A NIMS research team has developed an automated high-throughput system capable of generating datasets from a single sample of ...
Abstract: This article discusses the problems of processing large amounts of information in databases to more efficiently execute user queries. The methods of distributed machine learning were ...
Abstract: As there is a growing need to store and process large amounts of data for the correct operation of many applications, traditional monolithic relational databases, due to their architecture, ...
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