Synonyme wurden verwendet für: Machine learning
Suche ohne Synonyme: keywords:("Machine learning")

1–50 von 274 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

    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

    Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networks

    Giraldo-Grueso, Felipe / Popov, Andrey A. / Zanetti, Renato | AIAA | 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

    Development of a Language Model for Named-Entity-Recognition in Aerospace Requirements

    Tikayat Ray, Archana / Pinon Fischer, Olivia J. / White, Ryan T. et al. | AIAA | 2024
    Schlagwörter: Machine Learning

    Learn more about NASA Langley’s Crew Systems Capabilities!

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

    Automated Spoken-to-Coded Pilot Weather Reports in General Aviation

    Gupta, Shantanu / Pitts, Brandon J. / Johnson, Mary E. | AIAA | 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

    Framework for Offline Data-Driven Aircraft Fault Diagnosis

    Dahleni Kraemer, Aline / Villani, Emilia | AIAA | 2024
    Schlagwörter: Machine Learning

    Learning to optimize: Dynamische Komplexe Routenoptimierung für Fahrzeugflotten : Kurzbericht, Teil I, Schlussbericht, Teil II

    Freier Zugriff
    Universität Hildesheim, Institut für Informatik / Universität Hildesheim, Institut für Betriebswirtschaft und Wirtschaftsinformatik / Spedifix Logistiksoftware et al. | TIBKAT | 2023
    Schlagwörter: Maschinelles Lernen

      Learning to optimize: Dynamische Komplexe Routenoptimierung für Fahrzeugflotten : Kurzbericht, Teil I, Schlussbericht, Teil II

      Universität Hildesheim, Institut für Informatik / Universität Hildesheim, Institut für Betriebswirtschaft und Wirtschaftsinformatik / Spedifix Logistiksoftware et al. | TIBKAT | 2023
      Schlagwörter: Maschinelles Lernen

    Introduction to the Virtual Collection on Machine Learning in Aerospace

    Sunberg, Zach / Oh, Hyondong | AIAA | 2023
    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

    Deeper Learning Needed from Machine Learning

    AIAA | 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

    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

    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

    DIP Predictive Engine for NY Airspace

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

    Data-Driven Approach Toward Airspace Design for Regional Air Mobility Operations in Korea

    Kim, Junghyun / Kim, Seulki | AIAA | 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

    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

    Optimizing inventory control through a data-driven and model-independent framework

    Freier Zugriff
    Evangelos Theodorou / Evangelos Spiliotis / Vassilios Assimakopoulos | DOAJ | 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

    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

    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

    Natural-Language-Processing-Enabled Quantitative Risk Analysis of Aerial Wildfire Operations

    Andrade, Sequoia / Walsh, Hannah S. | AIAA | 2023
    Schlagwörter: Machine Learning

    Adversarial Learning Improves Vision-Based Perception from Drones with Imbalanced Datasets

    Dolph, Chester V. / Ippolito, Corey / Glaab, Louis J. et al. | AIAA | 2023
    Schlagwörter: Machine Learning

    Statistical-machine-learning-based intelligent relaxation for set-covering location models to identify locations of charging stations for electric vehicles

    Freier Zugriff
    Selcen Gülsüm Aslan Özşahin / Babek Erdebilli | DOAJ | 2023
    Schlagwörter: Statistical-machine-learning-based intelligent optimization

    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

    Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications

    Dunkel, Emily R. / Swope, Jason / Candela, Alberto et al. | AIAA | 2023
    Schlagwörter: Machine Learning

    The Path to Safe Machine Learning for Automotive Applications

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

    Identification of Uncertain Parameter in Flight Vehicle Using Physics-Informed Deep Learning

    Na, Kyung-Mi / Lee, Chang-Hun | AIAA | 2023
    Schlagwörter: Machine Learning

    Extending the NOEL-V Platform with a RISC-V Vector Processor for Space Applications

    Di Mascio, Stefano / Menicucci, Alessandra / Gill, Eberhard et al. | AIAA | 2023
    Schlagwörter: Machine Learning

    Deep Learning for Space Applications

    Lui Wang | NTRS | 2023
    Schlagwörter: Machine Learning

    Data-Driven Departure Flight Time Prediction Based on Feature Construction and Ensemble Learning

    Xu, Jiaxin / Zhang, Junfeng / Peng, Zihan et al. | AIAA | 2023
    Schlagwörter: Machine Learning

    Transport Category Aircraft Fuselage Integrated Design

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

    Data-Driven Hazard Avoidance Landing of Parafoil: A Deep Reinforcement Learning Approach

    Park, Junwoo / Bang, Hyochoong | AIAA | 2023
    Schlagwörter: Machine Learning Control

    Künstliche Intelligenz für die Entwicklung von Antrieben : Historie, Arbeitsprozesse, Konzepte, Methoden und Anwendungsbeispiele

    Mirfendreski, Aras / Springer-Verlag GmbH | TIBKAT | 2022
    Schlagwörter: Maschinelles Lernen

    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

    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