Results 181 to 190 of about 14,309 (209)
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Surrogate modeling and optimization of inductor performances using Kriging functions

2015 International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD), 2015
Integrated inductors are one of the most important passive elements in RF circuits. However, time-consuming simulations, such as electromagnetic simulations, have to be used to evaluate their performances with high accuracy. In order to overcome this problem, analytical models can be used.
F. Passos   +4 more
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Interval-valued random functions and the kriging of intervals

Mathematical Geology, 1988
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Conformal Based Uncertainty Bands for Predictions in Functional Ordinary Kriging

Functional Ordinary Kriging is the most widley used method to predict a curve at a given spatial point by computing a weighted average of observed functional values in space. Determining the uncertainty associated with predicted curves remains a challenge.
Anna De Magistris   +2 more
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MIXED COVARIANCE FUNCTION KRIGING MODEL FOR UNCERTAINTY QUANTIFICATION

International Journal for Uncertainty Quantification, 2022
Kai Cheng   +4 more
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Uncertainty evaluation in functional kriging with external drift

2014
We predict a curve at an unmonitored site taking into account exogenous variables using a functional kriging model with external drift. To evaluate uncertainty of the predicted curves, a semi-parametric bootstrap approach for spatially correlated data is adapted to functional data.
FRANCO VILLORIA, Maria   +1 more
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Mechanics and functional consequences of nuclear deformations

Nature Reviews Molecular Cell Biology, 2022
Andrew D Stephens   +2 more
exaly  

Structural and functional diversity of type IV secretion systems

Nature Reviews Microbiology, 2023
Tiago R D Costa, , Peter J Christie
exaly  

Downscaling of Precipitation Combining Kriging and Empirical Orthogonal Function Analysis

1999
The term downscaling denotes a procedure in which local climatic information is derived from large-scale climate parameters. In this paper, we conceive a downscaling procedure based on kriging and we present an example of the method by trying to reconstruct monthly winter precipitation in the Iberian Peninsula from the North Atlantic Sea Level Pressure
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