Abstract: One advancing machine-learning-based analysis approach for multivariate time-series data is representing data as a third-order tensor and then applying dimensionality reduction (DR) methods.

ABSTRACT: This study examines the connections among board diversity, strategic innovation, and corporate performance. Based on recent empirical findings from various geographical contexts and ...

MATLAB Programming is a high-level language and interactive environment used by millions of engineers and scientists worldwide. It enables numerical computation, visualization, and programming in a ...

Forbes contributors publish independent expert analyses and insights. David Henkin helps organizations and individuals innovate and grow. We are all swimming in an ocean of data. Every click, every ...

In microbiome studies, addressing the unique characteristics of sequence data—such as compositionality, zero inflation, overdispersion, high dimensionality, and non-normality—is crucial for accurate ...

ABSTRACT: Academic achievement has been the subject of extensive investigation, highlighting the importance of individual, cognitive, and behavioral factors that influence students’ performance. Among ...

Life sciences commercial teams are drowning in data complexity. Despite having access to sophisticated analytics platforms, teams still spend days navigating multiple dashboards, waiting for insights, ...

Analyst Insight: The evolving use of data analytics is helping companies achieve supply chain sustainability objectives in the areas of forecasting, transportation and packaging. Sustainability ...

Forbes contributors publish independent expert analyses and insights. I write about the economics of AI. AI hype is easy to buy into. But behind the scenes, most enterprise teams are struggling with ...

Introduction: Immunosenescence is a dynamic process, where both genetic and environmental factors account for the substantial inter-individual variability. This paper integrates all the data on ...