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1–20 von 62 Ergebnissen
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    Integrated driver modelling considering state transition feature for individual adaptation of driver assistance systems

    Raksincharoensak, Pongsathorn / Khaisongkram, Wathanyoo / Nagai, Masao et al. | Taylor & Francis Verlag | 2010
    Schlagwörter: statistical machine learning

    Big data and artificial intelligence in the maritime industry: a bibliometric review and future research directions

    Freier Zugriff
    Munim, Ziaul Haque / Dushenko, Mariia / Jimenez, Veronica Jaramillo et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: machine learning

    Predicting incident duration using random forests

    Hamad, Khaled / Al-Ruzouq, Rami / Zeiada, Waleed et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: machine learning

    Identifying traffic conditions from non-traffic related sources

    Chamby-Diaz, Jorge C. / Estevam, Rhuam Sena / Bazzan, Ana L. C. | Taylor & Francis Verlag | 2020
    Schlagwörter: machine learning

    A machine learning-based method for simulation of ship speed profile in a complex ice field

    Freier Zugriff
    Milaković, Aleksandar-Saša / Li, Fang / Marouf, Mohamed et al. | Taylor & Francis Verlag | 2020
    Schlagwörter: machine learning

    A data-driven approach to characterize the impact of connected and autonomous vehicles on traffic flow

    Parsa, Amir Bahador / Shabanpour, Ramin / Mohammadian, Abolfazl (Kouros) et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Application of machine learning algorithms in lane-changing model for intelligent vehicles exiting to off-ramp

    Dong, Changyin / Wang, Hao / Li, Ye et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Calibrating microscopic traffic simulators using machine learning and particle swarm optimization

    Liu, Yanchen / Zou, Bo / Ni, Anning et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

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

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

    Incorporating congestion patterns into spatio-temporal deep learning algorithms

    Leiser, Neil / Yildirimoglu, Mehmet | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Designing a lightweight 1D convolutional neural network with Bayesian optimization for wheel flat detection using carbody accelerations

    Shi, Dachuan / Ye, Yunguang / Gillwald, Marco et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Discovering vehicle usage patterns on the basis of daily mobility profiles derived from floating car data

    Sun, Danyang / Leurent, Fabien / Xie, Xiaoyan | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Modeling freight mode choice using machine learning classifiers: a comparative study using Commodity Flow Survey (CFS) data

    Uddin, Majbah / Anowar, Sabreena / Eluru, Naveen | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Predicting the traction power of metropolitan railway lines using different machine learning models

    Pineda-Jaramillo, J. / Martínez-Fernández, P. / Villalba-Sanchis, I. et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: Machine Learning

    Driver’s black box: a system for driver risk assessment using machine learning and fuzzy logic

    Yuksel, A. S. / Atmaca, S. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Multilevel weather detection based on images: a machine learning approach with histogram of oriented gradient and local binary pattern-based features

    Khan, Md Nasim / Das, Anik / Ahmed, Mohamed M. et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine 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

    Applications of machine learning methods in traffic crash severity modelling: current status and future directions

    Wen, Xiao / Xie, Yuanchang / Jiang, Liming et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Analyzing travel behavior in Hanoi using Support Vector Machine

    Truong, Thi My Thanh / Ly, Hai-Bang / Lee, Dongwoo et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: Machine Learning