Results 21 to 30 of about 993,116 (266)
The early design parameters exert a considerable influence on the cooling energy demand of a granary building in operation. In order to investigate the impact of various parameters on energy use, a grain warehouse energy model was constructed using the ...
Hua Zhang +4 more
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Evaluation of a Pointwise Local Visual Pattern Exploration Method
Sensitivity analysis is a powerful method for discovering the significant factors that contribute to understanding the interaction between variables in multivariate datasets. A number of sensitivity analysis methods fall into the class of local analysis,
Zhenyu Guo +3 more
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In this study, considering the delays for a susceptible individual becoming an alcoholic and the relapse of a recovered individual back into being an alcoholic, we formulate an epidemic model for alcoholism with distributed delays and relapse.
Zejun Wang +3 more
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Vehicles are complex systems composed of interdependent subsystems, where a change in one component can propagate through others, causing knock-on effects and impacting the overall performance.
Sai Kausik Abburu +2 more
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The Influence Factors Analysis of Balanced Field Length Based on Local Sensitivity
Balance field length is one of the important technical indexes in civil aircraft design and operation, and it has an important influence on civil aircraft economy, safety and universality, and also determines the aircraft decision speed.
Zhang Lina, Wang Shitao, Liu Xiaochuan
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Local reliability based sensitivity analysis with the moving particles method [PDF]
Local reliability sensitivity methods aim at determining the partial derivatives of the failure probability or the reliability index with respect to model parameters. For efficient local reliability based sensitivity analysis, it is important to avoid repeated evaluations of the performance function.
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Sensitivity Analysis of a Photovoltaic Cell with a Single-Diode Model at Maximum Power Point: A Derivative-Based Approach [PDF]
The necessity of sensitivity analysis has rapidly increased for systems with unknown or uncertain mathematical relationships between inputs and outputs.
Ehsan Moshksar
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Sensitivity Analysis in the Dupire Local Volatility Model with Tensorflow
In a recent paper, we have demonstrated how the affinity between TPUs and multi-dimensional financial simulation resulted in fast Monte Carlo simulations that could be setup in a few lines of python Tensorflow code. We also presented a major benefit from writing high performance simulations in an automated differentiation language such as Tensorflow: a
Francois Belletti +4 more
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A Network Analysis-Based Distributed Load Shedding Strategy for Voltage Collapse Prevention
This paper proposes a network analysis-based distributed load shedding strategy for voltage collapse prevention. The two-level framework of the distributed load shedding strategy is proposed. The lower one is consisted of local load shedding controllers,
Aina Tian, Xiaoming Mou
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Dependent Coeffects for Local Sensitivity Analysis
Differential privacy is a formal definition of privacy that bounds the maximum acceptable information leakage when a query is performed on sensitive data. To ensure this property, a key technique involves bounding the query’s sensitivity (how much input variations affect the output) and adding noise to the result according to this quantity. While prior
Victor Sannier, Patrick Baillot
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