Results 51 to 60 of about 93,759 (275)
Local approximation by splines with displacement of nodes [PDF]
We consider the problem of approximating a function defined on a uniform mesh by the method of local polynomial spline-approximation where the mesh of the nodes of the spline is chosen displaced relative to the mesh of the initial data.
Shevaldin, V. T. +2 more
core +1 more source
Objective Recent inflammatory bowel disease (IBD) treatment guidelines have recommended against nonsteroidal anti‐inflammatory drug (NSAID) use despite prevalent musculoskeletal symptoms and opioid overuse in this population. Given the discordance between changing national guidelines and potential clinical utility, we sought to assess national temporal
Adam S. Mayer +5 more
wiley +1 more source
Spline approximation with preservation of moments
Not available.
Petru Blaga
doaj +2 more sources
Cubic B-spline curve approximation by curve unclamping [PDF]
International audienceA new approach for cubic B-spline curve approximation is presented. The method produces an approximation cubic B-spline curve tangent to a given curve at a set of selected positions, called tangent points, in a piecewise manner ...
Chen, Xiao-Diao +2 more
core +3 more sources
Objective We assessed the effectiveness of PrismRA to improve clinical outcomes among patients with rheumatoid arthritis (RA) initiating treatment with a biologic or targeted synthetic disease‐modifying antirheumatic drug (b/tsDMARD). Methods PrismRA incorporated 19 gene expression features and four clinical features to assess a patient's likelihood of
Fenglong Xie +3 more
wiley +1 more source
Neutrosophication of Neutrosophic B-Spline Curve Approximation Model [PDF]
The neutrosophication process involves transforming crisp input value into neutrosophic value. It is a primary and crucial step for the operations within a neutrosophic set and system.
Siti Nur Idara Rosli +1 more
doaj +1 more source
Uniqueness and approximation orders of perfect splines are studied in this article. In the main result, upper bounds to the best approximation by perfect splines to continuous functions are provided. Moreover, the approximation results are related to the so-called \(\Sigma\Delta\) modulation of bandlimited univariate signals.
Hu, Y.-K., Yu, X.M.
openaire +2 more sources
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Component Selection in the Additive Regression Model [PDF]
Similar to variable selection in the linear regression model, selecting significant components in the popular additive regression model is of great interest.
Cui, Xia +3 more
core
Development and Modelling of High-Efficiency Computing Structure for Digital Signal Processing
The paper is devoted to problem of spline approximation. A new method of nodes location for curves and surfaces computer construction by means of B-splines and results of simulink-modeling is presented.
Lee, Hoon Jae +2 more
core +1 more source

