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1–50 von 194 Ergebnissen
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    AI/Ml Assurance

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

    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

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

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

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

    K. Arlen / G. Law / A. DeLollis et al. | NTIS | 2024
    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

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

    Timothy Darrah / Jeremy Frank / Marcos Quiñones-Grueiro et al. | NTRS | 2024
    Schlagwörter: Machine Learning

    Search for Underutilized Airspace for eXtensible Traffic Management (xTM) Operations Based on Air Traffic Patterns

    Jinhua Li / Min Xue / Paul U Lee et al. | NTRS | 2023
    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

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

    Jinhua Li / Min Xue / Paul U Lee et al. | NTRS | 2023
    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

    Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion

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

    DIP Predictive Engine for NY Airspace

    William Jeremy Coupe / Alexandre Arsene Amblard / Sarah Ann Youlton | NTRS | 2023
    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

    Architecting Safer Autonomous Aviation Systems

    J. Fenn / M. Wilkinson / M. Nicholson et al. | NTIS | 2023
    Schlagwörter: Machine learning

    Predicting Airport Runway Configurations for Decision-Support Using Supervised Learning

    T. G. Puranik / M. Memarzadeh / K. M. Kalyanam | NTIS | 2023
    Schlagwörter: Machine 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

    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

    Deep Learning for Space Applications

    Lui Wang | NTRS | 2023
    Schlagwörter: Machine Learning

    SafeAeroBERT: Towards a Safety-Informed Aerospace-Specific Language Model

    Sequoia R Andrade / Hannah S Walsh | NTRS | 2023
    Schlagwörter: Machine Learning

    Introducing AI/ML GCMD Keywords

    V. Dixon | NTIS | 2022
    Schlagwörter: Machine learning

    Celestial Mapping System and Digital Lunar Library Initiative

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

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

    N. A. Neogi / S. M. Lehman | 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 | 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

    Sustainable Aviation Operations and the Role of Information Technology and Data Science: Background, Current Status and Future Directions

    Banavar Sridhar / David Bell | NTRS | 2022
    Schlagwörter: Sustainable Aviation, Data Science, Machine Learning Techniques, Trustworthy AI

    Sustainable Aviation Operations and the Role of Information Technology and Data Science: Background, Current Status and Future Directions

    Banavar Sridhar / David Bell | NTRS | 2022
    Schlagwörter: Sustainable Aviation, Data Science, Machine Learning Techniques, Trustworthy AI

    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

    T-Rex: The NASA Technology Taxonomy Recommender System

    Ellis Giles / Ryan Miller | NTRS | 2022
    Schlagwörter: Machine Learning

    Neurocognitive Approach to Robotic Cause-Effect Reasoning During Learning

    R. Gentili / G. Katz / J. Reggia | NTIS | 2022
    Schlagwörter: Machine learning

    Cluster-Based Flight Trajectory Outlier Detection

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

    A Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction

    Shaymaa Khater / Juan Rebollo / William J Coupe | NTRS | 2021
    Schlagwörter: machine learning

    Predicting Arrival and Departure Runway Assignments with Machine Learning

    Andrew Churchill / William J Coupe / Yoon Jung | NTRS | 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

      Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction

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

    A Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction

    Shaymaa Khater / Juan Rebollo / William J Coupe | NTRS | 2021
    Schlagwörter: machine learning

    Predicting Arrival and Departure Runway Assignments with Machine Learning

    Andrew Churchill / William J Coupe / Yoon C Jung | NTRS | 2021
    Schlagwörter: machine learning

    Predicting Cognitive States Using Machine Learning Fusion Paradigms to Reduce Model Uncertainty

    Victoria R Rodrigues / Mudit Paliwal / Nicholas J Napoli 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

    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

    Real-time Unimpeded Taxi Out Machine Learning Service

    Alexandre Amblard / Sarah Youlton / William J Coupe | NTRS | 2021
    Schlagwörter: Machine Learning

    Real-time Unimpeded Taxi Out Machine Learning Service

    Alexandre Amblard / Sarah Youlton / William J Coupe | NTRS | 2021
    Schlagwörter: machine learning

    NASA ATD2/DIP SWIFT Update

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

    ATD-2 Integrated Arrival/ Departure/Surface (IADS) System Machine Learning Services - Airport Configuration Prediction Model (ACPM)

    Shaymaa Khater / Juan Rebollo / William J Coupe | NTRS | 2021
    Schlagwörter: machine learning

    ATD-2 Integrated Arrival/ Departure/Surface (IADS) System Machine Learning Services Departure Runway Model (DRM)

    Andrew Churchill / William J Coupe / Yoon C Jung | NTRS | 2021
    Schlagwörter: machine learning

    ATD-2 Integrated Arrival/ Departure/Surface (IADS) System Machine Learning Services - Arrival Runway Model (ARM)

    Andrew Churchill / William J Coupe / Yoon C Jung | NTRS | 2021
    Schlagwörter: machine learning