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Then, a price prediction algorithm is presented to predict the price of virtual resources at the next price interval.
Analytical predictions were also presented to predict the compressive strength and stiffness of Y-shaped core, which were compared with numerical results and experimental results.
A numerical procedure is presented to predict the damping effect.
Recently, several methods have been presented to predict epitopes.
Analytical models are presented to predict the ultimate load, crack spacing and deflection.
A rule-of-thumb chart is presented to predict flow losses for similar installations.
A theoretical basis is presented to predict, evaluate and, in some cases, avoid these reactions.
Finally, empirical equation based on statistical analyses is presented to predict the maximum average bond strength.
Rosin-Rammler and modified Rosin-Rammler model are presented to predict droplet volume distributions.
ANN models were presented to predict kinetic parameters from biomass compositions.
A generally applicable kinetic model is presented to predict light limited microalgal growth.
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CEO of Professional Science Editing for Scientists @ prosciediting.com