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A full factorial design approach using three factors, namely rotation time, rotation speed, and drying temperature was adopted to prepare TiO2-coated reactors.
This paper also evaluates the performance of the sub goal seeking approach using three criteria, goal achievable ability, safety and maneuvering through extensive simulation and real mobile robot experiments.
To estimate the environmental niche of the species, we used an original data-set based on satellite image analysis to detect species presence and an ensemble modelling approach using three species distribution models (GLM, GAM and MaxEnt).
In this study, we demonstrate that a statistical learning approach using three features or material descriptors related to the chemical bonding and atomic radii of the elements in the alloys, provides a means to predict transformation temperatures.
An experimental study is designed to validate the proposed approach using three MCDM methods, six clustering algorithms, and eleven cluster validity indices over three real-life credit risk and bankruptcy risk data sets.
In this paper, novel computing approach using three different models of feed-forward artificial neural networks (ANNs) are presented for the solution of initial value problem (IVP) based on first Painlevé equation.
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We then demonstrate the approach using two fish species in the Yarra River, Victoria.
We evaluate this approach using two numerical examples with important applications.
We validate our approach using two experts assessing accuracy of the resulting fuzzy urban map.
Simulation experiments are performed to evaluate the proposed approach using five workflow models having different characteristics.
We illustrate our approach using two numerical examples from structural engineering design.
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CEO of Professional Science Editing for Scientists @ prosciediting.com