'Uncertainty propagation' presentation slideshows

Predicting the mechanical response of oligocrystals using deep convolutional neural networks

Predicting the mechanical response of oligocrystals using deep convolutional neural networks. Ari Frankel , Reese Jones, Coleman Alleman , Jeremy Templeton. Overview. Additive manufacturing and material variability Simulation framework Prediction of elastic modulus Validation

301 views • 26 slides

MARLAP Measurement Uncertainty

MARLAP Measurement Uncertainty. Keith McCroan U.S. Environmental Protection Agency National Air and Radiation Environmental Laboratory. Topics Covered. Brief overview of concepts and terms of probability and statistics Measurement uncertainty Detection and quantification limits

580 views • 24 slides

Overview:

PROPAGATION OF STATISTICAL INFORMATION THROUGH NON-LINEAR FEATURE EXTRACTIONS FOR ROBUST SPEECH RECOGNITION. Overview:. Introduction: Automatic speech recognition. Problem: Imperfect noise suppression. Proposed solution: Uncertainty propagation. Tests & results. Conclusions.

321 views • 22 slides

Managing and communicating uncertainty in geospatial web service workflows

Managing and communicating uncertainty in geospatial web service workflows. Richard Jones, Dan Cornford, Lucy Bastin, Matthew Williams Computer Science, Aston University, Birmingham, United Kingdom Workshop on Workflows for Earth Observation Systems, Nottingham. The UncertWeb concept.

288 views • 17 slides

Application of the Decision Based Uncertainty Propagation in CBRN incidents

Application of the Decision Based Uncertainty Propagation in CBRN incidents. Gabriel Terejanu 1 , Peter Scott 1 , Puneet Singla 2 , Tarunraj Singh 2 1 Department of Computer Science & Engineering 2 Department of Mechanical & Aerospace Engineering University at Buffalo

300 views • 15 slides

UncertWeb overview

183 views • 10 slides

PI: Prof. Nicholas Zabaras Participating student: Swagato Acharjee

E. S. D. PDF of design Objective. Input support space. Fail. Safe. Design variables. Engineering component. Random Meso-Scale features. Robust design and analysis of deformation processes. PI: Prof. Nicholas Zabaras Participating student: Swagato Acharjee

154 views • 1 slides