts considered along with the process are platform-independent model (PIM), platform-specific model (PSM) or computational-independent model (CIM).
It is very difficult to explore chaotic systems on the basis of purely theoretical or mathematical models or from computational tools because it is not possible to observe the multitude of interrelationships that exist in a living cancer system.
This paper explores how optimal configuration of a composite panel is influenced by the choice of analysis model – analytic or computational – and the consideration of multiple objectives.
An important trend of such models is their coupling with an urban model or a computational fluid dynamic model for urban/local scale applications at 1 km or less and with an exposure model to provide real-time public health assessment and exposure predictions.
It is common practice to discretize the continuous-time model for experimental or computational purposes.
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CEO of Professional Science Editing for Scientists @ prosciediting.com