An interdisciplinary team of University of Tennessee, Knoxville researchers recently published in Biophysical Journal on ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

Functional data analysis is typically conducted within the L²-Hilbert space framework. There is by now a fully developed statistical toolbox allowing for the principled application of the functional ...

Discover how base-year analysis measures economic changes, eliminates inflation effects, and aids in financial growth ...

Until recently, humanitarian organizations have not routinely used cost data to compare the efficiency or effectiveness of different interventions and program delivery models. As a result, policy ...

This paper presents a methodology for workload characterization and root cause analysis using the Arm Statistical Profiling Extension (SPE) demonstrated on a Neoverse N1 core. The target audience are ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...