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    Applying Machine Learning Tools for Runway Configuration Decision Support

    K. M. Kalyanam / M. Memarzadeh / J. Crissman et al. | NTIS | 2024
    Keywords: Machine learning , Q-learning

    Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion

    K. C. Wu / J. S. Litt | NTIS | 2023
    Keywords: 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
    Keywords: Reinforcement learning

      Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning

      J. M. Cloud / R. J. Nieves / A. K. Duke et al. | NTIS | 2021
      Keywords: Reinforcement learning , Machine learning

    Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning

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

    Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion

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

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

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

    Active Learning with Rationales for Identifying Operationally Significant Anomalies in Aviation

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

    On Generalizably Improving RANS Predictions of Flow Separation and Reattachment

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

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

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

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

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

    AI/Ml Assurance

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

    Cluster-Based Flight Trajectory Outlier Detection

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

    Cluster-Based Flight Trajectory Outlier Detection

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

    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
    Keywords: active learning , machine learning

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

    Joshua Stuckner | NTRS
    Keywords: 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
    Keywords: machine learning

    AI/Ml Assurance

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

    Quantum Artificial Intelligence and NASA

    Lucas T. Brady | NTRS
    Keywords: Machine Learning

    Exploring Coanda Effect with 3 Cylinder Geometry

    Satvik Kumar | NTRS
    Keywords: Machine Learning

    Earth Science Deep Learning: Applications and Lessons Learned

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

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