Results 41 to 50 of about 10,217 (217)
Advanced Modeling and Simulation in Engineering SciencesThis research paper presents a comprehensive methodology for analyzing wet clutches, focusing on their intricate thermomechanical behavior. The study combines advanced encoding techniques, such as Principal Component Analysis (PCA), with metamodeling, to
Thomas Schneider +2 more
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Journal of Industrial Engineering and Management, 2013 Purpose: This paper proposes an integrated computer-supported multi-staged approach to the flexible design and multicriteria evaluation of service infrastructure assignment processes/ algorithms. Design/methodology/approach: It involves particularizing a
Alfonso Duran +2 more
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Metamodeling for Uncertainty Quantification of a Flood Wave Model for Concrete Dam Breaks
Energies, 2020 Uncertainties in instantaneous dam-break floods are difficult to assess with standard methods (e.g., Monte Carlo simulation) because of the lack of historical observations and high computational costs of the numerical models.
Anna Kalinina +6 more
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P ORTOLAN: a Model-Driven Cartography Framework [PDF]
, 2011 Processing large amounts of data to extract useful information is an essential task within companies. To help in this task, visualization techniques have been commonly used due to their capacity to present data in synthesized views, easier to understand ...
Brunelière, Hugo +4 more
core +3 more sources
Fuzzy local linear approximation-based sequential design [PDF]
, 2014 When approximating complex high-fidelity black box simulators with surrogate models, the experimental design is often created sequentially. LOLA-Voronoi, a powerful state of the art method for sequential design combines an Exploitation and Exploration ...
Deschrijver, Dirk +2 more
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Which Knowledge Do Pre‐Service Teachers Need to Meaningfully Engage in Modeling?
Journal of Research in Science Teaching, Volume 63, Issue 4-5, Page 352-371, May 2026.ABSTRACT Modeling involves a set of scientific practices that pre‐service science teachers struggle with. These practices involve constructing, predicting, testing, and revising models. Engaging meaningfully in modeling practices leads modelers to gain new insights about phenomena.
Paul Engelschalt +4 more
wiley +1 more source
Metamodel variability analysis combining bootstrapping and validation techniques [PDF]
, 2012 Research on metamodel-based optimization has received considerably increasing interest in recent years, and has found successful applications in solving computationally expensive problems.
Dellino, Gabriella, Meloni, Carlo
core
On the Properties of Metamodeling in OWL [PDF]
Journal of Logic and Computation, 2005 A common practice in conceptual modeling is to separate the intensional from the extensional model. Although very intuitive, this approach is inadequate for many complex domains, where the borderline between the two models is not clear-cut. Therefore, OWL-Full, the most expressive of the Semantic Web ontology languages, allows combining the intensional
openaire +3 more sources
Case Studies in Thermal EngineeringMetamodeling is a promising technique for alleviating the computational burden of building energy simulation. Although various machine learning (ML) algorithms have been applied, the interactive effects of multiple factors on ML algorithm performance ...
Binghui Si +4 more
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A Language Description is More than a Metamodel [PDF]
, 2007 Within the context of (software) language engineering, language descriptions are considered first class citizens. One of the ways to describe languages is by means of a metamodel, which represents the abstract syntax of the language.
Kleppe, A.G.
core +2 more sources