Results 41 to 50 of about 14,433 (200)

Analysis and spatial prediction of water retention curves in two types of soil

open access: yesRevista Brasileira de Engenharia Agrícola e Ambiental
Soil is a medium that stores and transfers air, water, nutrients and heat to microorganisms and plants. Its water storage capacity is studied by analysing water retention curves (WRCs), which establish the relationship between soil water content and the ...
Diego L. Cortés-Delgadillo   +2 more
doaj   +1 more source

Design and optimization of wall-climbing robot impeller by genetic algorithm based on computational fluid dynamics and kriging model

open access: yesScientific Reports, 2022
In recent years, wall-climbing robots have begun to replace manual work at heights to reduce economic losses and casualties caused by working at heights. This paper designs a negative pressure adsorption type wall-climbing robot and analyzes the internal
Yi Fang   +5 more
doaj   +1 more source

Structural strength analysis and optimization of converter lug based on Kriging model

open access: yes机车电传动, 2022
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  

Evaluation of the performance of remotely sensed rainfall datasets for flood simulation in the transboundary Mono River catchment, Togo and Benin

open access: yesJournal of Hydrology: Regional Studies, 2021
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

Advances in Kriging-Based Autonomous X-Ray Scattering Experiments. [PDF]

open access: yes, 2020
Autonomous experimentation is an emerging paradigm for scientific discovery, wherein measurement instruments are augmented with decision-making algorithms, allowing them to autonomously explore parameter spaces of interest.
Doerk, Gregory S   +4 more
core  

Diagnostics of an Aircraft Engine Pumping Unit Using a Hybrid Approach based-on Surrogate Modeling [PDF]

open access: yes, 2013
This document introduces a hybrid approach for fault detection and identification of an aircraft engine pumping unit. It is based on the complementarity between a model-based approach accounting for uncertainties aimed at quantifying the degradation ...
LAMOUREUX, Benjamin   +2 more
core   +5 more sources

Variograms for kriging and clustering of spatial functional data with phase variation

open access: yesSpatial Statistics, 2022
Spatial, amplitude and phase variations in spatial functional data are confounded. Conclusions from the popular functional trace-variogram, which quantifies spatial variation, can be misleading when analyzing misaligned functional data with phase variation.
Xiaohan Guo   +2 more
openaire   +3 more sources

Spatial prediction of soil penetration resistance using functional geostatistics

open access: yesScientia Agricola
Knowledge of agricultural soils is a relevant factor for the sustainable development of farming activities. Studies on agricultural soils usually begin with the analysis of data obtained from sampling a finite number of sites in a particular region of ...
Diego Leonardo Cortés-D   +2 more
doaj   +1 more source

Spatial Random Field Models Inspired from Statistical Physics with Applications in the Geosciences

open access: yes, 2006
The spatial structure of fluctuations in spatially inhomogeneous processes can be modeled in terms of Gibbs random fields. A local low energy estimator (LLEE) is proposed for the interpolation (prediction) of such processes at points where observations ...
Hristopulos, D. T.
core   +1 more source

Satellite-derived plant cover maps vary in performance depending on version and product

open access: yesEcological Indicators, 2023
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
doaj   +1 more source

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