Sentence examples for applications of a machine from inspiring English sources

The key points in design and applications of a machine vision system are also presented.

The application of a machine learning model can be considered as a trade-off between a fast prediction time and the integration of additional information.

In the study presented here, we propose the application of a machine learning methodology to improve the prediction of functional interactions.

In this study, we focus on the development and large-scale application of a machine learning-based system on for the recognition of mentions of anatomical entities, organism parts at levels of organization between the molecular and the whole organism (Fig. 1).

Abstracts were grouped in five-year sub periods specified in Table  1, which provides the frequency of abstracts.> The analytic approach involved the application of a machine-driven, computational linguistics approach.

This paper presents the application of a new machine learning approach called Graph Machines to the prediction of the adsorption enthalpies of linear and branched alkanes on various zeolites.

Upon application of a discriminative machine learning approach, two different prediction methods were derived, both of which showed high prediction accuracy for diverse plant species and recognized specific targeting-enhancing patterns in the regions upstream of the PTS1 tripeptides [ 16].

So far, nm-level motion performance in 6 degrees of freedom (DoF) was realized through the application of an isolated machine architecture in combination with a hybrid stage concept, i.e., by stacking an active short stroke system providing fine adjustments on top of a passive long stroke system.

This work is motivated by application to the design of a machine which can make decisions by identifying a given initial condition with its associated steady state.

The business applications of machine intelligence are endless, with a smart machine that can think like a scientist and produce new explanations for how any system works.

Applications of supervised machine learning methodology continue to grow in the biomedical literature.