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For simplicity, we only consider the energy consumption in communication because in low-rate, low-power wireless scenarios, communication consumes significant energy in comparison with computation.
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Experimental results of the NASA Common Research Model in the European Transonic Wind Tunnel (ETW) are used for comparison with computations.
We draw comparisons with computations and show how the results can be applied to help in choosing alternate time-stepping schemes that are specially tailored to handle the stiffness in immersed fibres.
Moreover, data transmission consumes the most energy in comparison with data computation.
A comparison with the computation time of FVA in other FBA software is detailed in Additional file 1 (Table S1).
The main limitation of this study is the absence of a direct comparison with other computation models, as the Patlak plot, which could be the subject of a further study.
Comparison with prior computations using continuum models shows quantitative agreement without any fitting parameters, which is taken to be a validation of the particle-based model and the numerical algorithm.
Measurements were taken of the flow rate at the nozzle exit, static pressure at the various sections along the duct and also the nozzle, revolution of the impeller, torque, thrust and towing forces at various advance speeds for the prediction of performance as well as for comparison with the computations.
A comparison with finite-element computations is presented.
Comparison with finite element computations shows that the stiffness matrix is sufficiently accurate for engineering design.
Ortiz-García et al. (2014) predicted daily precipitation using the support vector machine (SVM) and pointed out its excellent performance in comparison with other neural computation-based approaches, such as multilayer perceptron, extreme learning machine, and classical algorithms such as decision trees and K-nearest neighbor classifier.
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