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Published in 2022 at "International Journal for Numerical Methods in Biomedical Engineering"
DOI: 10.1002/cnm.3575
Abstract: This work introduces a computational methodology to calibrate material models in biomechanical applications under uncertainty. We adopt a Bayesian approach, which estimates the probability distributions of hyperelastic material parameters, based on force‐strain measurements. We approximate…
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Keywords:
bayesian calibration;
surrogate based;
methodology;
based bayesian ... See more keywords
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Published in 2018 at "Applied Energy"
DOI: 10.1016/j.apenergy.2018.09.156
Abstract: Abstract Every building has different (and fuzzy) characteristics and contains complex sub-systems that affect each other. Therefore, significant uncertainties exist when modeling an entire building as a system. Calibration is necessary and able to reduce…
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Keywords:
energy;
computing time;
accuracy;
bayesian calibration ... See more keywords
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Published in 2017 at "Ecological Modelling"
DOI: 10.1016/j.ecolmodel.2017.05.015
Abstract: Proper parameterisation and quantification of model uncertainty are two essential tasks in improvement and assessment of model performance. Bayesian calibration is a method that combines both tasks by quantifying probability distributions for model parameters and…
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Keywords:
sensitivity analysis;
model;
calibration;
bayesian calibration ... See more keywords
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Published in 2017 at "Energy and Buildings"
DOI: 10.1016/j.enbuild.2017.09.009
Abstract: Abstract Many efforts are used to eliminate the gaps between physical measurements and simulation results. The Bayesian calibration technique is one of the popular automatic calibration methods Allowing for all sources of uncertainty, the method…
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Keywords:
model;
calibration;
bayesian calibration;
simulation ... See more keywords
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Published in 2025 at "Nuclear Science and Engineering"
DOI: 10.1080/00295639.2025.2528506
Abstract: Abstract This study presents a methodology for the calibration and sensitivity analysis of temperature measurements with Rayleigh scattering distributed fiber optic sensors (DFOSs) using Bayesian inference and sensitivity analysis techniques. Traditionally, thermocouples are used to…
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Keywords:
temperature;
bayesian calibration;
sensitivity analysis;
sensitivity ... See more keywords
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Published in 2024 at "Medical Decision Making"
DOI: 10.1177/0272989x241255618
Abstract: Purpose To calibrate Cancer Intervention and Surveillance Modeling Network (CISNET)’s SimCRC, MISCAN-Colon, and CRC-SPIN simulation models of the natural history colorectal cancer (CRC) with an emulator-based Bayesian algorithm and internally validate the model-predicted outcomes to…
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Keywords:
cancer;
bayesian calibration;
crc;
cisnet crc ... See more keywords
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Published in 2018 at "AIAA Journal"
DOI: 10.2514/1.j057204
Abstract: Compressible jet-in-crossflow interactions are difficult to simulate accurately using Reynolds-averaged Navier–Stokes (RANS) models. This could be due to simplifications inherent in RANS or the use...
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Keywords:
compressible jet;
robust bayesian;
bayesian calibration;
calibration model ... See more keywords
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Published in 2023 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph20021201
Abstract: Accurately estimating and predicting chronological age from some anthropometric characteristics of an individual without an identity document can be crucial in the context of a growing number of forced migrants. In the related literature, the…
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Keywords:
bayesian calibration;
combining bayesian;
copula;
age ... See more keywords