Results 11 to 20 of about 77,394 (227)
Sensors, 2017 In the practice of interpolating near-surface soil moisture measured by a wireless sensor network (WSN) grid, traditional Kriging methods with auxiliary variables, such as Co-kriging and Kriging with external drift (KED), cannot achieve satisfactory ...
Jialin Zhang +5 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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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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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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Strategies for balancing exploration and exploitation in electromagnetic optimisation [PDF]
, 2012 The paper focuses on the advantages and drawbacks of different strategies which may be used to assist kriging surrogate modelling with the purpose of selecting multiple design vectors for evaluation when stepping forward in optimisation routines.
Rotaru, M., Sykulski, J.K., Xiao, Song
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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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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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Comparison of sensitivity of interpolation methods by rain gauge network density [PDF]
علوم و مهندسی آبیاریDifferent interpolation methods, each with their own strengths and weaknesses, are used to temporal and spatial estimation of precipitation. The accuracy of this estimate depends on the density of point data measured at rain gauge stations. In this study,
Amin Kanooni, Erfan Faraji Amogein
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Review of Dace-Kriging Metamodel [PDF]
Interdisciplinary Description of Complex Systems, 2023 This paper presents a conceptual review of the kriging metamodel that is introduced for the design and analysis of computer experiments (DACE). Kriging is a statistical interpolation method to build an approximation model from a set of evaluations of the
Muzaffer Balaban
doaj
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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