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1–50 von 201 Ergebnissen
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    A Combined Markov Chain and Reinforcement Learning Approach for Powertrain-Specific Driving Cycle Generation

    Dietrich, Maximilian / Sarkar, Mouktik / Chen, Xi | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Optimal Policies for Platooning and Ride Sharing in Autonomy-Enabled Transportation

    Adler, Aviv / Miculescu, David / Karaman, Sertac | TIBKAT | 2020
    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

    Cluster-Based Flight Trajectory Outlier Detection

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

    Integrated Perception and Control at High Speed: Evaluating Collision Avoidance Maneuvers Without Maps

    Florence, Pete / Carter, John / Tedrake, Russ | TIBKAT | 2020
    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

    Cluster-Based Flight Trajectory Outlier Detection

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

    Unsettled Technology Opportunities for Vehicle Health Management and the Role for Health-Ready Components

    Holland, Steve | SAE Technical Papers | 2020
    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

    Gaussian process regression for forecasting battery state of health

    Richardson, Robert R | Online Contents | 2017
    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

    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

    Exploring Coanda Effect with 3 Cylinder Geometry

    Satvik Kumar | NTRS
    Schlagwörter: Machine Learning

    THC Concentration Estimation Model using FTIR Spectrum

    Yabushita, Hirotaka / Nagaoka, Makoto / Yoshioka, Masaya et al. | SAE Technical Papers | 2021
    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

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

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

    Bridging the Gap between ISO 26262 and Machine Learning: A Survey of Techniques for Developing Confidence in Machine Learning Systems

    Joyce, Jeffrey / Serna, Jose / Millet, Laure et al. | SAE Technical Papers | 2020
    Schlagwörter: Machine learning

    Connected Vehicle Data Time Series Dependence for Machine Learning Model Selection and Specification

    Telenko, Cassandra / Meroux, Dominique / Jiang, Zhen | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures

    Liu, Ruoqian | Online Contents | 2015
    Schlagwörter: Machine 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

    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

    Machine Learning Based Design of Open Cell Foams for Crash Energy Absorption - A Pilot Study

    Zhu, Feng / Zhou, Runzhou / Yang, Zaihan | SAE Technical Papers | 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

    EOSDIS Data Archival

    Valerie Dixon / Jeanne Behnke / Andrew Mitchell | NTRS
    Schlagwörter: Machine Learning

    Deeper Learning Needed from Machine Learning

    AIAA | 2023
    Schlagwörter: Machine Learning

    Comparison of clustering techniques for hybrid rocket fuel combustion data

    Freier Zugriff
    Rüttgers, Alexander / Debus, Charlotte / Siggel, Martin et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: machine learning

    Adaptive Robotic Carving: Training Methods for the Integration of Material Performances in Timber Manufacturing

    Freier Zugriff
    Brugnaro, G / Hanna, S | BASE | 2019
    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

    Local anomaly detection in hybrid rocket combustion tests

    Freier Zugriff
    Rüttgers, Alexander / Petrarolo, Anna | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2021
    Schlagwörter: machine learning

    Clustering of paraffin-based hybrid rocket fuels combustion data

    Freier Zugriff
    Rüttgers, Alexander / Petrarolo, Anna / Kobald, Mario | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2019
    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

    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

    Real World Applications of AI/ML in Optimizing Airspace Operations

    Swati Saxena | NTRS
    Schlagwörter: machine learning

    Establishing More Robust Material Databases

    Bryan Kubitschek | NTRS
    Schlagwörter: Machine Learning

    Multi-Objective Classification of Three-Dimensional Imaging Radar Point Clouds: Support Vector Machine and PointNet

    Bai, Jie / Long, Kai / Dong, Lianfei et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    Uncertainty Estimation for Neural Time Series with an Application to Sideslip Angle Estimation

    Ayyad, Ahmed / Prohm, Christopher / Hilbert, Marc et al. | SAE Technical Papers | 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

    Machine Learning Approach for Constructing Wet Clutch Torque Transfer Function

    Upadhyay, Devesh / Yang, Hang / Shui, Huanyi et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    A Digital Twin Based Approach for Simulation and Emulation of an Automotive Paint Workshop

    Ruperez lng, Adrián / Martinez, Aitor / Lopez, Blanca et al. | SAE Technical Papers | 2021
    Schlagwörter: Machine learning

    IV&V Finalized Challenge Problems from NASA

    Nathaniel Hildebrand / Matthew O'Connell / David Wagner et al. | NTRS
    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

    Artificial Intelligence Enhancements to Imagery for Space Operations

    Rodney Grubbs | NTRS
    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

    NASA ATD2/DIP SWIFT Update

    Richard Alan Capps / William Jeremy Coupe / Mirna Gale Johnson et al. | NTRS
    Schlagwörter: machine learning