Results 41 to 50 of about 77,394 (227)

Comparation to the Methods of Interpolation with ASTER GDEM V2 Based on ICESat/GLA14 Lvliang Mountains in Shanxi Province

open access: yesChemical Engineering Transactions, 2015
ICESat/GLA14, a series of altitude points with high accuracy, it can be used for ASTER GDEM data’s accuracy correction, while the rational interpolation method is the important guarantee for the quality of ASTER GDEM data correction results.
D.C. He   +4 more
doaj   +1 more source

Localized/Shrinkage Kriging Predictors [PDF]

open access: yesMathematical Geosciences, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Asfaw, Zeytu Gashaw, Omre, Henning
openaire   +2 more sources

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

Advancing Cave Survey Methods: High‐Precision Mapping in Drakotrypa Cave, Greece

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT Cave floor mapping plays a vital role across various scientific disciplines by enabling the identification and interpretation of features shaped by both natural processes and human activity. In cave archaeology, floor mapping is crucial to decode and reconstruct human‐induced morphological features.
Christos Pennos   +5 more
wiley   +1 more source

ooDACE toolbox: a flexible object-oriented Kriging implementation [PDF]

open access: yes, 2014
When analyzing data from computationally expensive simulation codes, surrogate modeling methods are firmly established as facilitators for design space exploration, sensitivity analysis, visualization and optimization.
Couckuyt, Ivo   +2 more
core  

A comparison of statistical and machine learning methods for creating national daily maps of ambient PM$_{2.5}$ concentration [PDF]

open access: yes, 2019
A typical problem in air pollution epidemiology is exposure assessment for individuals for which health data are available. Due to the sparsity of monitoring sites and the limited temporal frequency with which measurements of air pollutants ...
Berrocal, Veronica J.   +6 more
core   +2 more sources

A Guide to Bayesian Optimization in Bioprocess Engineering

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska   +5 more
wiley   +1 more source

An informational approach to the global optimization of expensive-to-evaluate functions

open access: yes, 2007
In many global optimization problems motivated by engineering applications, the number of function evaluations is severely limited by time or cost. To ensure that each evaluation contributes to the localization of good candidates for the role of global ...
Département Signaux   +5 more
core   +4 more sources

Review of recent advances in the design, synthesis, and modification of biochar for remediation of heavy metal pollution in water

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Research frontiers in using biochar for heavy metal remediation. Abstract Heavy metal contamination of water has long been a serious environmental issue. Biochar and biochar‐based composites are emerging as effective and sustainable solutions for heavy metal removal due to their strong adsorption abilities and environmentally friendly nature.
Soumik Chakma   +4 more
wiley   +1 more source

Interpolating point spread function anisotropy

open access: yes, 2012
Planned wide-field weak lensing surveys are expected to reduce the statistical errors on the shear field to unprecedented levels. In contrast, systematic errors like those induced by the convolution with the point spread function (PSF) will not benefit ...
Courbin, F., Gentile, M., Meylan, G.
core   +1 more source

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