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

1–50 von 433 Ergebnissen
|

    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

    AI/Ml Assurance

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

    Evolutionary Reinforcement Learning: Hybrid Approach for Safety-Informed Fault-Tolerant Flight Control

    Gavra, Vlad / van Kampen, Erik-Jan | AIAA | 2024
    Schlagwörter: Reinforcement Learning , Deep Reinforcement Learning

    Route-Recapturing State-Based Horizontal Maneuver Strategy for Automated Detect-and-Avoid

    M. G. Wu | NTIS | 2024
    Schlagwörter: Reinforcement learning

    Route-Recapturing State-Based Horizontal Maneuver Strategy for Automated Detect-and-Avoid

    M. Gilbert Wu | NTRS | 2024
    Schlagwörter: reinforcement learning

    Fast Tunnel Traversal for Ground Vehicles by Bearing Estimation with Neural Networks

    Cano, Lorenzo / Tardioli, Danilo / Mosteo, Alejandro R. | Springer Verlag | 2024
    Schlagwörter: Deep Learning

    A Novel Approach to Light Detection and Ranging Sensor Placement for Autonomous Driving Vehicles Using Deep Deterministic Policy Gradient Algorithm

    Berens, Felix / Ambs, Jordan / Reischl, Markus et al. | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Semantic communication aware reinforcement learning for communication fault-tolerant UAV collaborative control

    Freier Zugriff
    Yang ZHANG, Hongyu GU, Bohao FENG, Ran WANG | DOAJ | 2024
    Schlagwörter: reinforcement learning

    Progress in artificial intelligence-based visual servoing of autonomous unmanned aerial vehicles (UAVs)

    Freier Zugriff
    Muaz Al Radi / Maryam Nooman AlMallahi / Ameena Saad Al-Sumaiti et al. | DOAJ | 2024
    Schlagwörter: Reinforcement learning

    Reinforcement-Learning-Based Robust Guidance for Asteroid Approaching

    Yang, Hongwei / Hu, Jincheng / Li, Shuang et al. | AIAA | 2024
    Schlagwörter: Reinforcement Learning

    Reinforcement learning-based autonomous generation technology for product oil tanker loading schemes

    Freier Zugriff
    Hongtao NI / Qingji ZHOU / Song CHAI et al. | DOAJ | 2024
    Schlagwörter: machine learning

    Deep Learning Based Fast Prediction and Optimization of Aerodynamic Performance for a Propeller with Gurney Flap

    Liu, Liu / Gao, Zeming / Wang, Tianqi et al. | Springer Verlag | 2024
    Schlagwörter: Deep learning

    Artificial Intelligence-Based Field-Programmable Gate Array Accelerator for Electric Vehicles Battery Management System

    Patil , B. P. / Nagarale, Satyashil D. | SAE Technical Papers | 2024
    Schlagwörter: Machine learning

    Generation of Optimized Trajectories for Congestion Mitigation in Fukuoka Approach Control Area Using Deep Reinforcement Learning

    Iwatsuki, Yota / Kawamoto, Yasutaka / Higashino, Shin-Ichiro | Springer Verlag | 2024
    Schlagwörter: Deep reinforcement learning

    On-Orbit Proximity Operations About Controlled Uncooperative Targets Using Meta-Predictor

    Fu, Jiangliang / Chen, Li / Zhang, Dexin et al. | AIAA | 2024
    Schlagwörter: Inverse Reinforcement Learning

    Learn more about NASA Langley’s Crew Systems Capabilities!

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

    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

    Attitude Control of Flexible Multibody Spacecraft via Shape Change

    Vatankhahghadim, Behrad / Lovera, Marco | AIAA | 2024
    Schlagwörter: Iterative Learning Control

    Online Corrections to Neural Policy Guidance for Pinpoint Powered Descent

    Cho, Namhoon / Shin, Hyo-Sang / Tsourdos, Antonios et al. | AIAA | 2024
    Schlagwörter: Representation 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

    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

    Soziotechnisches Assistenzsystem zur lernförderlichen Arbeitsgestaltung in der robotergestützten Montage

    Freier Zugriff
    Albu-Schäffer, Alin Olimpiu / Huchler, Norbert / Kessler, Ingmar et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2023
    Schlagwörter: Arbeitsimmanentes Lernen

    Machine Learning Methods to Improve the Accuracy of Industrial Robots

    Murphy, Adrian / Higgins, Colm / Butterfield, Joe et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Robust Multiagent Reinforcement Learning toward Coordinated Decision-Making of Automated Vehicles

