Synonyme wurden verwendet für: Machine learning
Suche ohne Synonyme: keywords:("Machine learning")

1–20 von 171 Ergebnissen
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    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

    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

    Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion

    K. C. Wu / J. S. Litt | NTIS | 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

    DIP Predictive Engine for NY Airspace

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

    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

    Celestial Mapping System and Digital Lunar Library Initiative

    P. Agrawal / G. Mackintosh / A. Zuniga et al. | NTIS | 2022
    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

    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

    Maritime Domain Awareness Through the Characterization of Ship Behavior with AIS Data

    M. E. Alese | NTIS | 2022
    Schlagwörter: Machine learning