Results 81 to 90 of about 32,193 (219)
Bayesian analysis of hierarchical multi-fidelity codes [PDF]
, 2012 This paper deals with the Gaussian process based approximation of a code which can be run at different levels of accuracy. This method, which is a particular case of co-kriging, allows us to improve a surrogate model of a complex computer code using fast
Gratiet, Loic Le
core +2 more sources
Reliability-based design optimization using kriging surrogates and subset simulation
, 2011 The aim of the present paper is to develop a strategy for solving reliability-based design optimization (RBDO) problems that remains applicable when the performance models are expensive to evaluate.
Bourinet, J. -M. +2 more
core +3 more sources
River Research and Applications, EarlyView.ABSTRACT Knowledge of habitat availability is critically important for the management and recovery of freshwater species. Quantifying habitat availability often requires fine‐scale sampling at point‐based locations across a large geographic extent, which can be laboursome.
Karl A. Lamothe +2 more
wiley +1 more source
Multi-fidelity optimization via surrogate modelling
, 2007 This paper demonstrates the application of correlated Gaussian process based approximations to optimization where multiple levels of analysis are available, using an extension to the geostatistical method of co-kriging.
Forrester, Alexander I.J. +2 more
core +1 more source
Full-field digital image correlation with Kriging regression [PDF]
Optics and Lasers in Engineering, 2015 A full-field Digital Image Correlation (DIC) method with integrated Kriging regression is presented in this article. The displacement field is formulated as a best linear unbiased model that includes the correlations between all the locations in the Region of Interest (RoI). A global error factor is employed to extend conventional Kriging interpolation
Wang, D +3 more
openaire +2 more sources
Bath Vibration During Open Eye Formation in a Physical Model of a Steelmaking Ladle
steel research international, EarlyView.Using a physical model, this study shows that vibration measurements reliably predict open eye size in steelmaking ladles, offering a practical alternative to visual monitoring. Vessel vibrations stabilize faster than the open eye, except at high frequencies near the bottom.
Mika Pylvänäinen +6 more
wiley +1 more source
Coastline Kriging: A Bayesian Approach
, 2018 Statistical interpolation of chemical concentrations at new locations is an important step in assessing a worker's exposure level. When measurements are available from coastlines, as is the case in coastal clean-up operations in oil spills, one may need ...
Abdalla, Nada +4 more
core +1 more source
Feature-free regression kriging
Spatial interpolation is a crucial task in geography. As perhaps the most widely used interpolation methods, geostatistical models -- such as Ordinary Kriging (OK) -- assume spatial stationarity, which makes it difficult to capture the nonstationary characteristics of geographic variables.
Luo, Peng, Wu, Yilong, Song, Yongze
openaire +2 more sources
Wildlife Biology, EarlyView.Long‐term population monitoring is fundamental to wildlife population management. Furbearer populations are often surveyed using multiple methods, but many estimates of their abundance, especially abundance indices, do not account for detection error, and lead to conflicting interpretations of population trends.
Lauren C. Scopel +4 more
wiley +1 more source
Area-to-point regression kriging for pan-sharpening
ISPRS Journal of Photogrammetry and Remote Sensing, 2016 Pan-sharpening is a technique to combine the fine spatial resolution panchromatic (PAN) band with the coarse spatial resolution multispectral bands of the same satellite to create a fine spatial resolution multispectral image. In this paper, area-to-point regression kriging (ATPRK) is proposed for pan-sharpening.
Wang, Q, Shi, W, Atkinson, PM
openaire +2 more sources