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    Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties

    Pan, Hong / Gui, Guoqing / Lin, Zhibin et al. | Springer Verlag | 2018
    Schlagwörter: deep learning , probabilistic learning , deep Bayesian belief network learning

    Sound-Based Abnormal Combustion Classification Model for High Compression Ratio, Spark-Ignition Engines Using Mel-Frequency Cepstrum Coefficients and Ensemble Learning Algorithms

    Kim, Seongsu / Kim, Junghwan | Springer Verlag | 2023
    Schlagwörter: Supervised learning , Ensemble learning

    Iterative Learning Control Algorithm for Feedforward Controller of EGR and VGT Systems in a CRDI Diesel Engine

    Min, Kyunghan / Sunwoo, Myoungho / Han, Manbae | Springer Verlag | 2018
    Schlagwörter: Learning control , Iterative learning control

    Decision-making for Connected and Automated Vehicles in Chanllenging Traffic Conditions Using Imitation and Deep Reinforcement Learning

    Hu, Jinchao / Li, Xu / Hu, Weiming et al. | Springer Verlag | 2023
    Schlagwörter: Imitation learning , Deep reinforcement learning

    Autonomous maneuver strategy of swarm air combat based on DDPG

    Freier Zugriff
    Wang, Luhe / Hu, Jinwen / Xu, Zhao et al. | Springer Verlag | 2021
    Schlagwörter: Deep reinforcement learning , Machine Learning

    Machine Learning in Automotive Data Potential, Analytics Power

    Mukherjee, Debashis / Biswal, Rajesh | Springer Verlag | 2015
    Schlagwörter: Machine Learning , Machine Learning Algorithm

    Multi-agent reinforcement learning for autonomous vehicles: a survey

    Freier Zugriff
    Dinneweth, Joris / Boubezoul, Abderrahmane / Mandiau, René et al. | Springer Verlag | 2022
    Schlagwörter: Multi-agent reinforcement learning , Machine Learning

    Predicting Hydrological Drought Alert Levels Using Supervised Machine-Learning Classifiers

    Jehanzaib, Muhammad / Shah, Sabab Ali / Son, Ho Jun et al. | Springer Verlag | 2022
    Schlagwörter: Machine-learning classifier , Supervised learning

    Ensemble-based Deep Learning Approach for Performance Improvement of BIM Element Classification

    Yu, Young Su / Kim, Si Hyun / Lee, Won Bok et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning , Ensemble learning

    Pedestrian Collision Avoidance Using Deep Reinforcement Learning

    Rafiei, Alireza / Fasakhodi, Amirhossein Oliaei / Hajati, Farshid | Springer Verlag | 2022
    Schlagwörter: Deep reinforcement learning , Car Learning to Act (CARLA)

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