1–20 von 99 Ergebnissen
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    Machine learning algorithms in ship design optimization

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

    An automatic methodology to measure drivers’ behavior in public transport

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

    Crash classification based on manner of collision: a comparative analysis

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

    Small-amplitude bogie hunting identification method for high-speed trains based on machine learning

    Guo, Jinying / Zhang, Gexiang / Shi, Huailong et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Friction-adaptive stochastic nonlinear model predictive control for autonomous vehicles

    Vaskov, Sean / Quirynen, Rien / Menner, Marcel et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    A machine learning based optimisation method to evaluate the crushing behaviours of square tubes with rectangular-hole-type initiators

    Liang, Rui / Xu, Fengxiang / Liu, Na et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: Machine learning

    In-store shopping trip predictions and impact factors during COVID-19 emergencies

    Imran, Md Ashraful / Hyun, Kate | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Analyzing multi-factor effects on travel well-being, including non-linear relationship and interaction

    Yu, Hongmei / Ye, Xiaofei / Liu, Lining et al. | Taylor & Francis Verlag | 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: machine learning

    Research on the air brake system of heavy haul trains based on neural network

    Zhou, Xinyi / Cheng, Shu / Yu, Tianjian et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    A novel algorithm for ship characteristic points extraction based on density clustering

    Li, Weifeng / Zhang, Haoda / Shi, Guoyou et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Leveraging machine learning to predict rail corrugation level from axle-box acceleration measurements on commercial vehicles

    Hassanieh, Wael / Chehade, Abdallah / Facchinetti, Alan et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    A data-driven method for flight time estimation based on air traffic pattern identification and prediction

    Yang, Chunwei / Zhang, Junfeng / Gui, Xuhao et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Comparative study of statistical and machine learning methods for streetcar incident duration analysis

    Zhu, Siying | Taylor & Francis Verlag | 2024
    Schlagwörter: statistical and machine learning methods

    A residential location search model based on the reasons for moving out

    Orvin, Muntahith Mehadil / Fatmi, Mahmudur Rahman | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Machine learning based real-time prediction of freeway crash risk using crowdsourced probe vehicle data

    Zhang, Zihe / Nie, Qifan / Liu, Jun et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning

    Application of Macro Element Method (MEM) for faster automotive crash safety design during concept stage

    Narayana, Peddi Sai Rama / Prakash, Raghu V. / Gunti, Srinivas et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: machine learning