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1–20 von 109 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

    DIP Predictive Engine for NY Airspace

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

    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

    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

    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

    Predicting Arrival and Departure Runway Assignments with Machine Learning

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

    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