about
Big data and deep data in scanning and electron microscopies: deriving functionality from multidimensional data sets.Big-deep-smart data in imaging for guiding materials design.Complex optimization for big computational and experimental neutron datasets.Hyperspectral agricultural mapping using support vector machine-based endmember extraction (SVM-BEE).Improving tissue segmentation of human brain MRI through preprocessing by the Gegenbauer reconstruction method.A method to reduce the Gibbs ringing artifact in MRI scans while keeping tissue boundary integrity.Improving the accuracy of volumetric segmentation using pre-processing boundary detection and image reconstruction.Accelerated application development: The ORNL Titan experienceStochastic Parameterization to Represent Variability and Extremes in Climate ModelingAccelerating Time Integration for the Shallow Water Equations on the Sphere Using GPUsEmulation to simulate low-resolution atmospheric dataMultiwavelet Discontinuous Galerkin-Accelerated Exact Linear Part (ELP) Method for the Shallow-Water Equations on the Cubed SphereImproving the accuracy and resolution of neutron crystallographic data by three-dimensional profile fitting of Bragg peaks in reciprocal spaceErratum: Big data and deep data in scanning and electron microscopies: deriving functionality from multidimensional data setsHierarchical optimization for neutron scattering problemsImage Reconstruction from Undersampled Fourier Data Using the Polynomial Annihilation TransformAn Adaptive Fourier Filter for Relaxing Time Stepping Constraints for Explicit SolversImage Reconstruction from Fourier Data Using Sparsity of EdgesStructural damage detection using the polynomial annihilation edge detection methodCharacterizing the elements of Earth's radiative budget: Applying uncertainty quantification to the CESMForewordError estimation in high dimensional space for stochastic collocation methods on arbitrary sparse samplesPreface of the "Mini symposium on advancing mathematics for stochastic simulations on extreme scales"Characterizing the elements of Earth's radiative budget: Applying uncertainty quantification to the CESMAdaptive discontinuous Galerkin methods in multiwavelets basesDiscontinuity detection in multivariate space for stochastic simulationsSupport Vector Machine-Based Endmember ExtractionDetermining the locations and discontinuities in the derivatives of functionsFeature Selection and Classification of Hyperspectral Images With Support Vector MachinesIndependent component analysis of nanomechanical responses of cantilever arraysUncooled MEMS IR imagers with optical readout and image processingOne-sided Post-processing for the Discontinuous Galerkin Method Using ENO Type Stencil Choosing and the Local Edge Detection MethodPolynomial Fitting for Edge Detection in Irregularly Sampled Signals and ImagesQ60151430Reducing the effects of noise in MRI reconstructionReducing the Gibbs ringing artifact in MRI scans while maintaining tissue boundary integrityBraggNet: integrating Bragg peaks using neural networks
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P50
description
onderzoeker
@nl
researcher, ORCID id # 0000-0002-4538-9780
@en
name
R. Archibald
@nl
Rick Archibald
@en
Rick Archibald
@es
type
label
R. Archibald
@nl
Rick Archibald
@en
Rick Archibald
@es
altLabel
R. Archibald
@en
prefLabel
R. Archibald
@nl
Rick Archibald
@en
Rick Archibald
@es
P108
P106
P1153
7005508091
P21
P2456
P31
P496
0000-0002-4538-9780