Corporate managers will never be able to make good, informed decisions based solely on data. But — if formatted properly to provide knowledge and insight — data can facilitate complex business ...

The typical all-source intelligence analyst must generate products that result from the fusion and correlation of structured and unstructured text reporting with sensor and imagery data sources. This ...

ABSTRACT The process of obtaining key information on climate variability and change from large climate datasets often involves large computational costs and removal of noise from the data. In this ...

This article presents and compares two approaches of principal component (PC) analysis for two-dimensional functional data on a possibly irregular domain. The first approach applies the singular value ...

This book offers a comprehensive framework for mastering the complexities of learning high-dimensional sparse graphical models through the use of conditional independence tests. These tests are ...

This pie chart illustrates the distribution of visualization tools in the FigureYa resource package across three dimensions: research type (outer ring), analysis method (middle ring), and output ...

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

(A) Spatial relationships between gene expression and sex-specific functional connectivity abnormalities in MDD. (B) Association between MDD-related functional gradient alterations and gene expression ...

The panel explore the potential of multidimensional chromatography for the analysis of oligonucleotides.