Results 11 to 20 of about 82,986 (296)
A Deep Learning Approach for Predicting Spatiotemporal Dynamics From Sparsely Observed Data
IEEE Access, 2021 In this paper, we consider the problem of learning prediction models for spatiotemporal physical processes driven by unknown partial differential equations (PDEs).
Priyabrata Saha, Saibal Mukhopadhyay
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Construction of Cubic Timmer Triangular Patches and its Application in Scattered Data Interpolation
Mathematics, 2020 This paper discusses scattered data interpolation by using cubic Timmer triangular patches. In order to achieve C1 continuity everywhere, we impose a rational corrected scheme that results from convex combination between three local schemes.
Fatin Amani Mohd Ali +6 more
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On the Constrained Solution of RBF Surface Approximation
Mathematics, 2022 In this contribution, a scattered data approximation problem, chosen from the literature and using the Radial Basis Function (RBF) approach, is considered for the application of point cloud modelling.
Anastasia Pasioti
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Cubic Bézier-Like Triangular Patches for Rainfall Scattered Data Interpolation and Visualization [PDF]
ITM Web of ConferencesScattered data interpolation plays an important role in computer graphics and scientific visualization. This method can be used to interpolate any regular or irregular data sets. For instance, rainfall distribution is an example of an irregular data that
Abdul Karim Samsul Ariffin +7 more
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Advances in Difference Equations, 2020 This paper discusses the functional scattered data interpolation to interpolate the general scattered data. Compared with the previous works, we construct a new cubic Bézier-like triangular basis function controlled by three shape parameters.
Samsul Ariffin Abdul Karim +5 more
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Interpolation and scattered data fitting on manifolds using projected Powell–Sabin splines [PDF]
, 2008 We present methods for either interpolating data or for fitting scattered data on a two-dimensional smooth manifold. The methods are based on a local bivariate Powell-Sabin interpolation scheme, and make use of a family of charts {(Uξ , ξ)}ξ∈ satisfying ...
Davydov, O., Schumaker, L.L.
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The 1-D Hermite Shepard and MLS method [PDF]
Mathematics and Computational Sciences, 2021 In many applications, one encounters the problem of approximating 1-D curve and 2-D surfaces from data given on a set of scattered points. Meshless methods strategy is based on some facts: (1) deleting mesh generation and re-meshing, (2) raising smooth ...
M Ghorbani, M Garshasbi
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Image reconstruction from scattered Radon data by weighted positive definite kernel functions [PDF]
, 2018 We propose a novel kernel-based method for image reconstruction from scattered Radon data. To this end, we employ generalized Hermite–Birkhoff interpolation by positive definite kernel functions. For radial kernels, however, a straightforward application
De Marchi, S., Iske, A., Santin, G.
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Scattered Data Interpolation: Tests of Some Method [PDF]
Mathematics of Computation, 1982 This paper is concerned with the evaluation of methods for scattered data interpolation and some of the results of the tests when applied to a number of methods. The process involves evaluation of the methods in terms of timing, storage, accuracy, visual pleasantness of the surface, and ease of implementation.
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Transfer learning-based electrocardiogram classification using wavelet scattered features
Biomedical and Biotechnology Research Journal, 2023 Background: The abnormalities in the heart rhythm result in various cardiac issues affecting the normal functioning of the heart. Early diagnosis helps prevent serious outcomes and to treat them effectively.
R S Sabeenian, K K Sree Janani
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