This paper presents a study to examine the potential use of machine learning algorithms to build a model to forecast the likelihood of flashover occurrence for

This paper aims to facilitate the use of machine learning to carry out supervised classification/regression tasks for time series data in fire research

Interoperability across emerging visualization modalities, including augmented reality (AR) and virtual reality (VR), remains a challenge with respect to

Ocean Thermal Energy Conversion (OTEC) is among the small number of renewable energy production systems that can provide base load capacity. Ammonia has long

The polarization switching speed of ferroelectric (FE) hafnium zirconium oxide (HZO) is studied with the device size down to sub-μm in lateral dimension

Manufacturers currently struggle with the assessment of a machine/robots' accuracy degradation that limits the efficiency of machine/robots in high precision

Manufacturing processes have become increasingly sophisticated leading to greater usage of robotics. Sustaining successful manufacturing robotic operations

Unscheduled downtime in manufacturing systems can be a major source of lost productivity, profits, and, ultimately, reduced process quality and reliability

The world has entered a state of unprecedented access to machine intelligence algorithms, where the ease of deployment has created a scenario where nearly every

Efforts are underway at the National Institute of Standards and Technology to drastically reduce the uncertainty of laser power measurements using radiation

Machine learning (ML) approaches have been extensively exploited to model and to improve wireless communication networks in the past few years. Nonetheless, the

The Fire Research Division at the National Institute of Standards and Technology is investigating the ability to forecast backdraft or smoke explosions during a

This paper derives two novel frequency invariant beamformers (FIBs) for use with wideband synthetic aperture channel sounders. Results using measured data show

Future unlicensed spectrum sharing scenarios involve multi-cell, multi-tier access of incumbent and emerging wireless systems, such as wireless local area

Dynamic spectrum access (DSA) to achieve spectrum sharing in unlicensed bands is a promising approach for meeting the growing demands of forthcoming and

In 2019, the U.S. National Institute of Standards and Technology (NIST) conducted the most recent in an ongoing series of speaker recognition evaluations (SRE)

In 2019, the U.S. National Institute of Standards and Technology (NIST) conducted a leaderboard style speaker recognition challenge using conversational

This work documents a series of time-averaged local gas species measurements made throughout the centerline profile of 30 cm methanol, ethanol, and acetone pool

A series of measurements was made to characterize the structure of a 1 m diameter methyl 12 alcohol (methanol; CH3OH) pool fire steadily burning with a constant

Nanowire-based ultraviolet (UV) LEDs hold great promise as nanoscale light sources, potentially enabling advanced scanning microscopy probes capable of

Due to its tremendous potential, Augmented Reality (AR) has experienced a recent surge in adoption and integration within the manufacturing enterprise. While

Maintenance and error logs for machines in manufacturing organizations are typically written as informal notes by operators or technicians working on the

As Smart Manufacturing becomes more prevalent throughout industry, manufacturers are continuing to look for ways to more efficiently apply advanced data

This paper presents a study to examine the potential use of machine learning models to build a real-time detection algorithm for prevention of unattended

Identifying heavy flows, i.e., flows with high packet rate (or count), is vital for many network applications such as anomaly detection, network operation

In 2013, Tao et al. introduced the ABC Simple Matrix Scheme for Encryption, a multivariate public key encryption scheme. The scheme boasts great efficiency in

Recent renewed interest in radium-224 (224Ra) as a radiotherapeutic agent prompted the development of a primary standard for activity at the National Institute

Faster and more energy efficient hardware accelerators are critical for machine learning on very large datasets. The energy cost of performing vector-matrix

The three-dimensional architectures for field effect transistors (FETs) with vertical stacking of Gate-all-Around Nanowires provide a pathway to increased