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1–20 von 120 Ergebnissen
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    Worst-case scenarios identification approach for the evaluation of advanced driver assistance systems in intelligent/autonomous vehicles under multiple conditions

    Chelbi, Nacer Eddine / Gingras, Denis / Sauvageau, Claude | Taylor & Francis Verlag | 2022
    Schlagwörter: ensemble and machine learning

    Welding distortion prediction of ship plate frame structures based on a self-learning database

    Cao, Yu / Song, Yuze / Zhang, Tao et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: self-learning database

    Wake distribution prediction on the propeller plane in ship design using artificial intelligence

    Kim, S.-Y. / Moon, B. Y. | Taylor & Francis Verlag | 2006
    Schlagwörter: learning algorithm

    Vehicle yaw stability control with a two-layered learning MPC

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

    Using reinforcement learning to minimize taxi idle times

    O’Keeffe, Kevin / Anklesaria, Sam / Santi, Paolo et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning , reinforcement learning

    Traffic volume prediction on low-volume roadways: a Cubist approach

    Das, Subasish | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Traffic sign extraction using deep hierarchical feature learning and mobile light detection and ranging (LiDAR) data on rural highways

    Gouda, Maged / Epp, Alexander / Tilroe, Rowan et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: Deep learning

    The level of delay caused by crashes (LDC) in metropolitan and non-metropolitan areas: a comparative analysis of improved Random Forests and LightGBM

    Wang, Zehao / Jiao, Pengpeng / Wang, Jianyu et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: feature learning , machine learning

    Testing and enhancing spatial transferability of artificial neural networks based travel behavior models

    Koushik, Anil NP / Manoj, M / Nezamuddin, N et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: Machine learning , Transfer learning

    Station-level short-term demand forecast of carsharing system via station-embedding-based hybrid neural network

    Zhao, Feifei / Wang, Weiping / Sun, Huijun et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: Machine learning

    Social group detection based on multi-level consistent behaviour characteristics

    Li, Meng / Chen, Tao / Du, Hao et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: unsupervised learning

    Short-term prediction of traffic dynamics with real-time recurrent learning algorithms

    Sheu, Jiuh-Biing / Lan, Lawrence W. / Huang, Yi-San | Taylor & Francis Verlag | 2009
    Schlagwörter: real-time recurrent learning

    Ship selection in port state control: status and perspectives

    Yan, Ran / Wang, Shuaian / Peng, Chuansheng | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning in maritime transportation

    Shipping market forecasting by forecast combination mechanism

    Gao, Ruobin / Liu, Jiahui / Du, Liang et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    Ship classification based on convolutional neural networks

    Yang, Yang / Ding, Kaifa / Chen, Zhuang | Taylor & Francis Verlag | 2022
    Schlagwörter: transfer learning

    SATP-GAN: self-attention based generative adversarial network for traffic flow prediction

    Zhang, Liang / Wu, Jianqing / Shen, Jun et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: reinforcement learning

    Revisiting kernel logistic regression under the random utility models perspective. An interpretable machine-learning approach

    Martín-Baos, José Ángel / García-Ródenas, Ricardo / Rodriguez-Benitez, Luis | Taylor & Francis Verlag | 2021
    Schlagwörter: machine Learning

    Reinforcement learning-enabled genetic algorithm for school bus scheduling

    Köksal Ahmed, Eda / Li, Zengxiang / Veeravalli, Bharadwaj et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: reinforcement learning

    Real-time traffic incident detection based on a hybrid deep learning model

    Li, Linchao / Lin, Yi / Du, Bowen et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning

    Real-time optimal trajectory planning for autonomous vehicles and lap time simulation using machine learning

    Freier Zugriff
    Garlick, S. / Bradley, A. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning