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Sensitivity analysis by neural networks applied to power systems transient stability
(Elsevier B.V., 2014)
Adaptive importance sampling based neural network framework for reliability and sensitivity prediction for variable stiffness composite laminates with hybrid uncertainties
(Elsevier, 2020)
In this work, we propose to leverage the advantages of both the Artificial Neural Network (ANN) based Second
Order Reliability Method (SORM) and Importance sampling to yield an Adaptive Importance Sampling based
ANN, ...
Global sensitivity analysis methods applied to hydrologic modeling with the sac-sma model
(Engenharia Agrícola, 2019)
Sensitivity analysis of the Pesticide in Water Calculator model for applications in the Pampa region of Argentina
(Elsevier Science, 2020-01)
Despite the widespread use of pesticides in the Pampa region of Argentina, mathematical models are rarely employed to predict pesticide fate due to the lack of regionally tested models and the absence of readily available ...
Application of evidence theory for sensitivity analysis followed by uncertainty modeling of contaminant transport
(Universidad Continental, 2020)
Monte Carlo simulation is traditionally used for global sensitivity analysis using correlation matrix method with uncertain parameters. Uncertainty may be either due to variability or randomness or due to imprecision or ...
Wastewater stabilization Ponds system: Parametric and dynamic global sensitivity analysis
(American Chemical Society, 2016-10-14)
In this work, a global sensitivity analysis (GSA) is performed on a kinetic-dynamic model for a stabilization pond system, consisting of two aerobic ponds in series followed by a facultative one, to determine the most ...
Optimal design of dynamic experiments in the development of cybernetic models for bioreactors
(Institution of Chemical Engineers, 2018-08)
Cybernetic models of bioreactors are appealing due to their capacity to account for regulatory mechanisms in cell metabolism by modeling the synthesis of enzymes and their activities. For a given objective of interest, ...
Regression models for grouped survival data: Estimation and sensitivity analysis
(ELSEVIER SCIENCE BV, 2011)
In this study, regression models are evaluated for grouped survival data when the effect of censoring time is considered in the model and the regression structure is modeled through four link functions. The methodology for ...
Sensitivity analysis of the pesticide in water calculator model for applications in the Pampa región of Argentina
(Elsevier, 2020-01-01)
Despite the widespread use of pesticides in the Pampa region of Argentina, mathematical models are rarely employed to predict pesticide fate due to the lack of regionally tested models and the absence of readily available ...
Snow processes and climate sensitivity in an arid mountain region, northern Chile
(MDPI, 2021)
Seasonal snow and glaciers in arid mountain regions are essential in sustaining human populations,
economic activity, and ecosystems, especially in their role as reservoirs. However, they are
threatened by global atmospheric ...