Sentence examples for developers to identify from inspiring English sources

Exact(24)

Thus, supporting ontology based development also requires providing guidance to developers to identify PSM for individual agents and integrating these appropriately within a MAS, operationalising individual agents in concordance with requirement analysis models.

The research findings would immensely help the health care information technology (IT) managers and knowledge based system developers to identify their IT needs and to plan for and develop the technical infrastructure of the health care management system for their organizations.

Now it is connecting with other solar developers to identify new projects for financing.

In this context, it is crucial for users and developers to identify software that is fit for the intended purpose.

Therefore, Claritics allows app developers to identify trends in realtime and react to those changing trends in realtime.

The usage of the suggested framework can help protocol developers to identify the potential deployment challenges and opportunities of emerging protocols and thus increase the likelihood of adoption.

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Similar(35)

First of all, the developers has to identify and categorize all the types of problems they expect to encounter in their data, then they have to survey the available techniques to address those different types of errors, and then finally develop methods to identify and resolve the problems.

To close this gap, the curation teams were asked to address a list of issues important to text mining developers and to identify possible insertion points for text mining and information extraction tools.

The client application developer has to identify the tasks following the "task parallelism pattern" ([6], p. 64) ([8], p. 86).

In a recently ended contest, Google asked potential Google Glass customers — when "applying" to purchase the $1,500 developer device — to identify and define themselves via the use of a #ifihadglass hashtag on Google+ or Twitter.

The idea is to allow developers to smoothly identify and eradicate performance anti-patterns by automatically analyzing execution traces.

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