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    Einsatzindividuelles, intelligentes Energiemanagement im hybriden Nutzfahrzeug

    Freier Zugriff
    Palm, Kerstin | TIBKAT | 2024
    Schlagwörter: Maschinelles Lernen

    Integrating big data analytics in autonomous driving: An unsupervised hierarchical reinforcement learning approach

    Mao, Zhiqi / Liu, Yang / Qu, Xiaobo | Elsevier | 2024
    Schlagwörter: Reinforcement learning , Deep learning , Unsupervised skill learning

    A Survey of Offline- and Online-Learning-Based Algorithms for Multirotor Uavs

    Freier Zugriff
    Serhat Sönmez / Matthew J. Rutherford / Kimon P. Valavanis | DOAJ | 2024
    Schlagwörter: offline learning , online learning , reinforcement learning , deep learning , machine learning

    Learning Driver Behavior Models for Predicting Urban Traffic Situations

    Freier Zugriff
    Sackmann, Moritz | TIBKAT | 2024
    Schlagwörter: Maschinelles Lernen

    Probabilistic prediction of energy demand and driving range for electric vehicles with federated learning

    Freier Zugriff
    Thorgeirsson, Adam Thor | TIBKAT | 2024
    Schlagwörter: Maschinelles Lernen

    Applying Machine Learning Tools for Runway Configuration Decision Support

    K. M. Kalyanam / M. Memarzadeh / J. Crissman et al. | NTIS | 2024
    Schlagwörter: Machine learning , Q-learning

    Deep learning based multi-modal perception and semi-automatic labelling algorithms for automotive sensor data

    Freier Zugriff
    Haase-Schütz, Christian | TIBKAT | 2024
    Schlagwörter: Deep learning , Maschinelles Lernen

    Deep Reinforcement Learning basierte Leistungsmanagementstrategie in 12 V-Bordnetzen

    Freier Zugriff
    Tan, Ömer | TIBKAT | 2024
    Schlagwörter: Deep learning , Bestärkendes Lernen

    Risk-aware and Robust Approaches for Machine Learning-supported Model Predictive Control for Iterative Processes

    Freier Zugriff
    Morabito, Bruno | TIBKAT | 2024
    Schlagwörter: Maschinelles Lernen

    Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning

    Zhang, Pujun / Lei, Dazhou / Liu, Shan et al. | Elsevier | 2024
    Schlagwörter: Inverse reinforcement learning , Meta-learning

    Recent advances and prospects in hypersonic inlet design and intelligent optimization

    Ma, Yue / Guo, Mingming / Tian, Ye et al. | Elsevier | 2024
    Schlagwörter: Machine learning , Reinforcement learning

    Adaptive human-robot policy blending for shared control teleoperation

    Freier Zugriff
    Oh, Yoojin | TIBKAT | 2024
    Schlagwörter: Maschinelles Lernen

    Learning two-dimensional merging behaviour from vehicle trajectories with imitation learning

    Sun, Jie / Yang, Hai | Elsevier | 2024
    Schlagwörter: Imitation learning , Adversarial inverse reinforcement learning

    Traffic Lights Control Using Reinforcement Learning: A Comparative Study

    Errajraji, Khalid / Bouayad, Anas / Fardousse, Khalid | Springer Verlag | 2024
    Schlagwörter: Reinforcement learning , Q-learning , Deep Q-learning

    Learning Sliding Policy of Flat Multi-target Objects in Clutter Scenes

    Freier Zugriff
    Wu, Liangdong / Wu, Jiaxi / Li, Zhengwei et al. | BASE | 2024
    Schlagwörter: Deep Learning in Manipulation , Reinforcement Learning

    Towards Fully Autonomous Drone Tracking by a Reinforcement Learning Agent Controlling a Pan–Tilt–Zoom Camera

    Freier Zugriff
    Mariusz Wisniewski / Zeeshan A. Rana / Ivan Petrunin et al. | DOAJ | 2024
    Schlagwörter: reinforcement learning , deep learning , machine learning

    Lithological mapping of Nidar ophiolite complex, Ladakh using high-resolution data

    Chauhan, Mamta / Sur, Koyel / Chauhan, Prakash et al. | Elsevier | 2024
    Schlagwörter: Machine learning

    The construction of a neural network proxy model for ship hull design based on multi-fidelity datasets and the parameter freezing strategy

    Ao, Yu / Li, Shaofan / Li, Yunbo et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: Deep learning , machine learning

    Multiclass skin lesion classification using image augmentation technique and transfer learning models

    Swetha R, Naga / Shrivastava, Vimal K. / Parvathi, K. | Emerald Group Publishing | 2024
    Schlagwörter: Transfer learning , Deep learning

    Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning

    Cui, Pengfei / Yang, Xiaobao / Abdel-Aty, Mohamed et al. | Elsevier | 2024
    Schlagwörter: Hypergraph Learning , Self-Supervised Learning

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