A primary challenge in finally achieving high value healthcare in the US is discovering how to harness the comprehensive and ...

Abstract: This paper presents a cost-effective 2-D-discrete cosine transform (DCT) architecture based on the fast row/column decomposition algorithm. We propose a new schedule for 2-D-DCT computing to ...

Complete Explanation A computer that processes analog data is known as an analog computer. Analog computers store information ...

Regression models with intractable normalizing constants are valuable tools for analyzing complex data structures, yet ...

Business data has existed for ages. But mostly it just sat hopelessly trapped in handwritten ledgers, filing cabinets, and floppy disks, a precious resource untapped. Software from past decades ...

As artificial intelligence (AI) progresses from offering suggestions to making autonomous decisions, organizations face a ...

Welcome to your gateway to the IMF's global economic data. Our new data portal provides streamlined access to timely, reliable, and easy-to-understand macroeconomic and financial data. While the ...

Note: for scientific questions regarding the data this repository is accessing, please use the Allen Institute's community forum. If you are having an issue with the code or notebooks not running ...

they cannot be used to represent quantitative data. For example, Pareto charts cannot be used to calculate the mean, the standard deviation, or the average of the data, its variability ...

WHAT IS A TIME SERIES? A time series is a collection of observations of well-defined data items obtained through repeated measurements over time. For example, measuring the value of retail sales each ...

For example, a privacy law might say, “Minimize data collection to reduce risk.” A data governance program would go further: “Our marketing team may only collect first names and email ...

This research addresses current shortcomings by real-time discrete event simulation. During crane operations, kinematic data were collected, which were classified by machine learning algorithms for ...