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1–50 von 226 Ergebnissen
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    AI/Ml Assurance

    G. Brat / K. Ellis / S. Brandt | NTIS | 2024
    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

    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

    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

    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

    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

    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

    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

    Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion

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

    DIP Predictive Engine for NY Airspace

    William Jeremy Coupe / Alexandre Arsene Amblard / Sarah Ann Youlton | NTRS | 2023
    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

    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

    Reinforcement Learning Approach to Flight Control Allocation with Distributed Electric Propulsion

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

    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

    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

    The Path to Safe Machine Learning for Automotive Applications

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

    Real-Time Condition Monitoring of Multi-Component High Torque Helical Gearbox in Coal Handling Belt Conveyor System Using Machine Learning – A Statistical Approach

    V, Muralidharan / D, Pradeep Kumar / Santhanam, Ravikumar et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    An Auto-Encoder Based TinyML Approach for Real-Time Anomaly Detection

    Sai Charan, Kovuru | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Virtual Evaluation of Deep Learning Techniques for Vision-Based Trajectory Tracking

    Salvi, Ameya / Buzhardt, Jake / Smereka, Jonathon M. et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Machine Learning Model for Spark-Assisted Gasoline Compression Ignition Engine

    AlRamadan, Abdullah S. / Mohan, Balaji / Badra, Jihad et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    A camera self-health-maintenance system based on sensor artificial intelligence

    Freier Zugriff
    Wischow, Maik / Gallego, Guillermo / Ernst, Ines et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Machine Learning

    Simulation of Telemetry Signals of a Car Using Machine Learning

    Revi, Krishna / Munet, Rahul / Vijaya Kumar, Santhosh Kumar et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    The Missing Link: Developing a Safety Case for Perception Components in Automated Driving

    Huang, Chengjie / Kuwajima, Hiroshi / Yasuoka, Hirotoshi et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Introducing AI/ML GCMD Keywords

    V. Dixon | NTIS | 2022
    Schlagwörter: Machine learning

    Crash Safety Design for Lithium-ion Vehicle Battery Module with Machine Learning

    Zhu, Feng / Logakannan, Krishna | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

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

    N. A. Neogi / S. M. Lehman | NTIS | 2022
    Schlagwörter: Machine learning

    Deep Learning for Real-Time Aerodynamic Evaluations of Arbitrary Vehicle Shapes

    Othmer, Carsten / Köstler, Harald / Mrosek, Markus et al. | SAE Technical Papers | 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 | 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

    Performance of the Machine Learning on Controlling the Pneumatic Suspension of Automobiles on the Rigid and Off-Road Surfaces

    Shiming, Li / Dengke, Ni / Nguyen, Vanliem et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Tire Track Identification: A Method for Drivable Region Detection in Conditions of Snow-Occluded Lane Lines

    Goberville, Nicholas A. / Kadav, Parth / Asher, Zachary D. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Next-Gen Maintenance Framework for Urban Air Mobility Vehicles

    Elahi, Imtiaz / Kadeppagari, Murali / Panicker, Renju et al. | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Data-Driven Set Based Concurrent Engineering Method for Multidisciplinary Design Optimization

    Abe, Atsuji / Shintani, Kohei / Tsuchiyama, Minoru | SAE Technical Papers | 2022
    Schlagwörter: Machine learning

    Sustainable Aviation Operations and the Role of Information Technology and Data Science: Background, Current Status and Future Directions

    Banavar Sridhar / David Bell | NTRS | 2022
    Schlagwörter: Sustainable Aviation, Data Science, Machine Learning Techniques, Trustworthy AI

    Sustainable Aviation Operations and the Role of Information Technology and Data Science: Background, Current Status and Future Directions

    Banavar Sridhar / David Bell | NTRS | 2022
    Schlagwörter: Sustainable Aviation, Data Science, Machine Learning Techniques, Trustworthy AI

    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

    ISVAR: In-Situ Validation of Augmented Reality

    S. M. Lehman | NTIS | 2022
    Schlagwörter: Machine learning