Results 11 to 20 of about 14,309 (209)
Bootstrap based uncertainty bands for prediction in functional kriging [PDF]
Spatial Statistics, 2017 The increasing interest in spatially correlated functional data has led to the development of appropriate geostatistical techniques that allow to predict a curve at an unmonitored location using a functional kriging with external drift model that takes into account the effect of exogenous variables (either scalar or functional).
FRANCO VILLORIA, Maria +1 more
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Extending Functional kriging to a multivariate context [PDF]
, 2020 Environmental data usually have a spatio-temporal structure; pollutant concentrations, for example, are recorded along time and space. Generalized Additive Models (GAMs) represent a suitable tool to model spatial and/or temporal trends of this kind of data, that can be treated as functional, although they are collected as discrete observations ...
francesca di salvo +2 more
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Parameter Analysis and Optimization of Annular Jet Pump Based on Kriging Model
Applied Sciences, 2020 Jet pump efficiency heavily relies on the geometrical parameters of the pump design and parameter global optimization in the full variable space is still a big challenge.
Kai Xu +6 more
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Soft Tissue Deformation Modeling in the Procedure of Needle Insertion: A Kriging-Based Method
Chinese Journal of Mechanical Engineering, 2022 The simulation and planning system (SPS) requires accurate and real-time feedback regarding the deformation of soft tissues during the needle insertion procedure. Traditional mechanical-based models such as the finite element method (FEM) are widely used
Yong Lei, Murong Li, Dedong Gao
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Applied Sciences, 2022 To evaluate the functional reliability of the pyrotechnic igniter in the failure mode of unstable combustion at low temperature, a reliability and reliability sensitivity analysis method based on the combination of an interior ballistic model and Kriging
Lei Niu +5 more
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Mathematics, 2020 Cokriging is a geostatistical technique that is used for spatial prediction when realizations of a random field are available. If a secondary variable is cross-correlated with the primary variable, both variables may be employed for prediction by means ...
Ramón Giraldo +2 more
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Spatial prediction of soil infiltration using functional geostatistics
Acta Universitatis Carolinae Geographica, 2018 The infiltration of water into the soil is a necessary parameter for irrigation systems design. Characterizing its spatial behavior allows a site-specific management of water according to soil conditions and crop requirements. The aim of this study is to
Diego Leonardo Cortes-D +2 more
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Fast Performance Modeling across Different Database Versions Using Partitioned Co-Kriging
Applied Sciences, 2021 Database systems have a large number of configuration parameters that control functional and non-functional properties (e.g., performance and cost). Different configurations may lead to different performance values.
Rong Cao +6 more
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Machine learning with systematic density-functional theory calculations: Application to melting temperatures of single and binary component solids [PDF]
, 2014 A combination of systematic density functional theory (DFT) calculations and machine learning techniques has a wide range of potential applications.
Maekawa, Tomoya +3 more
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Advanced Kriging response surface approach for efficient design optimization
Nihon Kikai Gakkai ronbunshu, 2014 In this research, a Gradient-Vector Product (GVP) enhanced Kriging response surface model approach has been developed in which the GVP is defined by the gradient vector of objective function with respect to design variables as well as an arbitral unit ...
Wataru YAMAZAKI
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