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Thermal model for machine tool spindle is of great importance to machine tool design.
We applied a Random Forest model for machine learning and data mining to predict the habitat selection of macaques.
In order to build an linear, high computational efficiency geometric error model for machine tools, a new error modeling method based on screw theory is presented.
Neural networks are one type of model for machine learning.
Jain et al. (2004b) have proposed a bilevel control policy model for machine repair systems.
Domingos [9] considers the feasibility of implementing a cost model for machine learning systems, and illustrates a net-present-value investment-return model until perpetuity.
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The primary objective of this research is to establish a suitable model for machine-mediated collaboration.
STEP-NC is used as the input data as it provides a more complete data model for machining simulations.
Hence, this study presents an NC machine time estimation model for machining sculptured surfaces, considering such dynamic characteristics of the machine.
In the following, we describe a data model for machine-generated data sources and suggest a set of source-specific dimensions, including the metrics used in [38, 47] (see Table 6 for a summary).
I believe that the centralized cloud model will work well for human-centric use and the decentralized model for machines and distributed data applications.
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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