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Empirical, mathematical and artificial neural network (ANN) modeling methodologies and their applications in fabric engineering are described.
Different to these existing works, this paper emphasizes on the analysis of modeling methodologies and the various features of the current WSN simulators.
Additionally, UML is independent of specific modeling methodologies and has a wide range of support tools.
Therefore, it is necessary to study the different modeling methodologies and to distinguish the various features of the existing WSN simulators.
Unfortunately, the learning curve for the associated metadatabase modeling methodologies and their corresponding computer aided software engineering (CASE) tools have made it difficult for students to grasp.
Our work advances existing systems pharmacology modeling methodologies and illustrates model development strategies with particular focus on integrating the role of cell signaling networks in disease.
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The VITAL standard and its packages provide us with a uniform modeling methodology and a tool box of types, functions, and procedures.
This paper presents a cell-based flexible actuator modeling methodology and the General Fingerprint Method for systematically and efficiently calculating the actuators' respective dynamic equations of motion.
This example model is developed step-by-step with the rube modeling methodology and associated development tools to demonstrate the practical feasibility of integrating customized software model visualization with formal software modeling processes.
This paper shares and contributes to a ground-breaking vision developed and being implemented which consists in the integration of materials modelling methodologies and knowledge-based systems with business process for decision making.
18 Deficiencies in modelling methodology and residual confounding may, however, provide an alternative explanation.
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