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1–20 von 315 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

    Data-Intensive Science Meets Inquiry-Driven Pedagogy: Interactive Big Data Exploration, Threshold Concepts, and Liminality

    R. Ramachandran / A. Word / U. Nair | NTIS | 2015
    Schlagwörter: Learning , Learning theory

    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

    Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction

    S. Khater / J. Rebollo / W. J. Coupe | NTIS | 2021
    Schlagwörter: Machine learning

      Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction

      S. Khater / J. Rebollo / W. J. Coupe | NTIS | 2021
      Schlagwörter: Machine learning

    Sustainable Aviation Operations: Reducing the Impact of Aviation on our Planet

    K. A. Swieringa | NTIS | 2024
    Schlagwörter: Machine learning

    Search for UnderUtilized Airspace for Extensible Traffic Management Operations Based on Air Traffic Patterns

    J. Li / M. Xue / P. U. Lee et al. | NTIS | 2023
    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

      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

    Distributed Lunar Data Platform with Advanced Machine Learning Capabilities in Support of Lunar Science and Exploration

    G. Mackintosh / P. Agrawal / A. Zuniga et al. | NTIS | 2022
    Schlagwörter: Deep learning , Federated 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. Gilbert Wu | NTRS | 2024
    Schlagwörter: reinforcement learning

    Presound: UAV Diagnostic System Enabled by Vibration-Based Machine Learning

    K. Arlen / G. Law / A. DeLollis et al. | NTIS | 2024
    Schlagwörter: Machine learning

    Celestial Mapping System and Digital Lunar Library Initiative

    P. Agrawal / G. Mackintosh / A. Zuniga et al. | NTIS | 2022
    Schlagwörter: Machine learning