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21–40 von 86 Ergebnissen
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    HIGH-FIDELITY SIMULATION OF THE ADVANCED PLANETARY EXCAVATOR (APEX) MANIPULATOR FOR IN-SITU RESOURCE UTILIZATION TECHNOLOGY DEVELOPMENT

    A. Schepelmann / E. T. Rezich / K. A. Johnson et al. | NTIS | 2022
    Schlagwörter: Machine learning

    ISVAR: In-Situ Validation of Augmented Reality

    S. M. Lehman | NTIS | 2022
    Schlagwörter: Machine learning

    Utilization of Machine Learning Techniques for Managing the Tracking and Data Relay Satellite Constellation

    K. Y. Ma / M. Montoro / L. Woods et al. | NTIS | 2021
    Schlagwörter: Machine learning (ml)

    Resilience Assessment Framework: Assessing Commercial Contributions to U.S. SpaceForce Mission Resilience

    O. Osoba / G. Nacouzi / J. Hagen et al. | NTIS | 2023
    Schlagwörter: Machine learning , Supervised machine learning

    Estimating Helicopter Noise Abatement Information with Machine Learning

    E. Greenwood | NTIS | 2018
    Schlagwörter: Machine learning

    Modelling Aircraft Disturbance Fields for Magnetic Navigation Using Dense ANNs and the Novel MANNTL Architecture

    K. A. Emery | NTIS | 2021
    Schlagwörter: Machine learning , Supervised machine learning

    DRF: A Software Architecture for a Data Marketplace to Support Advanced Air Mobility

    M. Abdelbaky / J. Chen / A. Fedin et al. | NTIS | 2021
    Schlagwörter: Machine learning

    SWS High-Level Overview

    J. Koelling / M. Davies / K. Ellis | NTIS | 2019
    Schlagwörter: Machine learning

    Learn more about NASA Langley’s Crew Systems Capabilities!

    A. Harrivel / K. Arthur | NTIS | 2024
    Schlagwörter: Machine learning

    On-Board Off-Board Framework for Online Replanning: Applied to UAVs in Urban Environments

    T. Darrah / J. Frank / M. Quiñones-Grueiro et al. | NTIS | 2024
    Schlagwörter: Machine learning

    Machine Learning for Slow but Steady Interplanetary Construction

    A. Agogino | NTIS | 2017
    Schlagwörter: Machine learning

    Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation

    M. Sharma / K. Das / M. Bilgic et al. | NTIS | 2016
    Schlagwörter: Machine learning

    Developing a Method for Estimating AADT on all Louisiana Roads, TechSummary

    Sun X. | NTIS | 2015
    Schlagwörter: Machine learning

    Mass Inferencing Model Creation And Deployment To Lunar Excavation Robot, RASSOR

    M. A. Dupuis / N. A. Janmohamed | NTIS | 2021
    Schlagwörter: Machine learning

    Lunar Development Lab (LDL) Concept Leading to the First Human Lunar Outpost

    A. Zuniga / D. J. Rasky | NTIS | 2019
    Schlagwörter: Machine learning

    Prediction of Pushback Times and Ramp Taxi Times for Departures at Charlotte Airport

    H. Lee / W. J. Coupe / Y. C. Jung | NTIS | 2019
    Schlagwörter: Machine learning

      Prediction of Pushback Times and Ramp Taxi Times for Departures at Charlotte Airport

      H. Lee / W. J. Coupe / Y. C. Jung | NTIS | 2019
      Schlagwörter: Machine learning

    CrossTalk: The Journal of Defense Software Engineering. Volume 28, Number 4, July/August 2015

    B. Ellis / C. Kelly | NTIS | 2015
    Schlagwörter: Machine learning , Supervised machine learning

    Using Multimodal Input for Autonomous Decision Making for Unmanned Systems

    J. H. Neilan / C. Cross / P. Rothhaar et al. | NTIS | 2016
    Schlagwörter: Machine learning