Results 231 to 240 of about 401,511 (278)

Uncertainty Quantification in Epigenetic Clocks via Conformalized Quantile Regression. [PDF]

Genet Epidemiol
Li Y, Goodrich JM, Peterson KE, Song PX, Luo L.   +4 more
europepmc   +1 more source

TMU-Net: A Transformer-Based Multimodal Framework with Uncertainty Quantification for Driver Fatigue Detection. [PDF]

Sensors (Basel)
Zhang Y, Xu X, Du Y, Zhang N.
europepmc   +1 more source

Advanced fault diagnosis in milling cutting tools using vision transformers with semi-supervised learning and uncertainty quantification. [PDF]

Sci Rep
Siddique MF, Umar M, Ahmad W, Kim JM.
europepmc   +1 more source

Multiscale Uncertainty Quantification of Woven Composite Structures by Dual-Correlation Sampling for Stochastic Mechanical Behavior. [PDF]

Polymers (Basel)
Yang G, Xiao S, Hou C, Wan X, Gong J, Xia D.   +5 more
europepmc   +1 more source

Uncertainty Quantification of the Mechanical Properties of 2D Hexagonal Cellular Solid by Analytical and Finite Element Method Approach. [PDF]

Materials (Basel)
Iqbal S, Kamiński M.
europepmc   +1 more source

Uncertainty Quantification of Central Canal Stenosis Deep Learning Classifier from Lumbar Sagittal T2-Weighted MRI

Brenzikofer A, Monzon M, Galbusera F, Manjaly Z, Cina A, Jutzeler CR.   +5 more
europepmc   +1 more source

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Uncertainty Quantification

Oberwolfach Reports, 2020
Uncertainty quantification (UQ) is concerned with including and characterising uncertainties in mathematical models. Major steps comprise proper description of system uncertainties, analysis and efficient quantification of uncertainties in predictions and design problems, and statistical inference on uncertain parameters starting from available ...
Oliver G. Ernst, Fabio Nobile, Claudia Schillings, Tim Sullivan   +3 more
openaire   +2 more sources

Uncertainty Quantification

2017
This book results from a course developed by the author and reflects both his own and collaborative research regarding the development and implementation of uncertainty quantification (UQ) techniques for large-scale applications over the last two decades.The objectives of this book are to present fundamental notions for the stochastic modeling of ...
  +5 more sources