-
1
Neutron Interferometry at the National Institute of Standards and Technology
Published 2015-01-01Get full text
Article -
2
Layer ensemble averaging for fault tolerance in memristive neural networks
Published 2025-02-01Get full text
Article -
3
Magnetic Anisotropy Dominates over Physical and Magnetic Structure in Performance of Magnetic Nanoflowers
Published 2025-02-01Get full text
Article -
4
A sensitivity analysis of methodological variables associated with microbiome measurements
Published 2025-02-01Get full text
Article -
5
Cellular Reference Materials for DNA Damage Using Electrochemical Oxidation
Published 2020-01-01Get full text
Article -
6
-
7
Using Truncated Data Sets in Spherical-Scanning Antenna Measurements
Published 2012-01-01Get full text
Article -
8
-
9
-
10
Measurement-Based Prediction of mmWave Channel Parameters Using Deep Learning and Point Cloud
Published 2024-01-01Get full text
Article -
11
-
12
-
13
Near-Field Spherical Scanning Antenna Measurements: Probe Deconvolution and Sensitivity
Published 2014-01-01Get full text
Article -
14
Anomalously High Dielectric Strength and Capacitive Energy Density of Thin Entangled Glassy Polymer Films
Published 2024-12-01Get full text
Article -
15
-
16
Complements to the Theoretical Treatments of the Electron Collision with : An R-Matrix Approach
Published 2013-01-01“…The calculated values for fine-structure levels are compared with the available experimental data in Atomic Structure Database of the National Institute for Standards and Technology. The agreement between the calculated and the experimental data is reasonably good, the energy difference average percentage of the low-lying levels usually agreeing to within 3.6% of each other. …”
Get full text
Article -
17
Handwriting Digital Image Generation based on GAN: A Comparative Study of Basic GAN and CGAN Models
Published 2025-01-01“…The basic GAN and CGAN models, based on the PyTorch deep learning framework and the Modified National Institute of Standards and Technology (MNIST) dataset, are applied to generate handwritten digital images respectively. …”
Get full text
Article -
18
Analysis of The Role of Deep Learning Models in Image Classification Applications
Published 2025-01-01“…Training these models involves the use of well-known datasets like Canadian Institute for Advanced Research (CIFAR) and Modified National Institute of Standards and Technology (MNIST), which provide the necessary data for optimization and validation. …”
Get full text
Article -
19
Surdat: Database of physical properties of lead-free solders
Published 2007-01-01“…The present version of the SURDAT database will be introduced on the website of the National Institute of Standards and Technology (NIST) together with the new version of Lead-Free Solders base elaborated by NIST. …”
Get full text
Article -
20
Ring Oscillators with Additional Phase Detectors as a Random Source in a Random Number Generator
Published 2024-12-01“…Our approach employs additional phase detectors to extract more entropy; thus, RNG uses fewer resources to produce bit sequences that pass all statistical tests proposed by National Institute of Standards and Technology (NIST). Generating a specified number of bits is on-demand, eliminating the need for continuous RNG operation. …”
Get full text
Article