Synonyme wurden verwendet für: learning
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1–50 von 459 Ergebnissen
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    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

    Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion

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

    Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning

    Joseph M. Cloud / Rolando J. Nieves / Adam K. Duke et al. | NTRS
    Schlagwörter: Machine Learning , Reinforcement 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

      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

    Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion

    Kristin C. Wu / Jonathan S Litt | NTRS | 2023
    Schlagwörter: Machine Learning , Reinforcement Learning

    Cognitive Engineering in Training: Monitoring and Pilot-Automation Coordination in Complex Environments

    D. Billman / B. Baron / R. J. Mumaw | NTIS | 2023
    Schlagwörter: Learning , Learning analysis , Learning design

    Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation

    Sharma, Manali / Das, Kamalika / Bilgic, Mustafa et al. | NTRS | 2016
    Schlagwörter: active learning , learning with rationales

    Cognitive Engineering in Training: Monitoring and Pilot-Automation Coordination in Complex Environments

    Dorrit Billman / Barth Baron / Randall J. Mumaw | NTRS
    Schlagwörter: learning analysis , learning design , learning

    On Generalizably Improving RANS Predictions of Flow Separation and Reattachment

    Vishal Srivastava / Chris Rumsey / Gary Coleman et al. | NTRS
    Schlagwörter: Machine learning

    Cluster-Based Flight Trajectory Outlier Detection

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

    Data-Intensive Science Meets Inquiry-Driven Pedagogy: Interactive Big Data Exploration, Threshold Concepts, and Liminality

    R. Ramachandran / A. Word / U. Nair | NTIS | 2015
    Schlagwörter: Learning , Learning theory

    Anomaly Detection, Active Learning, Precursor Identification,and Human Knowledge for Autonomous System Safety

    Nikunj C Oza / Kevin M Bradner / David L Iverson et al. | NTRS | 2021
    Schlagwörter: active learning , machine learning

    AI/Ml Assurance

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

    Cluster-Based Flight Trajectory Outlier Detection

    Mikol Forney / Banavar Sridhar / Kenneth Freeman | NTRS
    Schlagwörter: Machine Learning

    Exploring Coanda Effect with 3 Cylinder Geometry

    Satvik Kumar | NTRS
    Schlagwörter: Machine Learning

    Microstructure Quantification With Deep Learning Encoders Pre-Trained on a Massive Microscopy Dataset

    Joshua Stuckner | NTRS
    Schlagwörter: machine learning , deep 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

    AI/Ml Assurance

    G. Brat / K. Ellis / S. Brandt | NTRS
    Schlagwörter: Machine Learning

    Quantum Artificial Intelligence and NASA

    Lucas T. Brady | NTRS
    Schlagwörter: Machine Learning

    Earth Science Deep Learning: Applications and Lessons Learned

    Maskey, Manil / Ramachandran, Rahul / Miller, J. J. et al. | NTRS | 2018
    Schlagwörter: Deep Learning , Supervised Learning

    Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning

    Joseph M. Cloud / Rolando J. Nieves / Adam K. Duke et al. | NTRS
    Schlagwörter: REINFORCEMENT LEARNING

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

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

    Learning for autonomous navigation

    Angelova, Anelia / Howard, Andrew / Matthies, Larry et al. | NTRS | 2005
    Schlagwörter: learning

    Predicting OH Measurements from In-Situ Aircraft Campaigns Using Machine Learning

    Adiel Felsen / Julie Nicely / Bryan Duncan | NTRS
    Schlagwörter: machine learning

    ICE-RASSOR: Intelligent Capabilities Enhanced Regolith Advanced Surface Systems Operations Robot

    Michael Dupuis / Joe Cloud / Evan Bell et al. | NTRS
    Schlagwörter: machine learning

    Creating a Culture of Continuous Learning: Solutions for Patient Safety

    J. Holbrook | NTIS | 2021
    Schlagwörter: 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

    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

    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

    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

    Comparing Deep Neural Network Architectures using Transfer-Learning to Predict Cognitive States

    Mudit Paliwal / Victoria Rodrigues / Nicholas J Napoli et al. | NTRS
    Schlagwörter: machine learning

    Real World Applications of AI/ML in Optimizing Airspace Operations

    Swati Saxena | NTRS
    Schlagwörter: machine learning

    Embracing the fourth Industrial Revolution - Challenges, Opportunities and Path Forward for Propulsion

    Vikram Shyam / Brooke Weborg / Samaun Nili et al. | NTRS
    Schlagwörter: Machine learning

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

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

    EOSDIS Data Archival

    Valerie Dixon / Jeanne Behnke / Andrew Mitchell | NTRS
    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

    Establishing More Robust Material Databases

    Bryan Kubitschek | NTRS
    Schlagwörter: Machine Learning

    Distributed Lunar Data Platform with Advanced Machine Learning Capabilities in Support of Lunar Science and Exploration

    G. Mackintosh / P. Agrawal / A. Zuniga et al. | NTRS
    Schlagwörter: Deep Learning , Federated Learning

    Creating a Culture of Continuous Learning: Solutions for Patient Safety

    Jon Holbrook | NTRS
    Schlagwörter: Safety; learning; resilience; safety culture

    LaRC Park - A Deep Learning Approach to Parking

    Douglas Trent | NTRS
    Schlagwörter: Machine Learning

    Recent efforts in Machine Learning for RANS modelling of separated flows

    Gary N Coleman | NTRS
    Schlagwörter: Machine Learning

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

    Kurt A Swieringa | NTRS
    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
    Schlagwörter: machine learning

    Learning from All Operations – Expanding the Field of Vision to Improve Aviation Safety

    Jon Holbrook | NTRS
    Schlagwörter: Safety; learning; resilience; safety culture

    Distributed Lunar Data Platform with Advanced Machine Learning Capabilities in Support of Lunar Science and Exploration

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