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    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
    Keywords: Deep learning , machine learning

    Machine learning algorithms in ship design optimization

    Peri, Daniele | Taylor & Francis Verlag | 2024
    Keywords: machine learning

    Modeling the impact of COVID-19 on transportation at later stage of the pandemic: A case study of Utah

    Gong, Yaobang / Isom, Tanner / Lu, Pan et al. | Taylor & Francis Verlag | 2024
    Keywords: machine learning

    Understanding e-bicycle overtaking strategy: insights from inverse reinforcement learning modelling

    Yue, Lishengsa / Abdel-Aty, Mohamed / Zaki, Mohamed H. et al. | Taylor & Francis Verlag | 2024
    Keywords: inverse reinforcement learning

    A robust machine learning structure for driving events recognition using smartphone motion sensors

    Zarei Yazd, Mahdi / Taheri Sarteshnizi, Iman / Samimi, Amir et al. | Taylor & Francis Verlag | 2024
    Keywords: machine learning

    Sensitivity analysis of driving event classification using smartphone motion data: case of classifier type, sensor bundling, and data acquisition rate

    Sarteshnizi, Iman Taheri / Tavakkoli Khomeini, Farbod / Khedri, Borna et al. | Taylor & Francis Verlag | 2024
    Keywords: machine learning

    Traffic congestion forecasting using multilayered deep neural network

    Kumar, Kranti / Kumar, Manoj / Das, Pritikana | Taylor & Francis Verlag | 2024
    Keywords: Deep learning

    STD-Yolov5: a ship-type detection model based on improved Yolov5

    Ning, Yue / Zhao, Lining / Zhang, Can et al. | Taylor & Francis Verlag | 2024
    Keywords: deep learning

    An automatic methodology to measure drivers’ behavior in public transport

    Catalán, Hernán / Lobel, Hans / Herrera, Juan Carlos | Taylor & Francis Verlag | 2024
    Keywords: machine learning

    Crash classification based on manner of collision: a comparative analysis

    Mahmud, Asif / Sengupta, Agnimitra / Gayah, Vikash V. | Taylor & Francis Verlag | 2024
    Keywords: machine learning

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