Results 41 to 50 of about 3,769,150 (256)

Spatial Modelling and Prediction Assessment of Soil Iron Using Kriging Interpolation with pH as Auxiliary Information

open access: yesISPRS International Journal of Geo-Information, 2017
In this study, different interpolation techniques are presented, assessed, and compared for the estimation of soil iron (Fe) contents in locations where observations were not available.
Panagiotis Tziachris   +3 more
doaj   +1 more source

Scalarizing cost-effective multiobjective optimization algorithms made possible with kriging

open access: yes, 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
core   +1 more source

A Novel Combination Co-Kriging Model Based on Gaussian Random Process

open access: yesMathematical Problems in Engineering, 2018
Co-Kriging (CK) modeling provides an efficient way to predict responses of complicated engineering problems based on a set of sample data obtained by methods with varying degree of accuracy and computation cost. In this work, the Gaussian random process (GRP) is introduced to construct a novel combination CK model (CK-GRP) to improve the prediction ...
Huan Xie   +4 more
openaire   +1 more source

A partial envelope approach for modelling multivariate spatial‐temporal data

open access: yesCanadian 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   +3 more
wiley   +1 more source

OPTIMIZATION OF MULTI-FIDELITY DATA USING CO-KRIGING FOR HIGH DIMENSIONAL PROBLEMS [PDF]

open access: yesThe International Conference on Applied Mechanics and Mechanical Engineering, 2014
ABSTRACTThis paper deals with an efficient and multi-fidelity design strategy for high dimensional industrial problems. The most significant factors have been determined based on the Muschelknautz method of modeling (MM) using the screening approach. For cyclone separator, only four (from seven) geometrical parameters are significant.
Elsayed, Khairy, Lacor, Christian
openaire   +2 more sources

A comprehensive assessment of spatial interpolation methods for the groundwater quality evaluation of Lahore, Punjab, Pakistan

open access: yesNUST Journal of Engineering Sciences, 2017
Spatial interpolation is commonly used to generate water quality surfaces, but different spatial interpolation methods yield different surfaces from the same data.
Syed Umair Shahid   +2 more
doaj   +1 more source

Advancing mine pillar design: Evaluating traditional methods and integrating AI for enhanced stability of pillars in the Great Dyke, Zimbabwe

open access: yesDeep Underground Science and Engineering, EarlyView.
B1 is bord width 1, B2 is bord width 2, L is the pillar length, W is the pillar width, red color and letter A represent the pillars, and white color and number 1 represent excavated areas. Pstress is the average pillar stress; σv is the vertical component of the virgin stress, MPa; and e is the areal extraction ratio. e = B o B o + B P ${\rm{e}}=\frac{{
Tawanda Zvarivadza   +4 more
wiley   +1 more source

Assessing the Spatial Distribution of Rainfall and the Effect of Altitude in Iran (Hamadan Province)

open access: yesAir, Soil and Water Research, 2017
Atmospheric phenomena have an enormous influence on natural resources and human life. Lack of sufficient information and knowledge in regard to the management of natural areas and ecosystems will bring about a huge cost. Hamadan province according to the
Seyyed Hadi Sadeghi   +2 more
doaj   +1 more source

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

open access: yesDeep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li   +4 more
wiley   +1 more source

Failure Probability Assessment using co-Kriging Surrogate Models

open access: yesProcedia Engineering, 2015
Abstract Industries, among them the aeronautics industry, have to justify the reliability of the structures they design. Static and modal analyzes are the classical methods to validate designs. Nowadays, these are not sufficient anymore, and the damage tolerance approaches, characterizing the severity of a flaw occurring in the designed assembly, are
Lefebvre, J.-P.   +5 more
openaire   +1 more source

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