Results 11 to 20 of about 882,957 (263)
A Workflow for Global Sensitivity Analysis of PBPK Models [PDF]
Frontiers in Pharmacology, 2011 Physiologically based pharmacokinetic models have a potentially significant role in the development of a reliable predictive toxicity testing strategy. The structure of PBPK models are ideal frameworks into which disparate in vitro and in vivo data can ...
Kevin eMcNally +2 more
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Global sensitivity analysis in epidemiological modeling. [PDF]
Eur J Oper Res, 2023 Operations researchers worldwide rely extensively on quantitative simulations to model alternative aspects of the COVID-19 pandemic. Proper uncertainty quantification and sensitivity analysis are fundamental to enrich the modeling process and communicate correctly informed insights to decision-makers.
Lu X, Borgonovo E.
europepmc +4 more sources
Global Sensitivity Analysis and Wasserstein Spaces [PDF]
SIAM/ASA Journal on Uncertainty Quantification, 2021 Sensitivity indices are commonly used to quantity the relative inuence of any specic group of input variables on the output of a computer code. In this paper, we focus both on computer codes the output of which is a cumulative distribution function and on stochastic computer codes.
Fort, Jean-Claude +2 more
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Fairness seen as global sensitivity analysis
Machine Learning, 2022 Ensuring that a predictor is not biased against a sensible feature is the key of Fairness learning. Conversely, Global Sensitivity Analysis is used in numerous contexts to monitor the influence of any feature on an output variable. We reconcile these two domains by showing how Fairness can be seen as a special framework of Global Sensitivity Analysis ...
Bénesse, Clément +3 more
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Energies, 2023 In the process of parameter identification, sensitivity analysis is mainly used to determine key parameters with high sensitivity in the model. Sensitivity analysis methods include local sensitivity analysis (LSA) and global sensitivity analysis (GSA ...
Chuan Qin +4 more
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Simplified Identification Strategy of Load Model Based on Global Sensitivity Analysis
IEEE Access, 2020 Load modeling plays an important role in accessing and enhancing the dynamic stability of power systems. Though the Synthesis Load Model Considering Voltage Regulation of Distribution Network ( $\pi $ model) has high accuracy, its parameters are too ...
Xin Tian +5 more
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Sensitivity analysis of upscaling prediction of the mass flux at DNAPL contaminated sites
地质科技通报, 2023 Dense nonaqueous phase liquid (DNAPL) contamination is a growing problem. To assess the environmental risk of DNAPL-contaminated sites, the mass flux of the dissolved phase (mass flux) in the source zone of DNAPL contamination is often extrapolated using
Meiyu Song +3 more
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Global sensitivity analysis for offshore wind cost modelling
Wind Energy, 2021 The costs of offshore wind are decreasing rapidly. However, there is a need to better understand the key drivers behind these cost reductions. New environmental regulations, economic policies, technological advancements and financing structures have ...
Esteve Borràs Mora +2 more
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Global Sensitivity Analysis Applied to Train Traffic Rescheduling: A Comparative Study
Energies, 2021 The adjustment of rail traffic in the event of an electrical infrastructure disruption presents an important decision-making process for the smooth operation of the network. Railway systems are complex, and their analysis relies on expensive simulations,
Soha Saad +4 more
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Aerodynamic Design Based on Global Sensitivity Analysis Method [PDF]
Xibei Gongye Daxue Xuebao, 2018 To deal with the problem of the difficult optimization search and expensive computational cost caused by large-scale design variables, the hierarchical optimization design system based on the global sensitivity analysis method is established in this ...
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