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    Uncertainty quantification of aeroelastic wings flutter using an optimized machine learning approach

    Rezaei, Mohsen / Shirazi, Kourosh H / H Khodaparast, Hamed | SAGE Publications | 2022
    Schlagwörter: machine learning

    The Teaching of Aerospace Vehicle Design at Cranfield University with Particular Reference to the Group Design Project

    Stocking, P J | SAGE Publications | 2007
    Schlagwörter: problem-based learning

    The prediction of autonomous vehicle occupants’ pre-crash motion during emergency braking scenarios

    Freier Zugriff
    Diederich, Alexander / Bastien, Christophe / Blundell, Mike | SAGE Publications | 2023
    Schlagwörter: machine learning

    Tactical driving decisions of unmanned ground vehicles in complex highway environments: A deep reinforcement learning approach

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

    Study of the influence of multiple factors on the boundary layer of a high-lift LPT with the RBF-GA method

    Sun, Shuang / Huang, Zhen / Kang, Jinhui et al. | SAGE Publications | 2024
    Schlagwörter: machine 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

    Spacecraft autonomous navigation using line-of-sight directions of non-cooperative targets by improved Q-learning based extended Kalman filter

    Xiong, Kai / Zhou, Peng / Wei, Chunling | SAGE Publications | 2024
    Schlagwörter: Q-learning

    Soft one-class extreme learning machine for turboshaft engine fault detection

    Zhao, Yong-Ping / Huang, Gong | SAGE Publications | 2022
    Schlagwörter: machine learning , one-class extreme learning machine

    SMART on-board multi-sensor obstacle detection system for improvement of rail transport safety

    Ristić-Durrant, Danijela / Haseeb, Muhammad Abdul / Banić, Milan et al. | SAGE Publications | 2022
    Schlagwörter: machine learning

    Single-lever control method design based on power management system and deep reinforcement learning for turboprop engines

    Ji, Run-Min / Huang, Xiang-Hua / Zhang, Xing-Long et al. | SAGE Publications | 2024
    Schlagwörter: deep reinforcement learning

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