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1–20 von 6,698 Ergebnissen
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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

    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

    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

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

    Freier Zugriff
    Morabito, Bruno | 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

    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

    Kernel adapted extreme learning machine for cross-domain fault diagnosis of aero-engines

    Li, Bing / Xue, Shao-Kai / Fu, Yu-Hui et al. | Elsevier | 2024
    Schlagwörter: Transfer learning , Kernel extreme learning machine

    Quality of service provisioning optimization for coexisting services in vehicular communications via anticipatory networking

    Freier Zugriff
    Külzer, Daniel Fabian | TIBKAT | 2024
    Schlagwörter: Maschinelles Lernen

    FedRDR: Federated Reinforcement Distillation-Based Routing Algorithm in UAV-Assisted Networks for Communication Infrastructure Failures

    Freier Zugriff
    Jie Li / Anqi Liu / Guangjie Han et al. | DOAJ | 2024
    Schlagwörter: reinforcement learning , federated learning

    Inferring heterogeneous treatment effects of crashes on highway traffic: A doubly robust causal machine learning approach

    Li, Shuang / Pu, Ziyuan / Cui, Zhiyong et al. | Elsevier | 2024
    Schlagwörter: Causal machine learning , Doubly robust learning