    Lv, Chen / Chen, Hao / He, Xiangkun | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Review of intelligent detection and statistical methods of wild animals in UAV aerial photography

    Freier Zugriff
    ZHU Ninghua / ZHENG Jiangbin / ZHANG Yang | DOAJ | 2023
    Schlagwörter: deep learning , transfer learning

    A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything

    Liu, Sheng / Elangovan, Vivekanandh / Xiang, Weidong | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Deeper Learning Needed from Machine Learning

    AIAA | 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

    Collision Avoidance in Collaborative Robotics Based on Real-Time Skeleton Tracking

    Forlini, Matteo / Neri, Federico / Scoccia, Cecilia et al. | Springer Verlag | 2023
    Schlagwörter: Machine Learning , Deep 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

    DIP Predictive Engine for NY Airspace

    William Jeremy Coupe / Alexandre Arsene Amblard / Sarah Ann Youlton | NTRS | 2023
    Schlagwörter: Machine Learning

    Topological Optimization of Non-Pneumatic Unique Puncture-Proof Tire System Spoke Design for Tire Performance

    Rai, Beena / Dhrangdhariya, Priyankkumar / Maiti, Soumyadipta | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Multi-agent Decision-Making Framework Based on Value Decomposition for Connected Automated Vehicles at Highway On-Ramps

    Wang, Jinzhu / Zhu, Xichan / Ma, Zhixiong | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Review of Intelligent Algorithms for Autonomous Path Planning of UAVs

    Freier Zugriff
    Guo Qimin, Zhang Peng, Wang Yingyang, Wang Shi | DOAJ | 2023
    Schlagwörter: |uav|path planning|autonomy|intelligent evolutionary algorithm|machine learning algorithm

    A New Optimal Design of Stable Feedback Control of Two-Wheel System Based on Reinforcement Learning

    Zhu, Xuebin / Yu, Zhenghong | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Train Regenerative Braking Strategy Optimization Based on Reinforcement Learning

    Zeng, Xiaoqing / Liu, Liqun / Yuan, Tengfei | Springer Verlag | 2023
    Schlagwörter: Reinforcement learning

    A Comparative Study of Longitudinal Vehicle Control Systems in Vehicle-to-Infrastructure Connected Corridor

    Fitzpatrick, Benjamin / King, Brian / Yoon, Hwan-Sik et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Model-Free Intelligent Control for Antilock Braking Systems on Rough Roads

    Hamersma, Herman A. / Abreu, Ricardo / Botha, Theunis R. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Data-Driven Prediction of Key Combustion Parameters Based on an Intelligent Diesel Fuel Injector for Large Engine Applications

    Wimmer, Andreas / Laubichler, Christian / Negri, Claudio et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Recurrent Neural Network Model for On-Board Estimation of the Side-Slip Angle in a Four-Wheel Drive and Steering Vehicle

    King, Julian / Fainello, Marco / Ballesio, Stefano et al. | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Lateral Control of Distributed Propulsion Aircraft Using Deep Reinforcement Learning

    Ni, Wenjun / Wu, Di / Ma, Xiaoping | Springer Verlag | 2023
    Schlagwörter: Reinforcement learning

    Research on Flight Control Method of Micro Co-axial Rotor UAV Based on Reinforcement Learning

    Xu, Yiqi / Liu, Zhen | Springer Verlag | 2023
    Schlagwörter: Deep reinforcement learning

    The Path to Safe Machine Learning for Automotive Applications

    Burton, Simon | SAE Technical Papers | 2023
    Schlagwörter: Machine learning

    Non-cooperative Spacecraft Detection Based on Deep Learning Under Complex Space Environment

    Yu, Shengxin / Wu, Yunhua / Guo, Haibo et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning network

    Seamless Passenger Experience for the Airport Environment: Research at DARTeC

    Amil, Fatma Gul / Rana, Zeeshan / Zhao, Yifan | Springer Verlag | 2023
    Schlagwörter: Deep learning

    Deep Learning for Space Applications

    Lui Wang | NTRS | 2023
    Schlagwörter: Machine Learning

    Transport Category Aircraft Fuselage Integrated Design

    Dveirin, Oleksandr / Hrebenikov, Oleksandr / Humennyi, Andriy et al. | Springer Verlag | 2023
    Schlagwörter: Machine Learning