Results 11 to 20 of about 29,659,346 (383)

A Surrogate Model for Rapidly Assessing the Size of a Wildfire over Time

open access: yesFire, 2021
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
doaj   +1 more source

Influence of non‐ideal line‐reflect‐match calibration standards on vector network analyzer S‐parameter measurements

open access: yesIET Science, Measurement & Technology, 2023
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
doaj   +1 more source

Sensitivity Analysis of Mathematical Models

open access: yesComputation, 2023
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
doaj   +1 more source

Sensitivity Analysis in Observational Research: Introducing the E-Value

open access: yesAnnals of Internal Medicine, 2017
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

open access: yesBMC Bioinformatics, 2020
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
semanticscholar   +1 more source

Perturbation Sensitivity Analysis to Detect Unintended Model Biases [PDF]

open access: yesConference on Empirical Methods in Natural Language Processing, 2019
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
semanticscholar   +1 more source

Parametric Sensitivity of CSTBRs for Lactobacillus casei: Normalized Sensitivity Analysis

open access: yesChemEngineering, 2020
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
doaj   +1 more source

Sensitivity of Survival Analysis Metrics

open access: yesMathematics, 2023
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
doaj   +1 more source

A Comparison of Automatic Differentiation and Continuous Sensitivity Analysis for Derivatives of Differential Equation Solutions [PDF]

open access: yesIEEE Conference on High Performance Extreme Computing, 2018
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
semanticscholar   +1 more source

Sensitivity Analysis and Financial Decisions

open access: yesMercados y Negocios, 2022
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
doaj   +1 more source

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