Estimating source-detector distance using coincidence events
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Greulich, Christopher↗
SEARCH · Engineering Papers
Results for “DISTANCE”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Denoising of Seismic Signals Recorded at Local to Near-Regional Distances Using Deep Convolutional Neural Networks.
Abstract not provided.
Tibi, Rigobert↗
Sandia efforts to measure cryogenic hydrogen dispersion and enable separation distance reduction.
Abstract not provided.
Hecht, Ethan↗
Distance Learning Information Management
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Farrar, Charles Reed↗
Distance Measures for Competitive Learning-based Anomaly Detection in Industrial Control Systems.
Abstract not provided.
Cole, Robert G.↗
Deep Learning Denoising Applied to Regional Distance Seismic Data in Utah.
Abstract not provided.
Tibi, Rigobert↗
Scientific justification for updating the bulk liquid separation distance tables in NFPA 2.
Abstract not provided.
Hecht, Ethan↗
Constraining time-dependent ion temperature in inertial confinement fusion (ICF) implosions with an intermediate distance neutron time-of-flight (nToF) detector
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Physics - Nuclear physics and radiation physics↗
For your consideration: Distance Analysis for PDV Data
An analytical study that discusses photonic Doppler velocimetry data analysis methods. The author intends to share this study with experts in this field at National Laboratory partners, e.g., LLNL, LANL, and Sandia. There is no plan to submit this work to a professional (public) conference or a journal publisher.
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND ↗
Analysis to support revised distances between bulk liquid hydrogen systems and exposures.
Abstract not provided.
Hecht, Ethan↗
Distance Estimates to Evolved Stars Using Infrared Emission and Verification and Validation of the Plasma Code EMPIRE.
Abstract not provided.
Medina, Brandon↗
Passive Wireless Sensor Tags and Their Long-Distance Interrogation Based on Guided Waves
IEEE Lehigh Valley Section, Virtual, December 1, 2022
Devkota, Jagannath↗
Methodology for consequence-based setback distance calculations for bulk liquid hydrogen storage systems
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Hecht, Ethan Starling↗
Risk Sensitivity Study as the Basis for Risk-Informed Consequence-Based Setback Distances for Liquid Hydrogen Storage Systems
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Ehrhart, Brian David↗
Applied machine learning for elucidating complex relationships between epigenomic regulatory design rules and gene expression between fungal species across phylogenetic distances
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Weinstock, Laura Delaney↗
Reducing the Feature Distance between Real and Synthetic Data for Training Safeguards-Relevant Computer Vision Models
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Marshall, Matthew Randolph↗