Results 41 to 50 of about 2,738 (206)

Modelling of radionuclide migration through the geosphere with radial basis function method and geostatistics [PDF]

, 2004
The modelling of radionuclide transport through the geosphere is necessary in the safety assessment of repositories for radioactive waste. A number of key geosphere processes need to be considered when predicting the movement of radionuclides through the
Runovc, Franc, Turk, Goran, Vrankar, Leopold   +2 more
core   +1 more source

Spatial characteristics of thunderstorm rainfall fields and their relation to runoff [PDF]

, 2003
The main aim of this study was to assess the ability of simple geometric measures of thunderstorm rainfall in explaining the runoff response from the watershed. For calculation of storm geometric properties (e.g.
Goodrich, DC, Myers, DE, Sorooshian, S, Syed, KH   +3 more
core   +1 more source

Local interpolation schemes for landmark-based image registration: a comparison

, 2014
In this paper we focus, from a mathematical point of view, on properties and performances of some local interpolation schemes for landmark-based image registration.
Allasia, Giampietro, Cavoretto, Roberto, De Rossi, Alessandra   +2 more
core   +1 more source

Evaluate the Prediction Level of Polar Motion Interpolation for 6 hr in Ideal and Real Environments

Earth and Space Science, Volume 13, Issue 1, January 2026.
Abstract With the increasing demands for global development, deep space exploration missions are taking place more frequently, rendering the traditional 24‐hr Polar Motion (PM) predictions inadequate for supporting the frequent operations of spacecraft.
Wei Miao, Xueqing Xu, Yonghong Zhou
wiley   +1 more source

An Efficient and Regularized Modeling Method for Massive Scattered Data Combining Triangulated Irregular Network and Multiquadric Function

Mathematics
Spatial discrete data modeling plays a crucial role in geoscientific data analysis, with accuracy and efficiency being significant factors to consider in the modeling of massive discrete datasets.
Haifei Liu, Yuhao Zhang, Xin Liu, Ijaz Ahmed, Jianxin Liu   +4 more
doaj   +1 more source

Efficient Numerical Solution of the Sharma-Tasso-Olver Equation Using Radial Basis Function-Pseudo Spectral Method with Comparative Analysis

Wasit Journal for Pure Sciences
In this study, we will solve the Sharma-Tasso-Olver equation by utilizing the radial basis function-pseudo spectral approach. Pseudo spectral techniques are renowned for their exceptional precision but have constraints regarding their ability to handle ...
Luqman Zebari
doaj   +1 more source

Hermite Method of Approximate Particular Solutions for Solving Time-Dependent Convection-Diffusion-Reaction Problems

Mathematics, 2022
This article describes the development of the Hermite method of approximate particular solutions (MAPS) to solve time-dependent convection-diffusion-reaction problems.
Jen-Yi Chang, Ru-Yun Chen, Chia-Cheng Tsai   +2 more
doaj   +1 more source

Local RBF approximation for scattered data fitting with bivariate splines [PDF]

, 2005
In this paper we continue our earlier research [4] aimed at developing effcient methods of local approximation suitable for the first stage of a spline based two-stage scattered data fitting algorithm.
A. Björck, A. Iske, H. Wendland, J.R. McMahon, K. Jetter, L.L. Schumaker, M.S. Floater, O. Davydov, R. Schaback, R. Schaback   +9 more
core   +2 more sources

Integrated multiquadric radial basis function approximation methods

Computers & Mathematics with Applications, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Hybrid Vision Transformer With Convolutional Blocks Approach for Subsurface Electrical Resistivity Tomography Inversion

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.
Abstract Electrical Resistivity Tomography (ERT) is widely used for subsurface imaging. Despite recent advancements in machine learning based ERT inversion using conventional deep learning models such as CNN and UNet, accurately delineating resistivity profiles of natural and artificial subsurface anomalies remains challenging.
Huichao Yin, Kenneth C. Carroll, Yusen Yuan, Ahsan Jamil, Dale F. Rucker, Zhenxue Dai, Mohamad Reza Soltanian   +6 more
wiley   +1 more source