Results 151 to 160 of about 66,673 (199)

Tracking progress towards Sustainable Development Goal 3.2 in Kenya using time series models. [PDF]

BMJ Glob Health
Dlamini WJ, Melesse SF, Mwambi HG.
europepmc   +1 more source

A Machine Learning-Assisted Recognition and Compensation Method for UWB Ranging Errors in Complex Indoor Environments. [PDF]

Sensors (Basel)
Zhang J, Zhang G, Xu Y, Li Z, Wu H.
europepmc   +1 more source

Vamorolone for Duchenne Muscular Dystrophy: A Cross-Trial Efficacy Comparison With Classic Corticosteroids From the FOR-DMD Trial. [PDF]

Neurology
Clemens PR, Berglund A, Schiava M, James MK, McDermott MP, Bushby K, Lampa E, Rochford ETJ, Ward LM, Griggs RC, Hoffman EP, Guglieri M.   +11 more
europepmc   +1 more source

An Observational Study of the Factors Affecting Staffing Demands During Intrahospital Transfers. [PDF]

HERD
Tajdari M, Simeonidis C, Wolf L, Wiggermann N.   +3 more
europepmc   +1 more source

Neural encoding of innate preference to gravity-defying motion

Kobylkov D, Vallortigara G.
europepmc   +1 more source

Least squares moving finite elements [PDF]

IMA Journal of Numerical Analysis, 2001
The paper describes an extension of the moving finite element (MFE) method for steady-state pure convection problems, namely the least squares MFE method (LSMFE). By the direct treatment of the steady-state problem together with the minimization of a suitable residual functional, the LSMFE method ensures that the nodal points are not transported ...
Miller, Keith, Baines, Mike J.
openaire   +2 more sources

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The complex variable interpolating moving least-squares method

Applied Mathematics and Computation, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jing Cheng, Hongping Ren
exaly   +3 more sources

Analysis of a superconvergent recursive moving least squares approximation

Applied Mathematics Letters, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xiaolin Li
exaly   +3 more sources

Discontinuity-Preserving Moving Least Squares Method [PDF]

, 2004
We present a discontinuity-preserving moving-least-squares (MLS) method with applications in curve and surface reconstruction, domain partitioning, and image restoration. The fundamental power of this strategy rests with the moving support domain selection for each data point from its neighbors and the associated notion of compactly supported weighting
Huafeng Liu 0003, Pengcheng Shi
openaire   +2 more sources