Search Results - "Kriging"

A structural reliability analysis method based on Kriging model with adaptive nested sampling.

Authors: Zhang, Ziyi Pu, Qianhui

Source: Advances in Structural Engineering. Apr2026, Vol. 29 Issue 6, p1027-1046. 20p.

Subjects: Kriging, Adaptive sampling (Statistics), Monte Carlo method, Sampling methods, Structural engineering, Structural reliability, Prediction models, Structural failures

Nested-Level Optimization of a Permanent Magnet Synchronous Motor Embedded in Energy Management for Hybrid Electric Vehicles.

Authors: Jin, Zhijia Liang, Cong Lu, Xin et al.

Source: Progress in Electromagnetics Research C; 2026, Vol. 168, p39-47, 9p

Uncertainty Quantification and Global Sensitivity Analysis for Radio Wave Propagation in Evaporation Duct.

Authors: Li, Mingjian Liu, Liguo

Source: Remote Sensing. Jun2026, Vol. 18 Issue 11, p1808. 24p.

Spatialize v1.0: a Python/C++ library for ensemble spatial interpolation.

Authors: Navarro, Felipe Egaña, Alvaro F. Ehrenfeld, Alejandro et al.

Source: Geoscientific Model Development. 2026, Vol. 19 Issue 10, p4633-4660. 28p.

Feasibility of Applying Kriging for Earthquake Ground Motion Intensity Measures in South Korea.

Authors: Yee, Eric Kim, Jung-ho

Source: Applied Sciences (2076-3417); May2026, Vol. 16 Issue 9, p4197, 17p

Chaos–Quantum Particle Swarm Optimized Kriging for Symmetric Response Modeling and Multi-Objective Marketing Optimization in E-Commerce Systems.

Authors: Li, Jingyi Sheng, Xin Luo, Xiaohui

Source: Symmetry (20738994). May2026, Vol. 18 Issue 5, p770. 27p.

Exploiting Supervised Principal Component Analysis for Efficient High‐Dimensional Kriging Modeling.

Authors: Chen, Haiying Shen, Jingfang Li, Yaohui et al.

Source: International Journal of Mathematics & Mathematical Sciences. 4/20/2026, Vol. 2026, p1-18. 18p.

Spatial prediction of dog population distribution in Kenya.

Authors: Das, Moumita Aguirreburualde, Maria Sol Perez Peter, Shepelo Getrude et al.

Source: PLoS ONE. 4/13/2026, Vol. 21 Issue 4, p1-15. 15p.

Reliability Analysis of Turbine Blade–Disk Dovetail Joints Considering Failure Correlation.

Authors: Wang, Shaohua Yuan, Hua Liu, Xi et al.

Source: Crystals (2073-4352); Apr2026, Vol. 16 Issue 4, p257, 32p

基于对数比转换的地统计插值与随机森林耦合的土壤 颗粒组分空间建模.

Alternate Title: Spatial modeling of soil particle size distribution based on log-ratio transformation and random forest optimization.

Authors: 刘水清 刘宇轩 尚松浩

Source: Transactions of the Chinese Society of Agricultural Engineering. Apr2026, Vol. 42 Issue 7, p98-106. 9p.

DCENT‐I: A Globally Infilled Extension of the Dynamically Consistent ENsemble of Temperature Dataset.

Authors: Chan, Duo Chan, Steven C. Siddons, Joseph T. et al.

Source: Geoscience Data Journal. Apr2026, Vol. 13 Issue 2, p1-14. 14p.

Gaussian Process-Based Random Search for Continuous Optimization via Simulation.

Authors: Wang, Xiuxian Hong, L. Jeff Jiang, Zhibin et al.

Source: Operations Research. Jan/Feb2025, Vol. 73 Issue 1, p385-407. 23p.

RSDS: an efficient adaptive Kriging-based method for structural reliability analysis considering the distance between sample points.

Authors: Changli, Wang Xiao, Junfeng Huang, Xianzhen et al.

Source: Quality Technology & Quantitative Management. Jul2026, Vol. 23 Issue 4, p610-636. 27p.

Comparative Analysis of Surrogate Models for Organic Rankine Cycle Turbine Optimization.

Authors: Kim, Yeun-Seop Seo, Jong-Beom Lee, Ho-Saeng et al.

Source: Energies (19961073). Mar2026, Vol. 19 Issue 5, p1372. 20p.

Subject Terms: *Kriging, *Radial basis functions, *Rankine cycle, *Computational fluid dynamics, *Turbine aerodynamics, *Aerodynamics, *Statistical models

Numerical Optimization of Thermal Performance Using Kriging Method in a Propulsion Motor.

Authors: Yang, Sungjin Shin, Yongwoo Son, Gihun et al.

Source: Heat Transfer Engineering. 2026, Vol. 47 Issue 2, p150-169. 20p.

Subject Terms: *Kriging, *Computational fluid dynamics, *Electric motors, *Mathematical optimization, *Temperature control, *Cooling systems, *Temperature distribution, *Electric propulsion

Spatial Densification of Coastal Sea Surface Temperature and Chlorophyll via Bayesian Kriging.

Authors: Vassilis, Andronis Vassilia, Karathanassi

Source: Remote Sensing. Mar2026, Vol. 18 Issue 5, p675. 34p.

Subjects: Kriging, Uncertainty (Information theory), Remote sensing, Ocean temperature, Spatial resolution, Geographic spatial analysis, Chlorophyll, Environmental monitoring

Geographic Terms: Portugal, Algarve (Portugal), Italy

A Novel Method for Reducing Uncertainty in Subglacial Topography: Implications for Greenland Ice Sheet Volume and Stability.

Authors: Bartlett, Oliver T. Palmer, Steven J.

Source: Remote Sensing. Jan2026, Vol. 18 Issue 1, p16. 22p.

Subjects: Greenland ice, Kriging, Mass budget (Geophysics), Climate change, Sea level, Glacial landforms, Analysis of variance

Geographic Terms: Greenland Ice Sheet (Greenland), Greenland

A Transfer Learning-Based Hybrid Surrogate Modeling Framework for Efficient Multi-Objective Seismic Design of Long-Span Cable-Stayed Bridges.

Authors: Han, Zhenfeng She, Deming Liu, Jun

Source: Buildings (2075-5309); Mar2026, Vol. 16 Issue 5, p904, 38p

A Geostatistical Study of a Fuzzy-Based Dataset from Airborne Magnetic Particle Biomonitoring.

Authors: Molinari, Daniela A. Chaparro, Mauro A. E. Guerrero, Aureliano A. et al.

Source: Aerobiology. Mar2026, Vol. 4 Issue 1, p1. 16p.

When Does Geostatistical Interpolation Work? Monthly and Hourly Sensitivity of Ordinary Kriging for Urban Air Pollutant Mapping in Mexico City.

Authors: Hernández-Gress, Eva Selene Conchouso González, David

Source: Algorithms. Mar2026, Vol. 19 Issue 3, p213. 24p.