Synonyme wurden verwendet für: Lernen Maschinelles Lernen
Suche ohne Synonyme: keywords:(Maschinelles Lernen)

1–50 von 86 Ergebnissen
|

    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

    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

    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

    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

    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

    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

    Celestial Mapping System and Digital Lunar Library Initiative

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

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

    K. Arlen / G. Law / A. DeLollis et al. | NTIS | 2024
    Schlagwörter: Machine learning

    NASA ATD2/DIP SWIFT Update

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

    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

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

    N. A. Neogi / S. M. Lehman | NTIS | 2022
    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

    HPC Matters! How Supercomputing Supports NASA's Mission

    P. Mehrotra | NTIS | 2019
    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

    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)

    ISVAR: In-Situ Validation of Augmented Reality

    S. M. Lehman | NTIS | 2022
    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

    Estimating Helicopter Noise Abatement Information with Machine Learning

    E. Greenwood | NTIS | 2018
    Schlagwörter: Machine learning

    SWS High-Level Overview

    J. Koelling / M. Davies / K. Ellis | NTIS | 2019
    Schlagwörter: Machine learning

    DRF: A Software Architecture for a Data Marketplace to Support Advanced Air Mobility

    M. Abdelbaky / J. Chen / A. Fedin et al. | NTIS | 2021
    Schlagwörter: Machine learning

    Modelling Aircraft Disturbance Fields for Magnetic Navigation Using Dense ANNs and the Novel MANNTL Architecture

    K. A. Emery | NTIS | 2021
    Schlagwörter: Machine learning , Supervised 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

    Learn more about NASA Langley’s Crew Systems Capabilities!

    A. Harrivel / K. Arthur | NTIS | 2024
    Schlagwörter: Machine learning

    Machine Learning for Slow but Steady Interplanetary Construction

    A. Agogino | NTIS | 2017
    Schlagwörter: Machine learning

    Mass Inferencing Model Creation And Deployment To Lunar Excavation Robot, RASSOR

    M. A. Dupuis / N. A. Janmohamed | NTIS | 2021
    Schlagwörter: Machine learning

    Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation

    M. Sharma / K. Das / M. Bilgic et al. | NTIS | 2016
    Schlagwörter: Machine learning

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

    H. Lee / W. J. Coupe / Y. C. Jung | NTIS | 2019
    Schlagwörter: Machine learning

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

      H. Lee / W. J. Coupe / Y. C. Jung | NTIS | 2019
      Schlagwörter: Machine learning

    Lunar Development Lab (LDL) Concept Leading to the First Human Lunar Outpost

    A. Zuniga / D. J. Rasky | NTIS | 2019
    Schlagwörter: Machine learning

    CrossTalk: The Journal of Defense Software Engineering. Volume 28, Number 4, July/August 2015

    B. Ellis / C. Kelly | NTIS | 2015
    Schlagwörter: Machine learning , Supervised machine learning

    Using Multimodal Input for Autonomous Decision Making for Unmanned Systems

    J. H. Neilan / C. Cross / P. Rothhaar et al. | NTIS | 2016
    Schlagwörter: Machine learning

    Developing a Method for Estimating AADT on all Louisiana Roads, TechSummary

    Sun X. | NTIS | 2015
    Schlagwörter: Machine learning

    GVSC Robotics Planning Discussion

    NTIS | 2019
    Schlagwörter: Machine learning

    Distributed Learning for Complex Policies

    H. M. Choset / J. Snyder | NTIS | 2019
    Schlagwörter: Distance learning , Machine learning

    Tracking and Characterization of Resident Space Objects (RSO) Using COTS Star Trackers

    D. Watts / P. Harrison | NTIS | 2020
    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

    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

    Traffic Flow Management: Data Mining Update

    S. R. Grabbe | NTIS | 2012
    Schlagwörter: Machine learning

    Neurocognitive Approach to Robotic Cause-Effect Reasoning During Learning

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

    Envisioning a New Command and Control (C2) Architecture for All-Domain Operations

    S. Lee / G. Grant / E. Neiwood | NTIS | 2021
    Schlagwörter: Machine learning