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This economic evaluation study was developed by building a deterministic decision tree model with sensitivity analysis.
An energy management model, with sensitivity analysis for energy storage capacity investment and electricity load demand growth, for searching optimum operating policies for maximization of profit in a microgrid system in Taiwan is presented in [5].
By modifying mode shapes of the reduced-order model with sensitivity analysis, the reduced-order model can accurately represent the first low order modes of the continuous propeller-shafting system, enabling the effectiveness of controller design in the physical state space.
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Some assumptions, including evacuation compliance, shadow evacuation and vehicle use rates can be measured indirectly through questionnaires and tested in models with sensitivity analysis; others, such as the destination of evacuees, can only be presumed and aggregated.
Comparison between homoscedastic vs. heteroscedastic modeling of selected statistical parameters for DA indicates that heteroscedastic modeling does not improve over homoscedastic modeling, and that homoscedastic error modeling with sensitivity analysis may suffice for application of MLEF for soil moisture updating using streamflow data.
With Shenzhen City, a typical rapid urbanization area in China or even in the whole world, as the case, this study aims to simulate multiple land use dynamics by combining Monte Carlo approach to CA-ANN model, and to choose appropriate model parameters with sensitivity analysis on predicating variables, neighborhood size and cell size.
The ANN model coupled with sensitivity analysis show be a promising framework for its application in smart sensors on cleaning systems for PV modules to improve their operational efficiency.
A new and disposable electrochemical immunosensor was designed for detection of alpha-fetoprotein (AFP), as a model analyte, with sensitivity enhancement based on enzyme-catalyzed silver deposition onto irregular-shaped gold nanoparticles (ISGNPs).
Similarly on the independent dataset, our model performed with sensitivity values up to 84%.
To combine model simplification with sensitivity analysis is a way to investigate the structure of complex biological networks.
Amino acid composition-based model performs with sensitivity of 11.72%, specificity of 89%, and accuracy of 43.17%.
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Justyna Jupowicz-Kozak
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