Results 21 to 30 of about 105,964 (266)

A Deep Regression Model with Low-Dimensional Feature Extraction for Multi-Parameter Manufacturing Quality Prediction

open access: yesApplied Sciences, 2020
Manufacturing quality prediction can be used to design better parameters at an earlier production stage. However, in complex manufacturing processes, prediction performance is affected by multi-parameter inputs.
Jun Deng, Yun Bai, Chuan Li
doaj   +1 more source

Adaptive ABC model choice and geometric summary statistics for hidden Gibbs random fields [PDF]

open access: yes, 2014
International audienceSelecting between different dependency structures of hidden Markov random field can be very challenging, due to the intractable normalizing constant in the likelihood.
Cucala, Lionel   +2 more
core   +1 more source

s-Goodness for Low-Rank Matrix Recovery

open access: yesAbstract and Applied Analysis, 2013
Low-rank matrix recovery (LMR) is a rank minimization problem subject to linear equality constraints, and it arises in many fields such as signal and image processing, statistics, computer vision, and system identification and control.
Lingchen Kong   +2 more
doaj   +1 more source

An intercomparison of stratospheric gravity wave potential energy densities from METOP GPS radio occultation measurements and ECMWF model data [PDF]

open access: yesAtmospheric Measurement Techniques, 2018
Temperature profiles based on radio occultation (RO) measurements with the operational European METOP satellites are used to derive monthly mean global distributions of stratospheric (20–40 km) gravity wave (GW) potential energy densities (EP ...
M. Rapp   +3 more
doaj   +1 more source

Complementing ERA5 and E-OBS with high-resolution river discharge over Europe

open access: yesOceanologia, 2023
The 0.5° resolution of many global observational or quasi-observational datasets is not sufficient for the evaluation of current state-of-the-art regional climate models or the forcing of ocean model simulations over Europe.
Stefan Hagemann, Tobias Stacke
doaj   +1 more source

Statistical inference for Gaussian Whittle-Matérn fields on metric graphs [PDF]

open access: yes, 2023
The Whittle-Matérn fields are a recently introduced class of Gaussian processes on metric graphs, which are specified as solutions to a fractional-order stochastic differential equation on the metric graph. Contrary to earlier covariance-based approaches
Bolin, David   +2 more
core  

Controlling the Flexibility of Non-Gaussian Processes Through Shrinkage Priors [PDF]

open access: yes, 2023
The normal inverse Gaussian (NIG) and generalized asymmetric Laplace (GAL) distributions can be seen as skewed and semi-heavy-tailed extensions of the Gaussian distribution.
Cabral∗, Rafael   +2 more
core   +1 more source

On the theory of translationally invariant magnetohydrodynamic equilibria with anisotropic pressure and magnetic shear [PDF]

open access: yes, 2015
Funding: STFC Doctoral Training Grant ST/K502327/1 (Jonathan Hodgson) and STFC Consolidated Grant ST/K000950/1 (Thomas Neukirch)We present an improved formalism for translationally invariant magnetohydrodynamic equilibria with anisotropic pressure and ...
Neukirch, Thomas   +3 more
core   +1 more source

Breast cancer screening knowledge among Hungarian women: a cross-sectional study

open access: yesBMC Women's Health, 2021
Background Breast cancer (BC) is the leading malignant tumor among women worldwide. Although attending regular BC screening effectively reduces cancer-related mortality, surveys testify that screening knowledge is critically low among women.
Diána Reményi Kissné   +3 more
doaj   +1 more source

Some Results on Majorization of Matrices

open access: yesAxioms, 2022
For two n×m real matrices X and Y, X is said to be majorized by Y, written as X≺Y if X=SY for some doubly stochastic matrix of order n. Matrix majorization has several applications in statistics, wireless communications and other fields of science and ...
Divya K. Udayan   +1 more
doaj   +1 more source

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