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Fig. 6 Performance of training models for multiple bands for sequential and various sized clusters and various training data sizes.
This paper provides time definite models for multiple allocation p-hub median problems and hub arc location problems.
The primary contribution is a set of supervised machine classification models for multiple protected characteristics - race, disability and sexual orientation - to complement the existing classifier for religion.
Moreover, the approach is generic in the sense that it can be used to define information models for multiple target technologies, such as OPC UA, MTConnect and others.
In this work, an ontological framework is built as a mechanism for exchanging information and knowledge models for multiple applications and effective integration between the different hierarchical levels.
This raises the question of whether ecosystem-level behavior of structured communities can be predicted using genome-scale metabolic models for multiple organisms.
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This chapter discusses the physical channel models, the analytical models for multiple-input multiple-output (MIMO) channel, and validation of a MIMO channel model.
Candidate models for multiple-variable regression were those in which individual factors demonstrated an association that was statistically significant or approaching statistical significance, and the individual factors were not highly collinear.
Therefore, our approach can offer a more realistic model for multiple users with limited rationality.
A rigorous dynamic model for multiple liquid vapour equilibrium stages has been developed.
A stick slip model for multiple shear bands with interactions is also proposed and numerically calculated.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com