Uncertainty quantification in modeling HIV viral mechanics by H. T. Banks, Robert Baraldi, Karissa Cross, Kevin Flores, Christina McChesney, Laura Poag, Emma Thorpe

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Parameter estimation and uncertainty quantification for an epidemic model by Alex Capaldi, Samuel Behrend, Benjamin Berman, Jason Smith, Justin Wright, Alun L. Lloyd

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Uncertainty Quantification of GEKO Model Coefficients on Compressible Flows by Yeong-Ki Jung, Kyoungsik Chang, Jae Hyun Bae

“…GEKO is a two-equation model based on the k-ω formulation, and some specified model coefficients can be tuned depending on the flow characteristics. Uncertainty quantification (UQ) analysis is incorporated to quantify the uncertainty of the model coefficients and to calibrate the coefficients. …”
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Uncertainty quantification of CT regularized reconstruction within the Bayesian framework by Negin Khoeiniha, Patricio Guerrero, Wim Dewulf

“…Given our interest in the uncertainty Quantification (UQ) of CT reconstruction, we employ statistical methods within the Bayesian framework for solving this inverse problem. …”
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Bayesian deep learning applied to diabetic retinopathy with uncertainty quantification by Masoud Muhammed Hassan, Halbast Rashid Ismail

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Risk, Reliability, and Uncertainty Quantification of Structural Systems Subjected to Shock and Vibration by Aly Mousaad Aly, M. Amin Hariri-Ardebili, Elena Dragomirescu, Jiming Xie

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Soft-Label Supervised Meta-Model with Adversarial Samples for Uncertainty Quantification by Kyle Lucke, Aleksandar Vakanski, Min Xian

Subjects: “…uncertainty quantification…”
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Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning by Sangwoo Park, Osvaldo Simeone

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Cylindrical Shell with Junctions: Uncertainty Quantification of Free Vibration and Frequency Response Analysis by Harri Hakula, Vesa Kaarnioja, Mikael Laaksonen

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Uncertainty quantification in multi-parametric MRI-based meningioma radiotherapy target segmentation by Lana Wang, Zhenyu Yang, Zhenyu Yang, Dominic LaBella, Zachary Reitman, John Ginn, Jingtong Zhao, Justus Adamson, Kyle Lafata, Kyle Lafata, Kyle Lafata, Evan Calabrese, John Kirkpatrick, Chunhao Wang

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Uncertainty Quantification for a Hydraulic Fracture Geometry: Application to Woodford Shale Data by Batoul M. Gisler

“…Here, I build a framework for uncertainty quantification for a 1D fracture geometry using Woodford shale data. …”
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Survey and perspective on verification, validation, and uncertainty quantification of digital twins for precision medicine by Kaan Sel, Andrea Hawkins-Daarud, Anirban Chaudhuri, Deen Osman, Ahmad Bahai, David Paydarfar, Karen Willcox, Caroline Chung, Roozbeh Jafari

“…We examine the critical role of Verification, Validation, and Uncertainty Quantification (VVUQ) for digital twins in ensuring safety and efficacy, with examples in cardiology and oncology. …”
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Nuclear Data Uncertainty Quantification and Propagation for Safety Analysis of Lead-Cooled Fast Reactors by Ishita Trivedi, Jason Hou, Giacomo Grasso, Kostadin Ivanov, Fausto Franceschini

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Uncertainty Quantification for the Transient Response of Human Equivalent Antenna Using the Stochastic Collocation Approach by Anna Šušnjara, Dragan Poljak

“…The paper deals with the uncertainty quantification of the transient axial current induced along the human body exposed to electromagnetic pulse radiation. …”
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Conservation of forest biomass and forest–dependent wildlife population: Uncertainty quantification of the model parameters by Ibrahim, M. Fanuel, Silas, Mirau, Damian, Kajunguri, Francis, Moyo

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Conservation of forest biomass and forest–dependent wildlife population: Uncertainty quantification of the model parameters by Fanuel, Ibrahim M., Mirau, Silas, Kajunguri, Damian, Moyo, Francis

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Bayesian calibration and uncertainty quantification for a large nutrient load impact modelZenodoZenodoZenodo by Karel Kaurila, Risto Lignell, Frede Thingstad, Harri Kuosa, Jarno Vanhatalo

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Decent Estimate of CME Arrival Time From a Data‐Assimilated Ensemble in the Alfvén Wave Solar Atmosphere Model (DECADE‐AWSoM) by Hongfan Chen, Nishtha Sachdeva, Zhenguang Huang, Bart van derHolst, Ward Manchester IV, Aniket Jivani, Shasha Zou, Yang Chen, Xun Huan, Gabor Toth

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Composite Bayesian Optimization in function spaces using NEON—Neural Epistemic Operator Networks by Leonardo Ferreira Guilhoto, Paris Perdikaris

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Global sensitivity analysis and uncertainty quantification for a mathematical model of dry anaerobic digestion in plug-flow reactors by Daniele Bernardo Panaro, Andrea Trucchia, Vincenzo Luongo, Maria Rosaria Mattei, Luigi Frunzo

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