Abstract: The introduction of machine learning (ML) methods into the design process of printed circuit boards (PCBs) drives the need for large quantities of readily available data. This article ...

Today, it takes months to build predictive models using machine learning — KumoRFM delivers results in seconds, with no manual effort. AI has completely transformed how businesses leverage text-based ...

Abstract: This abstract describes a system that supports the creation and validation of relational data to ontologies. The proposed system is developed for rapid learning health care (RLHC), i.e., an ...

Several major database systems provide extensions to support the management and analysis of spatial data in a relational database system (IBM02, Ora01 and IBM01). The functionality is also ...

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The cloud has been a boon for enterprises trying to manage the massive amounts of data they collect every year. Cloud providers don’t have the same scaling issues that dog on-premises environments.

The most prevalent type of data is tabular data. This form contains many datasets from surveys, censuses, and administrative sources. These datasets could include private information that shouldn’t be ...

I have a plan to use a relational database through spring-data-relational. The database isn't supported by spring-data-jdbc and it has a bit uncommon dialect that is inconsistent with ...