Research combining deep learning methodologies with Analytic Hierarchy Process establishes comprehensive frameworks for data security risk ...

With the proliferation of XML as a new common data format, the problem of managing XML documents has become more critical. New technologies are now available that allow organizations to better manage ...

High-throughput single-cell technologies provide an unprecedented view into cellular heterogeneity, yet they pose new challenges in data analysis and interpretation. In this protocol, we describe the ...

Currently hierarchical data models (HDM) must be generated with the same EDA tool that customers will use to consume the HDM for CDC and RDC analysis at the SoC level. To resolve this problem a CDC ...

Shift left has become a rallying cry for the chip design industry, but unless coherent data can flow between the groups being impacted, the value may not be as great as expected. Shift left is a term ...

Work-related injuries are a complex and costly problem. Musculoskeletal Disorders (MSDs) are among the most widely spread occupational issues in industries and services, with increasing expenses of ...

If we’re going to talk about big data—and it’s one of the most important discussions in business today—we better all speak the same language. In the hierarchy of big data, there are petabytes, ...