Examples of using Distributed data in English and their translations into Korean
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The design of PhotoCity solved two problems that often arise in distributed data collection: data validation and sampling.
Further, in distributed data collection, researchers could collect data about people without their consent.
Further, in distributed data collection, researchers could collect data about people without their consent.
In distributed data collection projects, researchers enable participants to contribute new measurements of the world.
Both Purdam(2014) and Windt and Humphreys(2016) have some discussion about the ethical issues in distributed data collection.
creating human computation and open call projects, researchers can also create distributed data collection projects.
table 5.3 shows other examples of distributed data collection for social research.
Connect all stakeholders using the Distributed Data Management(DDM) capabilities provided with SOLIDWORKS PDM and SOLIDWORKS Manage.
Any of a wide variety of centralized or distributed data processing architectures may be used.
Any of a wide variety of centralized or distributed data processing architectures may be used.
You can also use this data with analyses that require normally distributed data.
Distributed Data- blockchains face some scalability issues,
This pipeline integrates diverse, dynamic, and distributed data sources, with complete control and protection.
Any of a wide variety of centralized or distributed data processing architectures can be used.
Archon is a project to develop a distributed data store suitable for the DApp ecosystem.
While this database architecture has significant benefits, it creates some distributed data management challenges.
While ELA Core-engine utilizes deep-learning network and distributed data storage technology to refine countless data flowing into the system, ELA you talk
SOLIDWORKS® Distributed Data Management solutions enable both internal and external users to access the most up-to-date information including application files, Bills of Materials,
NBEING Chain Ecosystem(NBEING Eco) is committed to building a new generation of trusted distributed data networks, innovating the Internet infrastructure, and creating a trusted value network where data flow is secure,
to process enormous amounts of information very efficiently in one place, to take all the decisions in one place, and then centralized data processing will be more efficient than distributed data processing.