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Time-dependent global sensitivity analysis of the Doyle-Fuller-Newman model

• Authors : Zonta, Elia; Buha, Ivana Jovanovic; Spinola, Michele

Subjects: Condensed Matter - Materials Science; Statistics - Computation

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On one dimensional weighted Poincare inequalities for Global Sensitivity Analysis

• Authors : Heredia, David; Joulin, Aldéric; Roustant, Olivier

Subjects: Mathematics - Probability; Mathematics - Statistics Theory

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Network theory and global sensitivity analysis framework for navigating insights from complex multidisciplinary models

• Authors : Abburu, Sai Kausik; O'Reilly, Ciarán J.; Casanueva, Carlos, 1981

Subjects: Multidiscipline models; Global Sensitivity Analysis; Network models

• Source: IEEE Access. 12:157201-157217

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Global Sensitivity Analysis of Slope Stability Considering Effective Rainfall with Analytical Solutions.

• Authors : Xia, Chuan-An^1,2,3 (AUTHOR) ; Zhang, Jing-Quan¹ (AUTHOR) ; Wang, Hao^1,2,3 (AUTHOR)

Subjects: *PORE water pressure; *SLOPE stability; *SOIL cohesion

• Source: Water (20734441). Jan2025, Vol. 17 Issue 2, p141. 21p.

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Multiple Gaussian process models based global sensitivity analysis and efficient optimization of in vitro mRNA transcription process

• Authors : Tao, Min; Nair, Adithya; Kalospyrou, Ioanna

Subjects: Quantitative Biology - Quantitative Methods; Mathematics - Optimization and Control

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A new paradigm for global sensitivity analysis

• Authors : Mazo, Gildas

Subjects: Statistics - Machine Learning; Computer Science - Machine Learning; Statistics - Methodology

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Local and global sensitivity analysis for railway upgrading between hydrogen fuel cell and electrification

• Authors : Yizhe Zhang; Zhongbei Tian; Kangrui Jiang

Subjects: Transportation engineering; Electrification; TA1001-1280

• Source: High-Speed Railway, Vol 2, Iss 4, Pp 219-229 (2024)

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An Inference Method for Global Sensitivity Analysis

• Authors : Gildas Mazo; Laurent Tournier;

Subjects: inference; [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]; higher order interaction effect

• Source: TechnometricsTechnometrics, 2024, ⟨10.1080/00401706.2024.2431113⟩

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Enhancing Variable Importance in Random Forests: A Novel Application of Global Sensitivity Analysis

• Authors : Vannucci, Giulia; Siciliano, Roberta; Saltelli, Andrea

Subjects: Statistics - Machine Learning; Computer Science - Machine Learning; Statistics - Applications

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A Review of Global Sensitivity Analysis Methods and a comparative case study on Digit Classification

• Authors : Sadeghi, Zahra; Matwin, Stan

Subjects: Computer Science - Machine Learning; Computer Science - Artificial Intelligence

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