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1–50 von 86 Ergebnissen
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    Applying Machine Learning Tools for Runway Configuration Decision Support

    K. M. Kalyanam / M. Memarzadeh / J. Crissman et al. | NTIS | 2024
    Schlagwörter: Machine learning , Q-learning

    Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion

    K. C. Wu / J. S. Litt | NTIS | 2023
    Schlagwörter: Machine learning , Reinforcement learning

    Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning

    J. M. Cloud / R. J. Nieves / A. K. Duke et al. | NTIS | 2021
    Schlagwörter: Reinforcement learning , Machine learning

      Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning

      J. M. Cloud / R. J. Nieves / A. K. Duke et al. | NTIS | 2021
      Schlagwörter: Reinforcement learning

    Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion

    Kristin C. Wu / Jonathan S Litt | NTRS | 2023
    Schlagwörter: Machine Learning , Reinforcement Learning

    Cognitive Engineering in Training: Monitoring and Pilot-Automation Coordination in Complex Environments

    D. Billman / B. Baron / R. J. Mumaw | NTIS | 2023
    Schlagwörter: Learning , Learning analysis , Learning design

    Cluster-Based Flight Trajectory Outlier Detection

    M. Forney / B. Sridhar / K. Freeman | NTIS | 2021
    Schlagwörter: Machine learning

    AI/Ml Assurance

    G. Brat / K. Ellis / S. Brandt | NTIS | 2024
    Schlagwörter: Machine learning

    Creating a Culture of Continuous Learning: Solutions for Patient Safety

    J. Holbrook | NTIS | 2021
    Schlagwörter: learning

    Embracing the fourth Industrial Revolution - Challenges, Opportunities and Path Forward for Propulsion

    V. Shyam / B. Weborg / S. Nili et al. | NTIS | 2021
    Schlagwörter: Machine learning

      Embracing the Fourth Industrial Revolution - Challenges, Opportunities and Path Forward for Propulsion

      V. Shyam / B. Weborg / S. Nili et al. | NTIS | 2022
      Schlagwörter: Machine learning

    DIP Predictive Engine for NY Airspace

    W. J. Coupe / A. A. Amblard / S. A. Youlton | NTIS | 2023
    Schlagwörter: Machine learning

      DIP Predictive Engine for NY Airspace

      W. J. Coupe / A. A. Amblard / S. A. Youlton | NTIS | 2023
      Schlagwörter: Machine learning

    Introducing AI/ML GCMD Keywords

    V. Dixon | NTIS | 2022
    Schlagwörter: Machine learning

    Route-Recapturing State-Based Horizontal Maneuver Strategy for Automated Detect-and-Avoid

    M. G. Wu | NTIS | 2024
    Schlagwörter: Reinforcement learning

    Route-Recapturing State-Based Horizontal Maneuver Strategy for Automated Detect-and-Avoid

    M. Gilbert Wu | NTRS | 2024
    Schlagwörter: reinforcement learning

    Quality of Candidate Flights and Submission Prediction in Collaborative Digital Departure Reroute

    S. Youlton / A. Amblard / W. J. Coupe | NTIS | 2023
    Schlagwörter: Machine learning

    NASA ATD2/DIP SWIFT Update

    R. A. Capps / W. J. Coupe / M. G. Johnson et al. | NTIS | 2021
    Schlagwörter: Machine learning

    Problems in Machine Learning-Based Systems for Safety-Critical Avionics

    N. A. Neogi / S. M. Lehman | NTIS | 2022
    Schlagwörter: Machine learning

    Brain mechanisms in conditioning and learning

    Livingston, R. B. | NTRS | 1966
    Schlagwörter: LEARNING

    The effects of reinforcement interval on the acquisition of paired-associate responses

    Atkinson, R. C. / Keller, L. / Thomson, W. J. et al. | NTRS | 1965
    Schlagwörter: LEARNING

    ISVAR: In-Situ Validation of Augmented Reality

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

    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

    Die Kippvermeidung schnell fahrender Flurförderzeuge - Ein Beitrag zur Unfallverhütung

    Elbracht, D. / Golombek, G.U. | Tema Archiv | 1996
    Schlagwörter: Lernprozess

    Research in psychobiology

    Held, R. / Teuber, H. L. | NTRS | 1964
    Schlagwörter: LEARNING

    U.S. Army Maneuver Support Center of Excellence

    NTIS | 2012
    Schlagwörter: Learning

    Estimating Helicopter Noise Abatement Information with Machine Learning

    E. Greenwood | NTIS | 2018
    Schlagwörter: Machine learning

    Detecting Severe Thunderstorm Signatures Within Geostationary Satellite Imagery Using a Deep Learning Model

    J. W. Cooney / K. M. Bedka / C. A. Liles et al. | NTIS | 2022
    Schlagwörter: Deep learning model

    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

    Informationsverarbeitungsstrukturen zur Erhöhung der Roboterautonomie

    Matthiesen, J. | Tema Archiv | 1996
    Schlagwörter: Lernen

    Stability Operations Challenges

    B. J. Tempest | NTIS | 2011
    Schlagwörter: 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

    Designing Collaborator Robots for Highly-Dynamic Multi-Human, Multi-Robot Teams

    M. Nicolescu / D. Feil-Seifer | NTIS | 2019
    Schlagwörter: Learning

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

    M A Dupuis / N A Janmohamed | NTRS | 2021
    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

    Spacecraft Environment and Tolerance to Hypoxia

    N. A. Agadzhanyan / L. V. Kalyuzhnyy / A. V. Sergiyenko et al. | NTIS | 1967
    Schlagwörter: Conditioning (learning)

    Training Pattern-Recognition Machines

    A. G. Arkadev / E. M. Braverman | NTIS | 1966
    Schlagwörter: Learning machines

    A Model for Memory in the Brain

    J. S. Albus | NTIS | 1971
    Schlagwörter: Learning

    Learning Without Boundaries: A NASA - National Guard Bureau Distance Learning Partnership

    S. H. Anderson / C. J. Chilelli / S. Picard | NTIS | 2003
    Schlagwörter: Learning

    Traffic Flow Management: Data Mining Update

    S. R. Grabbe | NTIS | 2012
    Schlagwörter: Machine learning

    Who's Got the Bridge? - Towards Safe, Robust Autonomous Operations at NASA Langley's Autonomy Incubator

    B. D. Allen / C. D. Cross / M. A. Motter et al. | NTIS | 2015
    Schlagwörter: Machine learning

    Application of Adaptive Learning to Malfunction Recovery

    R. E. Cruz | NTIS | 1985
    Schlagwörter: Learning , Learning machines

    Aviation Instructor's Handbook, 2008

    NTIS | 2008
    Schlagwörter: Learning