Results 21 to 30 of about 12,800 (234)
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
Ordinary kriging as a tool to estimate historical daily streamflow records [PDF]
Hydrology and Earth System Sciences, 2016 Efficient and responsible management of water resources relies on accurate streamflow records. However, many watersheds are ungaged, limiting the ability to assess and understand local hydrology.
W. H. Farmer
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Investigation of Spatial Variation of Some Soil Properties Using Geostatistical Methods (Case study: Margon Town, Kohgiluyeh and Boyer-Ahmad Province, Iran) [PDF]
محیط زیست و مهندسی آبThe aim of this study was to investigate the spatial variation of some soil properties such as soil texture, organic carbon content, soil pH and electrical conductivity (EC) using geostatistical methods in Margon town, Kohgiluyeh and Boyer-Ahmad province,
Vali Behnam +2 more
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Raster data projection transformation based-on Kriging interpolation approximate grid algorithm
Alexandria Engineering Journal, 2021 To solve the problems of small area, slow calculation speed and low precision in the projection transformation algorithm of raster data, the idea of using Kriging interpolation approximate grid algorithm for raster data projection transformation is ...
Junzhen Meng
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Kriging Metamodeling in Simulation: A Review [PDF]
SSRN Electronic Journal, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +6 more sources
A Comparative Study of Different Multi-Fidelity Kriging Models for Reliability Analysis
Applied SciencesThe integration of active learning methods and multi-fidelity (MF) Kriging models has been demonstrated to effectively reduce the number of high-fidelity (HF) samples required for reliability analysis.
Shichao Feng +5 more
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Kriging Methodology for Uncertainty Quantification in Computational Electromagnetics
IEEE Open Journal of Antennas and PropagationWe present the implementation and use of the Kriging methodology, i.e., surrogate models based on Kriging interpolation, in uncertainty quantification (UQ) in computational electromagnetics (CEM).
Stephen Kasdorf +2 more
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Advanced Science, EarlyView.Furrow tillage resolves the conventional‐vs.‐no‐tillage trade‐off by simultaneously cutting CO2 efflux to 2.0–3.0 g C m−2 d−1 and unlocking high nutrient availability for the rice rhizosphere. This scalable agronomic solution strengthens soil health, enhances plant physiology, reshapes microbial metabolism, and shifts paddy systems toward a net ...
Arnab Majumdar +10 more
wiley +1 more source
Human‐in‐the‐Loop Swarms: A Bionic Swarm Approach to Real‐World Soil Mapping
Advanced Intelligent Systems, EarlyView.This article introduces the “Bionic Swarm,” a novel system that lowers the barriers to real‐world swarm validation by abstracting difficult hardware tasks to app‐guided human agents. We demonstrate the system's utility through the experimental validation of a geotechnical soil‐mapping swarm algorithm and show superior performance to baseline approaches
Petras Swissler +5 more
wiley +1 more source
Borehole‐Based Interval Kriging for 3D Lithofacies Modeling
Water Resources ResearchDeveloping a three‐dimensional (3D) lithofacies model from boreholes is critical for providing a coherent understanding of complex subsurface geology, which is essential for groundwater studies.
Yuqi Song, Frank T.‐C. Tsai
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