Results 1 to 10 of about 10,866,611 (334)

Non-Local Sensitivity Analysis and Numerical Homogenization in Optimal Design of Single-Wall Corrugated Board Packaging. [PDF]

open access: yesMaterials (Basel), 2022
The optimal selection of the composition of corrugated cardboard dedicated to specific packaging structures is not an easy task. The use of lighter boards saves material, but at the same time increases the risk of not meeting the guaranteed load capacity.
Mrówczyński D   +2 more
europepmc   +2 more sources

Comparative Study of Global Sensitivity Analysis and Local Sensitivity Analysis in Power System Parameter Identification

open access: yesEnergies, 2023
In the process of parameter identification, sensitivity analysis is mainly used to determine key parameters with high sensitivity in the model. Sensitivity analysis methods include local sensitivity analysis (LSA) and global sensitivity analysis (GSA ...
Chuan Qin   +4 more
doaj   +2 more sources

Neural heterogeneity enhances reliable neural information processing: Local sensitivity and globally input-slaved transient dynamics. [PDF]

open access: yesSci Adv
Cortical neuronal activity varies over time and across repeated stimulation trials, yet consistently represents stimulus features. The dynamical mechanism underlying this reliable representation and computation remains elusive.
Wu S   +5 more
europepmc   +2 more sources

Local Sensitivity Approximations for Selectivity Bias

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 2001
Summary Observational data analysis is often based on tacit assumptions of ignorability or randomness. The paper develops a general approach to local sensitivity analysis for selectivity bias, which aims to study the sensitivity of inference to small departures from such assumptions.
Copas, John, Eguchi, Shinto
openaire   +2 more sources

ALLSH: Active Learning Guided by Local Sensitivity and Hardness [PDF]

open access: yesNAACL-HLT, 2022
Active learning, which effectively collects informative unlabeled data for annotation, reduces the demand for labeled data. In this work, we propose to retrieve unlabeled samples with a local sensitivity and hardness-aware acquisition function.
Shujian Zhang   +5 more
semanticscholar   +1 more source

Quantum circuit debugging and sensitivity analysis via local inversions [PDF]

open access: yesQuantum, 2023
As the width and depth of quantum circuits implemented by state-of-the-art quantum processors rapidly increase, circuit analysis and assessment via classical simulation are becoming unfeasible. It is crucial, therefore, to develop new methods to identify
Fernando A. Calderon-Vargas   +3 more
doaj   +1 more source

A Review on Local Failure Probability Sensitivity Analysis

open access: yesApplied Sciences, 2023
When assessing the reliability of a system, a mathematical model is often defined to replicate the system’s behavior. The inputs of the system are then gathered into two categories, random inputs and deterministic inputs.
Marie Chiron   +2 more
doaj   +1 more source

Impact of Goodwill on Consumer Buying through Advertising in a Segmented Market: An Optimal Control Theoretic Approach

open access: yesAxioms, 2023
Market segmentation is one of the key marketing activities to target the potential market for a product, which allows the firm to have a better understanding of their customers.
Pradeep Kumar   +3 more
doaj   +1 more source

Antibiotic Stewardship for Canine and Feline Acute Urinary Tract Infection: An Observational Study in a Small Animal Hospital in Northwest Italy

open access: yesAntibiotics, 2021
Antimicrobial stewardship programs (ASPs) have been suggested to reduce antimicrobial resistance phenomena in veterinary medicine, as antibiotics are commonly used without microbiological confirmation. The aim of the present study is to design a specific
Cristina Vercelli   +4 more
doaj   +1 more source

Local Sensitivity of Failure Probability through Polynomial Regression and Importance Sampling

open access: yesMathematics, 2023
Evaluating the failure probability of a system is essential in order to assess its reliability. This probability may significantly depend on deterministic parameters such as distribution parameters or design parameters.
Marie Chiron   +2 more
doaj   +1 more source

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