Coupling life cycle assessment and global sensitivity analysis to evaluate the uncertainty and key processes associated with carbon footprint of rice production in Eastern China [PDF]
Frontiers in Plant Science, 2022 Graphical ...
Qiang Xu +18 more
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Trajectory-based global sensitivity analysis in multiscale models [PDF]
Scientific ReportsThis research introduces a novel global sensitivity analysis (GSA) framework for agent-based models (ABMs) that explicitly handles their distinctive features, such as multi-level structure and temporal dynamics.
Valentina Bazyleva +2 more
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Coasting: Model description, global sensitivity analysis, and scenario discovery [PDF]
MethodsX, 2020 This manuscript provides information for replicating the Coasting agent-based model presented in “Simulating emerging coastal tourism vulnerabilities: an agent-based modelling approach”.
Jillian Student +2 more
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Accelerated global sensitivity analysis of genome-wide constraint-based metabolic models [PDF]
BMC Bioinformatics, 2021 Background Genome-wide reconstructions of metabolism opened the way to thorough investigations of cell metabolism for health care and industrial purposes.
Marco S. Nobile +3 more
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Energies, 2021 Power systems are increasingly affected by various sources of uncertainty at all levels. The investigation of their effects thus becomes a critical challenge for their design and operation.
Mirko Ginocchi +2 more
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Global sensitivity analysis of COVID-19 mathematical model
Alexandria Engineering Journal, 2021 In this paper, we applied the Sobol’s method on an already existing mathematical model of coronavirus disease 2019 (covid-19). The objectives of this research work are to study the individual effects of involved parameters as well as combine (mutual ...
Zizhen Zhang, Raheem Gul, Anwar Zeb
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Global sensitivity analysis for Building-Stock Energy Models: Application of three global approaches [PDF]
E3S Web of Conferences, 2022 Buildings-Stock Energy Models (BSEMs) recently gained vast momentum in battling the climate emergency. They allow for quick evaluation of competing policy solutions for determining effective energy reduction recommendations in the building sector.
Van Hove Matthias Y.C. +2 more
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A Surrogate Model for Rapidly Assessing the Size of a Wildfire over Time
Fire, 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
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Intelligent Global Sensitivity Analysis Based on Deep Learning
Shanghai Jiaotong Daxue xuebao, 2022 This paper proposes an end-to-end method that combines deep learning and sensitivity analysis, which can perform gradient back propagation calculation sensitivity on the saved weight information while training the model.
WU Shuchen, QI Zongfeng, LI Jianxun
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Towards parameter estimation in global hydrological models
Environmental Research Letters, 2023 Global hydrological models (GHMs) supply key information for stakeholders and policymakers simulating past, present and future water cycles. Inaccuracy in GHM simulations, i.e.
Jenny Kupzig +4 more
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