Results 11 to 20 of about 29,659,346 (383)
A Surrogate Model for Rapidly Assessing the Size of a Wildfire over Time
Rapid estimates of the risk from potential wildfires are necessary for operational management and mitigation efforts. Computational models can provide risk metrics, but are typically deterministic and may neglect uncertainties inherent in factors driving
Ujjwal KC+3 more
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In this paper, an improved two‐step method is presented for the sensitivity analysis of vector network analyzer (VNA) S‐parameter measurements due to the non‐ideal line‐reflect‐match (LRM) calibration standards.
Wei Zhao+5 more
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Sensitivity Analysis of Mathematical Models
The construction of a mathematical model of a complicated system is often associated with the evaluation of inputs’ (arguments, factors) influence on the output (response), the identification of important relationships between the variables used, and ...
Anton Sysoev
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Sensitivity Analysis in Observational Research: Introducing the E-Value
Key Summary Points Motivation: Observational studies that attempt to assess causality between a treatment and an outcome may be subject to unmeasured confounding.
T. VanderWeele, Peng Ding
semanticscholar +1 more source
Prediction of heart disease and classifiers’ sensitivity analysis
Heart disease (HD) is one of the most common diseases nowadays, and an early diagnosis of such a disease is a crucial task for many health care providers to prevent their patients for such a disease and to save lives.
K. Almustafa
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Perturbation Sensitivity Analysis to Detect Unintended Model Biases [PDF]
Data-driven statistical Natural Language Processing (NLP) techniques leverage large amounts of language data to build models that can understand language.
Vinodkumar Prabhakaran+2 more
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Parametric Sensitivity of CSTBRs for Lactobacillus casei: Normalized Sensitivity Analysis
In this paper, a sensitivity analysis of a continuous stirred tank bioreactor (CSTBR) was conducted to determine a parametrically sensitive regime.
Subhashis Das+2 more
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Sensitivity of Survival Analysis Metrics
Survival analysis models allow for predicting the probability of an event over time. The specificity of the survival analysis data includes the distribution of events over time and the proportion of classes.
Iulii Vasilev+2 more
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A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions [PDF]
Derivatives of differential equation solutions are commonly for parameter estimation, fitting neural differential equations, and as model diagnostics. However, with a litany of choices and a Cartesian product of potential methods, it can be difficult for
Christopher Rackauckas+7 more
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Sensitivity Analysis and Financial Decisions
The sensitivity analysis illustrates the variation of the value or result of a model in response to changes in some of its key variables, keeping the value of the other variables constant.
Juan Gaytán Cortés
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