araveeporn, autcha
This research aims to explore and compare several nonparametric regression techniques, including smoothing splines, natural cubic splines, B-splines, and penalized spline methods. The focus is on estimating parameters and determining the optimal number of knots to forecast cyclic and nonlinear patterns, applying these methods to simulated and real-...
fernández-jambrina, leonardo
In this paper, we make use of an inverse formula that relates the blossom of a NURBS curve, surface or Bézier triangle with its parametrisation, with no explicit reference to the control points and weights of the parametrisation. We make use of this inverse formula to raise and lower the degree elevation and reduction.
Honvoh, Gilson D. Zoh, Roger S. Gupta, Anand Benden, Mark E. Tekwe, Carmen D.
Published in
Frontiers in Applied Mathematics and Statistics
Background Obesity has become an important threat to children’s health, with physical and psychological impacts that extend into adulthood. Limited physical activity and sedentary behavior are associated with increased obesity risk. Because children spend approximately 6 h each day in school, researchers increasingly study how obesity is influenced...
Poročnik, Gregor
Lévy-Leduc, Céline
In this article, we introduce a novel data-driven variable selection approach in a multivariate nonparametric regression model designed to capture only the variables on which the regression function depends. The core concept of our method consists in approximating the underlying function by a linear combination of B-splines of order M and their pai...
Mulej, Tim
Izogeometrična analiza je nov pristop k numeričnemu reševanju parcialnih diferencialnih enačb, pri katerem želimo prirediti metodo končnih elementov tako, da bo delovala tudi na območjih, ki so opisana s parametrizacijami, generiranimi s pomočjo orodij računalniško podprtega geometrijskega oblikovanja. Glavna ideja izogeometrične analize je, da ist...
materka, andrzej jurek, jakub
Accurate geometric modeling of blood vessel lumen from 3D images is crucial for vessel quantification as part of the diagnosis, treatment, and monitoring of vascular diseases. Our method, unlike other approaches which assume a circular or elliptical vessel cross-section, employs parametric B-splines combined with image formation system equations to...
Savino, Mary E. Lévy-Leduc, Céline
In this paper, we will outline a novel data-driven method for estimating functions in a multivariate nonparametric regression model based on an adaptive knot selection for Bsplines. The underlying idea of our approach for selecting knots is to apply the generalized lasso, since the knots of the B-spline basis can be seen as changes in the derivativ...
Lapandic, Dzenan
This thesis concerns motion planning and control of underactuated unmanned aerial and surface vehicles with special attention to disturbances. In the first part of the thesis, we examine trajectory tracking using Prescribed Performance Control (PPC) for the classes of underactuated aerial and surface vehicles, assuming that the model parameters ar...
Ramos, Pedro Vital Brasil de Oliveira Menezes, Gilberto Romeiro da Silva, Delvan Alves Lourenco, Daniela Santiago, Gustavo Garcia Torres Júnior, Roberto A A Silva, Fabyano Fonseca E Lopes, Paulo Sávio Veroneze, Renata
Published in
Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie
Feed efficiency plays a major role in the overall profitability and sustainability of the beef cattle industry, as it is directly related to the reduction of the animal demand for input and methane emissions. Traditionally, the average daily feed intake and weight gain are used to calculate feed efficiency traits. However, feed efficiency traits ca...
