Bayesian Model Updating Based on Structural Health Monitoring using Metamodeling Techniques
e-Journal of Nondestructive TestingBayesian modeling techniques are widely used in structural health monitoring to manage uncertainty in real-time data. These techniques integrate a probabilistic framework into model updating procedures, making Bayesian finite element model updating a ...
Ertuğrul Türker Uzun +2 more
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Aligning requirements and testing through metamodeling and patterns: design and evaluation. [PDF]
Requir Eng, 2023 Kudo TN +3 more
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A High Abstract Digital Forensic Readiness Metamodel for Securing Smart Cities
IEEE AccessThe rapid pace of technological development in recent years necessitates the protection of smart cities’ infrastructure from various cyber threats. In the near future, cyber threats targeting smart cities are expected to increase in volume, number,
Gaseb Alotibi
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A novel pure data-selection framework for day-ahead wind power forecasting. [PDF]
Fundam Res, 2023 Chen Y, Zhao J, Qin J, Li H, Zhang Z.
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Uncertainty-aware mixed-variable machine learning for materials design. [PDF]
Sci Rep, 2022 Zhang H +4 more
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Implementation and Performance Evaluation of a Bivariate Cut-HDMR Metamodel for Semiconductor Packaging Design Problems with a Large Number of Input Variables. [PDF]
Materials (Basel), 2021 Yang YH, Wei HP, Han B, Hu C.
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From integrative structural biology to cell biology. [PDF]
J Biol Chem, 2021 Sali A.
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External Evaluation of Population Pharmacokinetics Models of Lithium in the Bipolar Population. [PDF]
Pharmaceuticals (Basel), 2023 Aurélie L +7 more
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Journal of Materials and Engineering StructuresAccurate prediction of springback is a major challenge in sheet metal forming due to the material's ductility, strain hardening, and deformation-induced martensitic transformation.
Mokhtar BENCHERIF +5 more
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