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Researchers at the National Institute of Standards and Technology (NIST) have developed a new statistical tool that they have used to predict protein function.
The goal of the metRology software project is to provide a set of specialized functions for statistical metrology as a package for the R software environment
“Digital disruption is a change in industry triggered by advances in information and communications technology. During the next few years, the technologies
The ability to predict signal strength has many applications in the telecommunications industry. The difference(in dB) between the transmitted and received
The goal of the metRology for Microsoft Excel* software project is to provide a convenient user interface using Microsoft Excel for some of the specialized
The intriguing law of anomalous numbers, also named Benford's law, states that the significant digits of data follow a logarithmic distribution favoring the
Zongxia Li, Andrew Mao, Jordan Boyd-Graber, Daniel Stephens, Emily Walpole, Alden A. Dima, Juan Fung
Topic models are a popular tool for understanding text collections, but their evaluation has been a point of contention. Automated evaluation metrics such as
Omar Aboul-Enein, Henry Medeiros, Mili Shah, Ya-Shian Li-Baboud, Roger Bostelman, Ann Virts
Mobile manipulators, which are robotic systems integrating an automatic or autonomous mobile base with a manipulator, can potentially enhance automation in many
Martin Baiker-Sørensen, Ivo Alberink, Laura Granell, Leen van der Ham, Erwin J.A.T. Mattijssen, Erich Smith, Johannes A. Soons, Peter Vergeer, Xiaoyu Alan Zheng
In this article an automated approach for interpretation of firearm mark comparison results is presented. First, similarity scores are derived for marks
This tool uses techniques from ASTM E3200 for evaluating manufacturing investments from the perspective of environmentally sustainable manufacturing by pairing
This tool calculates metrics for investment analysis documented in NIST Advanced manufacturing Series 200-5. It calculates net present value, internal rate of
The Engineering Laboratory has an established long-term collaboration with the NIST Statistical Engineering Division in the analysis of extreme wind speeds and