Results 31 to 40 of about 78,859 (235)

Polynomial-Chaos-based Kriging

, 2015
Computer simulation has become the standard tool in many engineering fields for designing and optimizing systems, as well as for assessing their reliability.
Schoebi, R., Sudret, B., Wiart, J.
core   +1 more source

A Comparative Study of Different Multi-Fidelity Kriging Models for Reliability Analysis

Applied Sciences
The integration of active learning methods and multi-fidelity (MF) Kriging models has been demonstrated to effectively reduce the number of high-fidelity (HF) samples required for reliability analysis.
Shichao Feng, Yitao Wang, Xin Hu, Lingliang Feng, Yanqing Li, Zhengquan Wan   +5 more
doaj   +1 more source

Robust variable-fidelity optimization of microwave filters using co-Kriging and trust regions [PDF]

, 2013
A
Couckuyt, Ivo, Dhaene, Tom, Koziel, S, Leifsson, L   +3 more
core   +2 more sources

Kriging Methodology for Uncertainty Quantification in Computational Electromagnetics

IEEE Open Journal of Antennas and Propagation
We present the implementation and use of the Kriging methodology, i.e., surrogate models based on Kriging interpolation, in uncertainty quantification (UQ) in computational electromagnetics (CEM).
Stephen Kasdorf, Jake J. Harmon, Branislav Notaros   +2 more
doaj   +1 more source

Optimale Methoden zur Interpolation von Umweltvariablen in Geographischen Informationssystemen [PDF]

Geographica Helvetica
In Geographie Information Systems there are many applications where the objeets of study can only be described by sampling information at selected point locations and by subsequent interpolation.
P. A. Burrough
doaj   +1 more source

Optimizing Structural Parameters of a Water Distribution Device in Cylindrical High‐Flowrate Mixed Bed Using Multiobjective Genetic Algorithm

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT High‐flowrate mixed bed is the foremost desalination equipment in the condensate polishing system. The water distribution device determining the water distribution uniformity directly affects its operation stability, output water quality, and service life of the resins.
Jing Zhu, Yuhan Liu, Kai Tuo, Xiaohong Zhang, Zhe Xia, Zhao Wang   +5 more
wiley   +1 more source

Late‐Onset Rheumatoid Arthritis and Air Pollution in the Multiethnic Cohort

Arthritis &Rheumatology, EarlyView.
Objective To evaluate the effects of ambient air pollution on rheumatoid arthritis (RA) incidence in a racially and ethnically diverse population. Methods This analysis included 42,152 California Multiethnic Cohort participants, aged ≥65 years (>70% African American and Latino adults) who were enrolled in the Fee For Service component of Medicare (2001–
Anna H. Wu, Chiuchen Tseng, Song‐Yi Park, Daniel O. Stram, Kami White, Jun Wu, Cheryl Vigen, Veronica W. Setiawan, Xian Yu, Steven Gazal, Christopher Haiman, Lynne Wilkens, Loïc Le Marchand, Iona Cheng, William Stohl   +14 more
wiley   +1 more source

Borehole‐Based Interval Kriging for 3D Lithofacies Modeling

Water Resources Research
Developing a three‐dimensional (3D) lithofacies model from boreholes is critical for providing a coherent understanding of complex subsurface geology, which is essential for groundwater studies.
Yuqi Song, Frank T.‐C. Tsai
doaj   +1 more source

A partial envelope approach for modelling multivariate spatial‐temporal data

Canadian Journal of Statistics, EarlyView.
Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja, Wenbo Wu, Victor De Oliveira, Keying Ye   +3 more
wiley   +1 more source

Comparation to the Methods of Interpolation with ASTER GDEM V2 Based on ICESat/GLA14 Lvliang Mountains in Shanxi Province

Chemical Engineering Transactions, 2015
ICESat/GLA14, a series of altitude points with high accuracy, it can be used for ASTER GDEM data’s accuracy correction, while the rational interpolation method is the important guarantee for the quality of ASTER GDEM data correction results.
D.C. He, L. Wang, B.L. Gao, C.W. Xu, J.J. Chen   +4 more
doaj   +1 more source