Results 41 to 50 of about 661,969 (212)
In the framework of non-destructive evaluation (NDE), an accurate and precise characterization of defects is fundamental. This paper proposes a novel method for characterization of partial detachment of thermal barrier coatings from metallic surfaces ...
Giuseppe Dinardo +3 more
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An evaluation is made of the suitability of analytical and statistical sampling methods for making uncertainty analyses. The adjoint method is found to be well-suited for obtaining sensitivity coefficients for computer programs involving large numbers of equations and input parameters. For this purpose the Latin Hypercube Sampling method is found to be
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Extremely Efficient Design of Organic Thin Film Solar Cells via Learning-Based Optimization
Design of efficient thin film photovoltaic (PV) cells require optical power absorption to be computed inside a nano-scale structure of photovoltaics, dielectric and plasmonic materials.
Mine Kaya, Shima Hajimirza
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As tea (Camellia sinensis L.) yield strongly determined by local environmental conditions, thus assessing the potential impact of the seasonal and inter-annual climate variability on regional crop yield has become crucial.
Esack Edwin Raj +2 more
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From RNA sequencing measurements to the final results: a practical guide to navigating the choices and uncertainties of gene set analysis [PDF]
Milena Wünsch +4 more
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Surface runoff models are essential for designing water and soil protection measures. However, they often exhibit uncertainty in both parameterization and results.
Jeřábek Jakub, Kavka Petr
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Communicating uncertainty in policy analysis [PDF]
The term “policy analysis” describes scientific evaluations of the impacts of past public policies and predictions of the outcomes of potential future policies. A prevalent practice has been to report policy analysis with incredible certitude. That is, exact predictions of policy outcomes are routine, while expressions of uncertainty are rare. However,
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Deterministic uncertainty analysis [PDF]
This paper presents a deterministic uncertainty analysis (DUA) method for calculating uncertainties that has the potential to significantly reduce the number of computer runs compared to conventional statistical analysis. The method is based upon the availability of derivative and sensitivity data such as that calculated using the well known direct or ...
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Analysis of Ensemble Uncertainty Transfer in AI-Based Downscaling of C3S Seasonal Forecast
Qing Lin +5 more
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Real-world rotordynamic systems exhibit inherent uncertainties in manufacturing tolerances, material properties, and operating conditions. This study presents a Monte Carlo simulation approach using MSC Adams View and Adams Insight to investigate the ...
Zdenko Šavrnoch +7 more
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