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NIST Pubs

Industrial Wireless Deployments in the Navy Shipyard

Author(s)
Rick Candell, Karl Montgomery, Yongkang Liu, Mohamed Hany
The National Institute of Standards and Technology (NIST) and the Office of Naval Research (ONR) have partnered to investigate the application of digital

Report of the 104th National Conference on Weights and Measures

Author(s)
Yvonne A. Branden, Tina G. Butcher, Richard A. Harshman, Lisa Warfield, Gloria D. Lee, John W. Barton
The 104th Annual Meeting of the National Conference on Weights and Measures (NCWM) was held July 14 - 18, 2019, at the Hyatt Regency Milwaukee Hotel, Milwaukee

Camp Fire Preliminary Reconnaissance

Author(s)
Alexander Maranghides, William Mell, Steven Hawks, Eric D. Link, Christopher U. Brown, Cartier P. Murrill, Erin Ashley
The Camp Fire started in the early morning of November 8, 2018 in vegetative fuels to the northeast of Concow, California. Concow is an unincorporated community

NIST Cloud Computing Forensic Science Challenges

Author(s)
Martin Herman, Michaela Iorga, Ahsen Michael Salim, Robert H. Jackson, Mark R. Hurst, Ross Leo, Richard Lee, Nancy Landreville, Anand K. Mishra, Yien Wang, Rodrigo Sardinas
This document summarizes research performed by the members of the NIST Cloud Computing Forensic Science Working Group and aggregates, categorizes, and discusses

2019 NIST/ITL Cybersecurity Program Annual Report

Author(s)
Patrick D. O'Reilly, Kristina G. Rigopoulos, Larry Feldman, Gregory A. Witte
During Fiscal Year 2019 (FY 2019), from October 1, 2018 through September 30, 2019, the NIST Information Technology Laboratory (ITL) Cybersecurity and Privacy

Four Principles of Explainable Artificial Intelligence (Draft)

Author(s)
P Phillips, Carina Hahn, Peter Fontana, David A. Broniatowski, Mark A. Przybocki
We introduce four principles for explainable artificial intelligence (AI) that comprise the fundamental properties for explainable AI systems. They were

Polycyclic Aromatic Hydrocarbon Structure Index

Author(s)
Lane C. Sander, Stephen A. Wise
NIST Special Publication (SP) 922 is an aid in the identification of the chemical structures of polycyclic aromatic hydrocarbons (PAHs). The Structure Index
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