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    Trajectory tracking for autonomous vehicles on varying road surfaces by friction-adaptive nonlinear model predictive control

    Berntorp, K. / Quirynen, R. / Uno, T. et al. | Taylor & Francis Verlag | 2020
    Keywords: parameter learning

    Evolutionary Reinforcement Learning: Hybrid Approach for Safety-Informed Fault-Tolerant Flight Control

    Gavra, Vlad / van Kampen, Erik-Jan | AIAA | 2024
    Keywords: Reinforcement Learning , Deep Reinforcement Learning

    A data-driven dynamics simulation framework for railway vehicles

    Nie, Yinyu / Tang, Zhao / Liu, Fengjia et al. | Taylor & Francis Verlag | 2018
    Keywords: machine learning

    Good understanding, mutual respect and shared values: interview with Jane Taylor and Debbie Brenner, former joint chief executives, Owl

    Vickery, Lynn | Emerald Group Publishing | 2010
    Keywords: Learning disabilities

    Small-amplitude bogie hunting identification method for high-speed trains based on machine learning

    Guo, Jinying / Zhang, Gexiang / Shi, Huailong et al. | Taylor & Francis Verlag | 2024
    Keywords: machine learning

    Vehicle yaw stability control with a two-layered learning MPC

    Zhang, Zhiming / Xie, Lei / Lu, Shan et al. | Taylor & Francis Verlag | 2023
    Keywords: model learning

    Driver steering and muscle activity during a lane-change manoeuvre

    Pick, Andrew J. / Cole, David J. | Taylor & Francis Verlag | 2007
    Keywords: Learning

    Friction-adaptive stochastic nonlinear model predictive control for autonomous vehicles

    Vaskov, Sean / Quirynen, Rien / Menner, Marcel et al. | Taylor & Francis Verlag | 2024
    Keywords: machine learning

    On adaptive attitude tracking control of spacecraft: A reinforcement learning based gain tuning way with guaranteed performance

    Wei, Caisheng / Xiong, Yunwen / Chen, Qifeng et al. | Elsevier | 2023
    Keywords: Reinforcement learning

    Deep reinforcement learning spacecraft guidance with state uncertainty for autonomous shape reconstruction of uncooperative target

    Brandonisio, Andrea / Capra, Lorenzo / Lavagna, Michèle | Elsevier | 2023
    Keywords: Reinforcement learning

    The effects of proton exposure on neurochemistry and behavior

    Shukitt-Hale, B / Szprengiel, A / Pluhar, J et al. | Elsevier | 2003
    Keywords: Spatial learning

    Research on the air brake system of heavy haul trains based on neural network

    Zhou, Xinyi / Cheng, Shu / Yu, Tianjian et al. | Taylor & Francis Verlag | 2024
    Keywords: machine learning

    Robust multi-task learning and online refinement for spacecraft pose estimation across domain gap

    Park, Tae Ha / D’Amico, Simone | Elsevier | 2023
    Keywords: Deep learning

    Vehicle detection and masking in UAV images using YOLO to improve photogrammetric products

    Free access
    Pargieła Karolina | DOAJ | 2022
    Keywords: deep learning

    Data-driven train set crash dynamics simulation

    Tang, Zhao / Zhu, Yunrui / Nie, Yinyu et al. | Taylor & Francis Verlag | 2017
    Keywords: machine learning

    Comparative performance of Sentinel-2 MSI and Landsat-8 OLI data in canopy cover prediction using Random Forest model: Comparing model performance and tuning parameters

    Bera, Dipankar / Das Chatterjee, Nilanjana / Bera, Sudip et al. | Elsevier | 2023
    Keywords: Machine learning

    Prediction of Zenith tropospheric delay in GNSS observations using support vector regression

    Akar, Ali Utku / Inal, Cevat | Elsevier | 2023
    Keywords: Machine Learning

    Integrated driver modelling considering state transition feature for individual adaptation of driver assistance systems

    Raksincharoensak, Pongsathorn / Khaisongkram, Wathanyoo / Nagai, Masao et al. | Taylor & Francis Verlag | 2010
    Keywords: statistical machine learning

    Comparative analysis of multi-source data for machine learning-based LAI estimation in Argania spinosa

    Mouafik, Mohamed / Fouad, Mounir / Audet, Felix Antoine et al. | Elsevier | 2024
    Keywords: Machine Learning

    Jane

    Edwards, Niki | Emerald Group Publishing | 2008
    Keywords: Learning disabilities

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