Sentence examples for architectures application from inspiring English sources

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In such architectures, application developers or system integrators can build scenarios by composing one or more services without knowing the services' underlying implementations.

With the recent advent of novel multi- and many-core hardware architectures, application programmers have to deal with many hardware-specific implementation details and have to be familiar with software optimization techniques to benefit from new high-performance computing machines.

Architectures Application Pros.

The term "learning objects" was originally used by Wayne Hodgins, in 1994, in the CedMA research group named Learning Architectures, Application Programming Interface, and Learning Objects, which became a reference in the field of computer-assisted learning [10].

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This paper reviews SDN technologies, architectures, applications, underlying protocols, and deployments.

Topics include layered network architectures, applications, transport, congestion, routing, data link protocols, local area networks, performance analysis, multimedia networking, network security, and network management.

In service-oriented architectures, applications are developed by incorporating services which are often provided by different organizations.

Covers all aspects of the Web, including issues related to architectures, applications, Internet and Web information systems, and communities.

World Wide Web: Internet and Web Information Systems (WWW) is an international, archival, peer-reviewed journal that covers all aspects of the Web, including issues related to architectures, applications, Internet and Web information systems, and communities.

World Wide Web: Internet and Web Information Systems (WWW) is an international, archival, peer-reviewed journal which covers all aspects of the World Wide Web, including issues related to architectures, applications, Internet and Web information systems, and communities.

Major topics include mathematical theory of pattern recognition, raw data representation, computer vision, image processing, machine learning, computer graphics, data and knowledge bases, neural nets, software, specialized computer architectures, applications, and related areas.

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