Results 141 to 150 of about 5,570 (187)

Optimization of centrifugal fan for oolong tea shaking machine based on Kriging model and multi-objective particle swarm algorithm. [PDF]

Sci Rep
Ruan C, Chen Y, Zheng L, Guo B, Chen J, Yang J, Chen S.   +6 more
europepmc   +1 more source

Demystifying the connections between Gaussian Process Regression and Kriging

, 2023
Suryasentana, S. K., Sheil, B. B.
openaire   +1 more source

Geospatial and multilevel analysis of lifetime HIV testing uptake among high-risk adults in Mozambique: evidence from the 2022-2023 DHS. [PDF]

Int J Health Geogr
Yewodiaw TK, Endalew HL, Getnet M, Getahun AB, Mengstie TA, Enyew EF, Bitewa MD, Endale HT, Asefa T.   +8 more
europepmc   +1 more source

Multi-Objective Optimization of Dental Implant Designs With Multi-Recessed Holes: Insights From Static and Dynamic Finite Element Analysis. [PDF]

Int J Numer Method Biomed Eng
Chou IC, Huang SH, Lee CK, Prajapati MJ, Huang JC, Cheng YC, Jiang CP.   +6 more
europepmc   +1 more source

Mapping forest aboveground carbon stock of combined stratified sampling and RFRK model with mean annual temperature and precipitation. [PDF]

Sci Rep
Peng M, Xu M, Zhang J, Qiu B, Teng C, Chen C.   +5 more
europepmc   +1 more source

Surrogate modeling for time-dependent reliability analysis of robotic manipulator trajectories. [PDF]

PLoS One
Ayoob K, Elahi H, Zafar T, Hamza A, Wang Z.   +4 more
europepmc   +1 more source

Uncertainty quantification in DIC with Kriging regression [PDF]

Optics and Lasers in Engineering, 2016
A Kriging regression model is developed as a post-processing technique for the treatment of measurement uncertainty in classical subset-based Digital Image Correlation (DIC). Regression is achieved by regularising the sample-point correlation matrix using a local, subset-based, assessment of the measurement error with assumed statistical normality and ...
Dezhi Wang, F A Diazdelao, Weizhuo Wang   +2 more
exaly   +3 more sources

Some of the next articles are maybe not open access.

Related searches:

About regression-kriging: From equations to case studies

Computers and Geosciences, 2007
This paper discusses the characteristics of regression-kriging (RK), its strengths and limitations, and illustrates these with a simple example and three case studies. RK is a spatial interpolation technique that combines a regression of the dependent variable on auxiliary variables (such as land surface parameters, remote sensing imagery and thematic ...
Tomislav Hengl, Gérard B M Heuvelink, David G Rossiter   +2 more
exaly   +3 more sources