Results 151 to 160 of about 6,631 (202)

Automatic modeling of high genus geological bodies using improved EdgeConnect and deep plug and play super resolution GAN. [PDF]

Sci Rep
Ren B, Zuo Y, Han S, Song Y.
europepmc   +1 more source

Adaptive ensemble spatial analysis. [PDF]

Sci Rep
Egaña AF, Valenzuela MJ, Maleki M, Sánchez-Pérez JF, Díaz G.   +4 more
europepmc   +1 more source

Regional forest stock volume mapping using GEDI-based interpolation, multi-source remote sensing, and a multi-level stacking ensemble model in complex terrain. [PDF]

Front Plant Sci
Li Z, Shu Q, Fu L, Wei R, Zhang Y, Zhang X, Meng S.   +6 more
europepmc   +1 more source

Dual Evaluation and Spatial Analysis of RF-EMF Exposure in 5G: Theoretical Extrapolations and Direct Measurements. [PDF]

Bioelectromagnetics
Najera A, Villaescusa-Tebar A, Gonzalez-Rubio J, Garcia-Pardo C.   +3 more
europepmc   +1 more source

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Private Outsourced Kriging Interpolation

2017
Kriging is a spatial interpolation algorithm which provides the best unbiased linear prediction of an observed phenomena by taking a weighted average of samples within a neighbourhood. It is widely used in areas such as geo-statistics where, for example, it may be used to predict the quality of mineral deposits in a location based on previous sample ...
James Alderman, Benjamin R. Curtis, Oriol Farràs, Keith M. Martin, Jordi Ribes-González   +4 more
openaire   +1 more source

Kriging interpolation of a Bézier curve

Computer-Aided Design, 1991
The author shows that the parametric cubic equations of a Bèzier curve may be obtained from the kriging interpolation scheme.
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Privacy-preserving kriging interpolation on partitioned data

Knowledge-Based Systems, 2014
Kriging is well-known, frequently applied method in geo-statistics. Its success primarily depends on the total number of measurements for some sample points. If there are sufficient sample points with measurements, kriging will reflect the surface accurately. Obtaining a sufficient number of measurements can be costly and time-consuming.
Bulent Tugrul, Huseyin Polat 0001
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Texture Interpolation Using Ordinary Kriging

2005
We present a survey of the application of ordinary Kriging to texture interpolation using a variety of models that have been proposed to model the variogram of the image. The novelty of our approach is in the fully automated process of fitting the models to the data over a finite range of values.
Sunil Chandra, Maria Petrou, Roberta Piroddi   +2 more
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Kriging interpolation on high-performance computers

1998
We discuss Kriging Interpolation on high-performance computers as a method for spatial data interpolation. We analyse algorithms for implementing Kriging on high-performance and distributed architectures. In addition to a number of test problems, we focus on an application of comparing rainfall measurements with satellite imagery.
K. E. Kerry, Kenneth A. Hawick
openaire   +1 more source