High-Fidelity Adaptive Deception and Emulation System (HADES) DOE PACT Virtual Showcase.
Abstract not provided.
Jungwirth, Jessica Lynn↗
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Results for “Fidelity”
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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Viral fate and transport for COVID-19: A high-fidelity Multi-physics Mod/Sim Approach.
Abstract not provided.
Domino, Stefan P.↗
Multi-Fidelity Aerodynamic Databases for Efficient Representation of Hypersonic Design Spaces
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Engineering - Aeronautics, Mathematics and Computi↗
Phase II Final technical Report - Multi-Sensor UAV-Platform Including SAR for High-Fidelity Measurement of Vertically Resolved Soil Moisture Distribution and Its Coupling with Distributed Sensor Network Data
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47 OTHER INSTRUMENTATION↗
Phononic Barrier Communication: Channeling Information and Energy through Metallic Barriers with High Fidelity High Efficiency and Low Bit Errors.
Abstract not provided.
El-Kady, Ihab F↗
High Fidelity Tomographic Density Reconstructions
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Klasky, Marc Louis↗
Searching for High-Fidelity Builds Using Active Learning
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Computer science↗
Designing a direct ink writing printer to achieve high-fidelity prints
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Engineering↗
Direct Ink Writing Fidelity Analysis Using Image Processing to Optimize Extrusion Parameters
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Engineering, Materials science↗
Multi-fidelity thermal modeling of laser powder bed additive manufacturing.
Abstract not provided.
Moser, Daniel↗
Increased Fidelity via Quantum-Correlated X-Rays: IF via QCX Project #: 22-160 Year 1 of 3
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SDRD↗
Preparing for High-fidelity Computational Fluid Dynamics on Exascale Systems.
Abstract not provided.
Watkins, Jerry↗
High-fidelity model-driven deception platform for cyber-physical systems
A system is described for protecting a cyber-physical system against a potential attacker of the cyber-physical system. The system includes at least one processor configured to: collect historical information about the cyber-physical system, and train, based on the historical information, a machine-learned model to predict future conditions of at least a portion of the cyber-physical system. Responsive to detecting an input signal to the cyber-physical system, the system is configured to output an alert to the cyber-physical system indicative of a potential attacker, and respond to the input signal by simulating, based on the future conditions predicted by the machine-learned model, functionality and communications of the at least a portion of the cyber-physical system.
Edgar, Thomas W.↗
IMoFi - Intelligent Model Fidelity: Physics-Based Data-Driven Grid Modeling to Accelerate Accurate PV Integration.
Abstract not provided.
Reno, Matthew↗