When working with high-dimensional data, it may be tempting to choose a three-dimensional (3D) spatial visualization over a two-dimensional (2D) 'flat' representation because it allows us an ...

The Multidimensional Data Provider (MDP) is a data model that accesses a variety of data structures in a distributed environment. These data structures include SAS data sets, multidimensional ...

For regularly spaced one-dimensional data, wavelet shrinkage has proven to be a compelling method for non-parametric function estimation. We create three new multiscale methods that provide ...

The relentless down-scaling of electronics grands the modern integrated circuits (ICs) with the high speed, low power dissipation and low cost, fulfilling diverse demands of modern life. Whereas, with ...

In conclusion, structured, multidimensional data is the cornerstone of AI-driven talent management, enabling organizations to unlock insights, optimize processes, and drive strategic outcomes.

To illustrate physical multidimensional data mining, ... We look for visual outliers in a 2D scatter plot. Figure 1: The “Peakcount vs. Average Fragment Delta-Mass” for part of the 4M hypotheses. Both ...

It can no longer be taken for granted that 2D materials remain two-dimensional when incorporated into a van der Waals heterostructure. The research is detailed in Nano Letters ...