Synonyme wurden verwendet für: Lernen Maschinelles Lernen
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21–40 von 110 Ergebnissen
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    Who's Got the Bridge? - Towards Safe, Robust Autonomous Operations at NASA Langley's Autonomy Incubator

    B. D. Allen / C. D. Cross / M. A. Motter et al. | NTIS | 2015
    Schlagwörter: Machine learning

    Machine Learning for Slow but Steady Interplanetary Construction

    A. Agogino | NTIS | 2017
    Schlagwörter: Machine learning

    Way Forward for New and Current Users - Workshop Intro-Uncontrolled Airspace Commercial Space Traffic Management

    P. H. Kopardekar / S. J. Zelinski | NTIS | 2017
    Schlagwörter: Machine learning

    Estimating Helicopter Noise Abatement Information with Machine Learning

    E. Greenwood | NTIS | 2018
    Schlagwörter: Machine learning

    Applications of Machine Learning to Flight Dynamics Operations

    Slojkowski, Steven / Getchius, Joel / Michaels, Adam et al. | NTRS | 2018
    Schlagwörter: Machine Learning

    Prediction of Pushback Times and Ramp Taxi Times for Departures at Charlotte Airport

    Lee, Hanbong / Coupe, William J. / Jung, Yoon C. | NTRS | 2019
    Schlagwörter: machine learning

    Machine Intelligence Towards Tomorrow's Earth Science Data Systems

    M. Maskey | NTIS | 2019
    Schlagwörter: Machine learning

    Machine Learning Models of C-17 Specific Range Using Flight Recorder Data

    M. A. Catchpole | NTIS | 2019
    Schlagwörter: Machine learning

    Cluster-Based Flight Trajectory Outlier Detection

    M. Forney / B. Sridhar / K. Freeman | NTIS | 2021
    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

      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

    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

    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

    NASA ATD2/DIP SWIFT Update

    R. A. Capps / W. J. Coupe / M. G. Johnson et al. | NTIS | 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

    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