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1–50 von 180 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

    Joseph M. Cloud / Rolando J. Nieves / Adam K. Duke et al. | NTRS
    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

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

    Dorrit Billman / Barth Baron / Randall J. Mumaw | NTRS
    Schlagwörter: learning analysis , learning design , learning

    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

    Cluster-Based Flight Trajectory Outlier Detection

    Mikol Forney / Banavar Sridhar / Kenneth Freeman | NTRS
    Schlagwörter: Machine Learning

    Microstructure Quantification With Deep Learning Encoders Pre-Trained on a Massive Microscopy Dataset

    Joshua Stuckner | NTRS
    Schlagwörter: machine learning , deep learning

    AI/Ml Assurance

    G. Brat / K. Ellis / S. Brandt | NTRS
    Schlagwörter: Machine Learning

    Quantum Artificial Intelligence and NASA

    Lucas T. Brady | NTRS
    Schlagwörter: Machine Learning

    Exploring Coanda Effect with 3 Cylinder Geometry

    Satvik Kumar | NTRS
    Schlagwörter: Machine Learning

    Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning

    Joseph M. Cloud / Rolando J. Nieves / Adam K. Duke et al. | NTRS
    Schlagwörter: REINFORCEMENT LEARNING

    Learning for autonomous navigation

    Angelova, Anelia / Howard, Andrew / Matthies, Larry et al. | NTRS | 2005
    Schlagwörter: learning

    Predicting OH Measurements from In-Situ Aircraft Campaigns Using Machine Learning

    Adiel Felsen / Julie Nicely / Bryan Duncan | NTRS
    Schlagwörter: machine learning

    ICE-RASSOR: Intelligent Capabilities Enhanced Regolith Advanced Surface Systems Operations Robot

    Michael Dupuis / Joe Cloud / Evan Bell et al. | NTRS
    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 | 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

    EOSDIS Data Archival

    Valerie Dixon / Jeanne Behnke / Andrew Mitchell | NTRS
    Schlagwörter: Machine Learning

    Establishing More Robust Material Databases

    Bryan Kubitschek | NTRS
    Schlagwörter: Machine Learning

    Real World Applications of AI/ML in Optimizing Airspace Operations

    Swati Saxena | NTRS
    Schlagwörter: machine learning

    Creating a Culture of Continuous Learning: Solutions for Patient Safety

    Jon Holbrook | NTRS
    Schlagwörter: Safety; learning; resilience; safety culture

    LaRC Park - A Deep Learning Approach to Parking

    Douglas Trent | NTRS
    Schlagwörter: Machine Learning

    Recent efforts in Machine Learning for RANS modelling of separated flows

    Gary N Coleman | NTRS
    Schlagwörter: Machine Learning

    Learning from All Operations – Expanding the Field of Vision to Improve Aviation Safety

    Jon Holbrook | NTRS
    Schlagwörter: Safety; learning; resilience; safety culture

    A Machine Learning Approach to Predict Aircraft Landing Times using Mediated Predictions from Existing Systems

    Dan Wesely / Andrew Churchill / John Slough et al. | NTRS | 2021
    Schlagwörter: Machine learning

    A Machine Learning Approach to Predict Aircraft Landing Times using Mediated Predictions from Existing Systems

    Dan Wesely / Andrew Churchill / John Slough et al. | NTRS | 2021
    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

    Artificial Intelligence Enhancements to Imagery for Space Operations

    Rodney Grubbs | NTRS
    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

    IV&V Finalized Challenge Problems from NASA

    Nathaniel Hildebrand / Matthew O'Connell / David Wagner et al. | NTRS
    Schlagwörter: Machine Learning

    NASA ATD2/DIP SWIFT Update

    Richard Alan Capps / William Jeremy Coupe / Mirna Gale Johnson et al. | NTRS
    Schlagwörter: machine learning

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

    Natasha A. Neogi / Sarah M. Lehman | NTRS
    Schlagwörter: Machine Learning

    Responsible AI Framework for Air Traffic Management

    Parimal Kopardekar | NTRS
    Schlagwörter: machine learning

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

    Sarah Youlton / Alexandre Amblard / William J Coupe | NTRS
    Schlagwörter: Machine 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

    DIP Predictive Engine for NY Airspace

    William Jeremy Coupe / Alexandre Arsene Amblard / Sarah Ann Youlton | NTRS | 2023
    Schlagwörter: Machine Learning

    Introducing AI/ML GCMD Keywords

    Valerie Dixon | NTRS
    Schlagwörter: machine learning

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

    Sarah Youlton / Alexandre Amblard / William J Coupe | NTRS
    Schlagwörter: Machine Learning

    DIP Predictive Engine for NY Airspace

    William Jeremy Coupe / Alexandre Arsene Amblard / Sarah Ann Youlton | NTRS
    Schlagwörter: Machine Learning

    TextureCam: A Smart Camera for Autonomous Astrobiology

    Thompson, David R. / Abbey, William / Allwood, Abigail et al. | NTRS | 2012
    Schlagwörter: machine learning

    Predicting Airport Runway Configurations for Decision-Support Using Supervised Learning

    Tejas G Puranik / Milad Memarzadeh / Krishna M Kalyanam | NTRS
    Schlagwörter: machine learning