Results 11 to 20 of about 10,217 (217)
Metamodeling in EIA/CDIF - Meta-Metamodel and Metamodels [PDF]
ACM Transactions on Modeling and Computer Simulation, 2002 This article introduces the EIA/CDIF set of standards for the modeling of information systems and its exchange among computer-aided software tools of different vendors.
Flatscher, Rony G.
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Kriging Metamodeling in Simulation: A Review [PDF]
SSRN Electronic Journal, 2007 This article reviews Kriging (also called spatial correlation modeling). It presents the basic Kriging assumptions and formulas contrasting Kriging and classic linear regression metamodels.
Kleijnen, J.P.C.
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Water Resources ResearchThis paper presents a topology‐aware neural network approach for the detection, location, and quantification of abnormal consumptions in water distribution networks.
João Caetano +4 more
doaj +2 more sources
A Perspective on Software Intelligence for Autonomous Transformations in Biomedical Data and Knowledge. [PDF]
Learn Health SystABSTRACT Introduction Persistent knowledge is essential for propagating the learning health system (LHS) cycle. Integral to the cycle are iterative transformations of data into knowledge. However, human efforts to undertake these transformations are increasingly challenged when dealing with larger data scales and complexities.
Navale V.
europepmc +2 more sources
Comparing Strategies to Prevent Stroke and Ischemic Heart Disease in the Tunisian Population: Markov Modeling Approach Using a Comprehensive Sensitivity Analysis Algorithm. [PDF]
, 2019 Background. Mathematical models offer the potential to analyze and compare the effectiveness of very different interventions to prevent future cardiovascular disease.
Bandosz, P +8 more
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IEEE Access, 2018 Metamodeling has become a crucial technique in the process of software development. However, the level of metamodeling acceptance is still very low in software development companies. To the best of our knowledge, this paper can be considered as the first
Vitaliy Mezhuyev +3 more
doaj +1 more source
Machines, 2022 Nowadays, due to the confidence in modeling tools and rapid product iteration, electric machine designers primarily rely on simulations. This approach reduces time and cost and is very useful when comparing different machine topologies.
Branko Ban, Stjepan Stipetic
doaj +1 more source
Sensitivity analysis of expensive black-box systems using metamodeling [PDF]
, 2016 Simulations are becoming ever more common as a tool for designing complex products. Sensitivity analysis techniques can be applied to these simulations to gain insight, or to reduce the complexity of the problem at hand.
Couckuyt, Ivo +3 more
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Domain Specific MetaModeling for Deep Semantic Composability
IEEE Access, 2018 Current simulation models are not only represented in the form of traditional data or formula for pure theory analysis but expanded to be simulation modeling assets that are featured with complicated structure, diverse behaviors, and abundant semantics ...
Zhi Zhu +4 more
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Applied Sciences, 2021 Data are crucial to improve decision-making and obtain greater benefits in any type of activity. However, the large amount of information generated by new technologies has made data analysis and knowledge generation a complex task.
Andrea Vázquez-Ingelmo +2 more
doaj +1 more source