Results 61 to 70 of about 3,105,745 (172)
Experiment / simulation integrated shape optimization using variable fidelity Kriging model approach
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2017 An attempt of experiment / simulation integrated design optimization is performed for the blade airfoil shape of a vertical axis wind turbine. A variable fidelity Kriging surrogate model approach is utilized in this integrated design optimization, in ...
Wataru YAMAZAKI
doaj +1 more source
A conversation with James V. Zidek
Canadian Journal of Statistics, Volume 54, Issue 3, September 2026.Abstract This article documents a series of exchanges between the authors and the senior Canadian statistician Jim Zidek in early 2026. The interview traces his life trajectory, surveying his principal contributions to statistics while offering insights into his motivations, successes, and challenges.
Christian Genest, Nancy E. Heckman
wiley +1 more source
Simulation‐based optimization of mega‐environmental designs for sparse multi‐environment testing
Crop Science, Volume 66, Issue 5, September/October 2026.Abstract Plant breeding programs aim to identify superior varieties by evaluating potential varieties in a network of locations, and these evaluations are often called multi‐environment trials. It is important to optimize multi‐environment trials in terms of resource allocation to ensure accurate and efficient experiments.
Raegan Hoefler, Lucia Gutierrez
wiley +1 more source
Kriging Models That Are Robust With Respect to Simulation Errors [PDF]
In the field of the Design and Analysis of Computer Experiments (DACE) meta-models are used to approximate time-consuming simulations. These simulations often contain simulation-model errors in the output variables.
Siem, A.Y.D., Hertog, D. den
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Conformal Prediction for Functional Kriging Models
, 2023 In this work we introduce a conformal prediction method for functional kriging. Conformal Prediction (CP) is a framework in machine learning and statistical inference that provides a principled way to quantify uncertainty and make predictions ...
Diana A., Romano E., Adzic J.
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Ecosphere, Volume 17, Issue 9, September 2026.Abstract Predicting aboveground net primary production (ANPP) fluctuations across various spatial and temporal scales is of critical interest to researchers and land managers alike. Interannual variation in precipitation is a key control on ANPP, particularly in semiarid environments.
Thomas K. Merchant +5 more
wiley +1 more source
Kriging for Interpolation in Random Simulation [PDF]
Whenever simulation requires much computer time, interpolation is needed. There are several interpolation techniques in use (for example, linear regression), but this paper focuses on Kriging.This technique was originally developed in geostatistics by D ...
Kleijnen, J.P.C., Beers, W.C.M. van
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Environmetrics, Volume 37, Issue 6, September 2026.ABSTRACT The formation of ground‐level ozone follows complex nonlinear photochemical processes that depend on multiple environmental factors and have strong spatio‐temporal structures. Environmental data used to study these dynamics usually originate from multiple sources, including in situ monitoring stations and satellite observations.
Mika Sipilä +5 more
wiley +1 more source
Industrial Crops and ProductsControlled release fertilizers constitute a high-value segment of industrial crop products. However, their efficacy in sustainable agriculture relies heavily on functional integrity, which is often compromised by mechanical damage during application ...
Yangyang Kong +5 more
doaj +1 more source
JOR SPINE, Volume 9, Issue 3, September 2026.The inferior facet of the L2 vertebra and the superior facet of the L3 vertebra were harvested from ovine lumbar spines. The spatial biomechanical properties of the facet cartilage surfaces were determined by indentation mapping. Cartilage structure was spatially analyzed on a macroscopic and microscopic level.
Luisa de Roy +6 more
wiley +1 more source