81–100 von 108 Ergebnissen
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Ihre Suche:
keywords:(learning)

    A deep reinforcement learning-based approach for autonomous driving in highway on-ramp merge

    Wang, Huanjie / Yuan, Shihua / Guo, Mengyu et al. | SAGE Publications | 2021
    Schlagwörter: reinforcement learning

    Strategy for on-orbit space object classification using deep learning

    Lim, Seongmin / Kim, Jin-Hyung / Kim, Hae-Dong | SAGE Publications | 2021
    Schlagwörter: Deep learning

    Deep learning structure for collision avoidance planning of unmanned surface vessel

    Li, Yun / Zheng, Jian | SAGE Publications | 2021
    Schlagwörter: deep learning

    Machine learning–based reduced-order modeling of hydrodynamic forces using pressure mode decomposition

    Ahmed, Hassan F / Farooq, Hamayun / Akhtar, Imran et al. | SAGE Publications | 2021
    Schlagwörter: Machine learning

    Integrated celestial navigation for spacecraft using interferometer and Earth sensor

    Xiong, Kai / Wei, Chunling | SAGE Publications | 2020
    Schlagwörter: Q-learning

    Neural networks for modelling the energy consumption of metro trains

    Martínez Fernández, Pablo / Salvador Zuriaga, Pablo / Villalba Sanchís, Ignacio et al. | SAGE Publications | 2020
    Schlagwörter: machine learning

    A novel adaptive and fast deep convolutional neural network for bearing fault diagnosis under different working conditions

    Xu, Kun / Li, Shunming / Wang, Jinrui et al. | SAGE Publications | 2020
    Schlagwörter: Deep learning

    Deep learning-based inertia tensor identification of the combined spacecraft

    Chu, Weimeng / Wu, Shunan / He, Xiao et al. | SAGE Publications | 2020
    Schlagwörter: deep learning

    Deep learning procedure for knock, performance and emission prediction at steady-state condition of a gasoline engine

    Shin, Seunghyup / Lee, Sangyul / Kim, Minjae et al. | SAGE Publications | 2020
    Schlagwörter: Deep learning

    Non-intrusive reduced-order modeling for fluid problems: A brief review

    Yu, Jian / Yan, Chao / Guo, Mengwu | SAGE Publications | 2019
    Schlagwörter: machine learning

    A review of the artificial neural network surrogate modeling in aerodynamic design

    Sun, Gang / Wang, Shuyue | SAGE Publications | 2019
    Schlagwörter: machine learning

    Performance evaluation and prediction of rudders based on machine learning technology

    Chang, Binglu / Yang, Ruifeng / Guo, Chenxia et al. | SAGE Publications | 2019
    Schlagwörter: machine learning

    Net winch design in trawlers, influence of vessel size and fishing ground

    Carral Couce, Luis / Couce, Juan Carral / Tarrío-Saavedra, Javier et al. | SAGE Publications | 2019
    Schlagwörter: statistical learning

    Evaluation of machine learning algorithms for detection of road induced shocks buried in vehicle vibration signals

    Lepine, Julien / Rouillard, Vincent / Sek, Michael | SAGE Publications | 2019
    Schlagwörter: machine learning

    A fractional Fourier transform-based method to detect impacts between the bogie and the car body of a railway vehicle: A data-driven approach

    Gutiérrez-Carvajal, RE / Betancur, German R / Castañeda, Leonel F et al. | SAGE Publications | 2018
    Schlagwörter: machine learning

    Augmented Lagrangian teaching–learning-based optimization for structural design

    Li, Hong-Shuang / Dong, Qiao-Yue / Yuan, Jiao-Yang | SAGE Publications | 2018
    Schlagwörter: teaching–learning-based optimization

    Online learning fuzzy vibration control of smart truss structure

    Xu, Rui / Li, Dongxu / Jiang, Jianping | SAGE Publications | 2017
    Schlagwörter: online learning

    Navigational control of underwater mobile robot using dynamic differential evolution approach

    Parhi, Dayal R / Kundu, S | SAGE Publications | 2017
    Schlagwörter: self-learning

    Estimating the traction factor and designing the deck gear for the anchor handling tug

    Carral-Couce, Luis / Naya, Salvador / Álvarez Feal, Carlos et al. | SAGE Publications | 2017
    Schlagwörter: statistical learning