Results 31 to 40 of about 1,562 (177)
Structural strength analysis and optimization of converter lug based on Kriging model
The structural analysis of rail transit converters installed under the vehicle often involves time-consuming computer simulations to evaluate the strength of the structure for safety requirements. For typical rail transit converters, each static strength
HE Guanqiang +3 more
doaj
Study region: This study focused on the Mono River Basin in west Africa. Study focus: The lack of extensive and functional measurement networks for flood monitoring, introduces satellite-based rainfall datasets as an alternative which needs however to be
Nina Rholan Hounguè +3 more
doaj +1 more source
The kriging update model and recursive space-time function estimation [PDF]
Summary: We present a method for efficiently fitting a time series of spatial functions to observed data. The method is closely related to kriging, which is an interpolation method based on a stochastic data model. While kriging is effective and versatile for estimating individual functions from observed data, it must be extended to incorporate ...
William S. Kerwin, Jerry L. Prince
openaire +2 more sources
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
Reliability and Sensitivity Analysis of Liquid Storage Tank Using Active Learning Kriging
This study proposed a Kriging surrogate model incorporating active learning to overcome the high computational costs associated with conducting reliability and sensitivity analyses of industrial liquid storage tank structures. In the proposed method, the
Qingqing Xu, Xue Li, Feng Zhang
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Satellite-derived plant cover maps vary in performance depending on version and product
Understanding the accuracy and appropriate application scale of satellite-derived maps of vegetation cover is essential for effective management of the vast, remote rangelands of the world.
Cara Applestein, Matthew J Germino
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A partial envelope approach for modelling multivariate spatial‐temporal data
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
An integrated experimental, numerical, and explainable machine learning framework for the material‐geometric co‐optimization and multi‐objective Pareto design of robust composite adhesive joints. ABSTRACT The reliability of composite adhesive joints is compromised by non‐linear dependencies between material properties and manufacturing uncertainties ...
Sajjad Karimi
wiley +1 more source
Residual Kriging for Functional Spatial Prediction of Salinity Curves [PDF]
Recently, several methodologies to perform geostatistical analysis of functional data have been proposed. All of them assume that the spatial functional process considered is stationary. However, in practice, we often have nonstationary functional data because there exists an explicit spatial trend in the mean.
Adriana Reyes +2 more
openaire +1 more source
Wish you were here: How defaunated is the Atlantic Forest biome of its medium- to large-bodied mammal fauna? [PDF]
Mammals represent the largest-bodied elements of the world's surviving megafauna and provide several key ecosystems services, yet their populations are often under steep decline throughout the tropics.
Juliano André Bogoni +4 more
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