Results 11 to 20 of about 41,613 (278)
Fusing Direct and Indirect Measurements Through Multi-Fidelity Learning For Accelerated Electrocaloric Materials Discovery. [PDF]
Adv Sci (Weinh)A multi‐fidelity framework integrates sparse direct and abundant indirect electrocaloric measurements. Multi‐objective active learning accelerates BaTiO3‐based electrocaloric materials discovery at –70∘C$^{\circ }{\rm C}$. A diffuse transition enables an electrocaloric strength of 0.06×$\times$10−6 Km/V at –70℃ with an operational temperature span of ...
Wang B +8 more
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Exploration versus Exploitation Using Kriging Surrogate Modelling in Electromagnetic Design [PDF]
, 2011 This paper discusses the use of kriging surrogate modelling in multiobjective design optimisation in electromagnetics. The importance of achieving appropriate balance between exploration and exploitation is emphasised when searching for the global ...
Rotaru, M. +3 more
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IEEE Access, 2020 As the performance function of a mechanical structure is usually based on time-consuming computer codes, predicting time-dependent reliability analysis requires a large number of costly simulations in engineering.
Yutao Yan +3 more
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Spatial Prediction and Optimized Sampling Design for Sodium Concentration in Groundwater. [PDF]
PLoS ONE, 2016 Sodium is an integral part of water, and its excessive amount in drinking water causes high blood pressure and hypertension. In the present paper, spatial distribution of sodium concentration in drinking water is modeled and optimized sampling designs ...
Erum Zahid +6 more
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Scalarizing cost-effective multiobjective optimization algorithms made possible with kriging
, 2007 The use of kriging in cost-effective single-objective optimization is well established, and a wide variety of different criteria now exist for selecting design vectors to evaluate in the search for the global minimum.
Jan Sykulski +4 more
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Metamodel-Assisted Multidisciplinary Design Optimization of a Radial Compressor
International Journal of Turbomachinery, Propulsion and Power, 2019 Kriging is increasingly used in metamodel-assisted design optimization. For expensive simulations; however, one can afford only a few samples to build the Kriging model, which consequently lacks prediction accuracy.
Mohamed H. Aissa, Tom Verstraete
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Spatial Prediction of Real Sulfur Data Using the Ordinary Kriging Technique and Lognormal Kriging [PDF]
المجلة العراقية للعلوم الاحصائية, 2022 This research deals with the spatial prediction process in order to obtain the optimal prediction when the data are distributed normally. In this paper, we used the ordinary kriging technique and the lognormal kriging after taking the logarithm of the ...
Najla Sedek
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Горные науки и технологии, 2016 Geostatistics-based estimators, i.e. ordinary kriging and simple kriging, are state-of-the-art estimation techniques widely used in the mining industry.
Ngoc Luan Mai, Xuan Nam Bui
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Tropical Agricultural Research, 2018 This study was conducted to explore performances of multivariate geostatistical techniques, co-kriging and regression kriging in contrast to univariate ordinary kriging, to generate detailed maps of soil texture by using proximally sensed apparent ...
R. A. A. S. Rathnayaka +2 more
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Assessment of Severity of Droughts Using Geostatistics Method(Case Study: Southern Iran) [PDF]
Desert, 2013 Drought monitoring is a fundamental component of drought risk management. It is normally performed usingvarious drought indices that are effectively continuous functions of rainfall and other hydrometeorological variables.In many instances, drought ...
A. Nohegar, M. Heydarzadeh, A. Malekian
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