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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.
Such approaches have the potential to better represent energy technologies, can integrate different modelling methodologies and can incorporate social, demographic, economic and climate considerations in a holistic context to predict both short- and long-term impacts.
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Our analysis suggests that a multiple model approach to understanding translation allows one to ascertain which aspects of the conclusions are robust with respect to the choice of modelling methodology, and when (and why) important differences may arise.
Explore a multitude of data modeling methodologies and understand how to select and apply them for analysis purposes.
Empirical, mathematical and artificial neural network (ANN) modeling methodologies and their applications in fabric engineering are described.
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Additionally, UML is independent of specific modeling methodologies and has a wide range of support tools.
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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.
His research interests include modelling methodology, system identification, and model reduction, in particular for biological and medical applications.
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