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    Impact Angle Control Guidance Considering Seeker’s Field-of-View Limit Based on Reinforcement Learning

    Lee, Sangmin / Lee, Youngjun / Kim, Youdan et al. | AIAA | 2023
    Schlagwörter: Reinforcement Learning

    Traffic Flow Forecasting Based on Transformer with Diffusion Graph Attention Network

    Zhang, Hong / Wang, Hongyan / Chen, Linlong et al. | Springer Verlag | 2024
    Schlagwörter: Deep learning

    Price incentive strategy for the E-scooter sharing service using deep reinforcement learning

    Yun, Hyunsoo / Kim, Eui-Jin / Ham, Seung Woo et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: Deep reinforcement learning

    Identification of Common Force-based Robot Skills from the Human and Robot Perspective

    Freier Zugriff
    Eiband, Thomas / Lee, Dongheui | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2021
    Schlagwörter: learning from demonstration , skill learning

    Prediction of fatigue failure in small-scale butt-welded joints with explainable machine learning

    Freier Zugriff
    Braun, Moritz / Kellner, Leon / Schreiber, Sarah et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    Schlagwörter: Fatigue life predictionWelded joints Fatigue strength Machine learning models explainable AIgradient boosted trees SHAP

    Individual and synergistic associations among transit allowance, land use, and transit commuting

    Sun, Shan / Yang, Shuo / Guo, Liang et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    Road identification in monocular color images using random forest and color correlogram

    Choi, J. H. / Song, G. Y. / Lee, J. W. | Springer Verlag | 2012
    Schlagwörter: Learning paradigm

    An Electric Vehicle Transitioning Framework for Public Fleet Planning

    Er Raqabi, El Mehdi / Li, Wenkai | Elsevier | 2023
    Schlagwörter: Machine Learning

    Revealing influences on carsharing users’ trip distance in small urban areas

    Baumgarte, Felix / Keller, Robert / Röhrich, Felix et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    The influence of alternative data smoothing prediction techniques on the performance of a two-stage short-term urban travel time prediction framework

    Guo, Fangce / Krishnan, Rajesh / Polak, John | Taylor & Francis Verlag | 2017
    Schlagwörter: machine learning method

    Vehicular fuel consumption estimation using real-world measures through cascaded machine learning modeling

    Moradi, Ehsan / Miranda-Moreno, Luis | Elsevier | 2020
    Schlagwörter: Machine learning

    Learning To Recognize Driving Patterns For Collectively Characterizing Electric Vehicle Driving Behaviors

    Lee, Chung-Hong / Wu, Chih-Hung | Springer Verlag | 2019
    Schlagwörter: Machine learning

    Environmental screening model of driving behavior for an electric bus entering and leaving stops

    Zhang, Yali / Fu, Rui / Guo, Yingshi et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    On the electrification of road transportation – A review of the environmental, economic, and social performance of electric two-wheelers

    Weiss, Martin / Dekker, Peter / Moro, Alberto et al. | Elsevier | 2015
    Schlagwörter: Learning rates

    Grant-Free Access: Machine Learning for Detection of Short Packets

    Freier Zugriff
    Recayte, Estefania / Munari, Andrea / Clazzer, Federico | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: machine learning

    “Free lessons” in aviation safety

    Rose, Andrew | Emerald Group Publishing | 2004
    Schlagwörter: Experiential learning

    Traffic sign extraction using deep hierarchical feature learning and mobile light detection and ranging (LiDAR) data on rural highways

    Gouda, Maged / Epp, Alexander / Tilroe, Rowan et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: Deep learning

    Development of a Novel Machine Learning Methodology for the Generation of a Gasoline Surrogate Laminar Flame Speed Database under Water Injection Engine Conditions

    Forte, Claudio / Bianchi, Gian Marco / Cazzoli, Giulio et al. | SAE Technical Papers | 2019
    Schlagwörter: Machine learning

    Algorithm for Detecting the Critical Elements of Airborne Radar Systems Based on Operational Analysis of Diagnostic Information Time Series

    Shevtsov, V. A. / Timoshenko, A. V. / Perlov, A. Yu. et al. | Springer Verlag | 2022
    Schlagwörter: machine learning

    An Autonomous Driving Approach Based on Trajectory Learning Using Deep Neural Networks

    Wang, Dan / Wang, Canye / Wang, Yulong et al. | Springer Verlag | 2021
    Schlagwörter: Trajectory learning

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