A hybrid sparrow optimization Kriging model and its application in geological modeling
With the proposal of intelligent mines, the demand for drilling is increasing daily. Therefore, it is particularly crucial to gather more geological data by interpolation of limited drilling data for subsequent three-dimensional geological modeling.
Xiaonan Shi +3 more
doaj +1 more source
Kriging and Gaussian Process Interpolation for Georeferenced Data Augmentation
Data augmentation is a crucial step in the development of robust supervised learning models, especially when dealing with limited datasets. This study explores interpolation techniques for the augmentation of geo-referenced data, with the aim of predicting the presence of Commelina benghalensis L. in sugarcane plots in La R{é}union.
Frédérick Fabre Ferber +4 more
openaire +2 more sources
Accurate modeling of antennas using variable-fidelity EM simulations and co-kriging [PDF]
Couckuyt, Ivo +3 more
core +1 more source
Kriging-Based Finite Element Method: Element-By-Element Kriging Interpolation
An enhancement of the finite element method with Kriging shape functions (K-FEM) was recently proposed. In this method, the field variables of a boundary value problem are approximated using ‘element-by-element’ piecewise Kriging interpolation (el-KI).
Tjong, Wong Foek +1 more
openaire +1 more source
Interpolation among reduced-order matrices to obtain parameterized models for design, optimization and probabilistic analysis [PDF]
Degroote, Joris +2 more
core +2 more sources
Empirical semivariograms for kriging interpolation
Kriging interpolation is one of the more interesting techniques introduced in the field of surrogate modeling in the last years. This technique has been motivated by the necessity of data interpolation in the geological field in the late sixties. This approach is founded on the availability of the so called "variogram", defined as "a curve representing
openaire +1 more source
Comparative analysis of soil organic carbon across different land types in plateau wetlands using Kriging interpolation based on spatial heterogeneity. [PDF]
Wen X, Luo W, Yang X, Li F, Zhang Z.
europepmc +1 more source
Access to emergency medical services in Beijing: integrating web mapping application programming interfaces and empirical Bayesian Kriging interpolation analysis. [PDF]
Zhu H, Xu M, Zhu L, Tian S, Zhang J.
europepmc +1 more source
Estimating the Amount of the Wild Artemisia annua in China Based on the MaxEnt Model and Spatio-Temporal Kriging Interpolation. [PDF]
Wang J +5 more
europepmc +1 more source

