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    Convolutional neural network for detecting railway fastener defects using a developed 3D laser system

    Zhan, You / Dai, Xianxing / Yang, Enhui et al. | Taylor & Francis Verlag | 2021
    Keywords: deep 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
    Keywords: reinforcement 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
    Keywords: 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
    Keywords: 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
    Keywords: machine learning

    Graph attention temporal convolutional network for traffic speed forecasting on road networks

    Zhang, Ke / He, Fang / Zhang, Zhengchao et al. | Taylor & Francis Verlag | 2021
    Keywords: deep 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
    Keywords: machine learning

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

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

    Incorporating congestion patterns into spatio-temporal deep learning algorithms

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

    Cruise dynamic pricing based on SARSA algorithm

    Wang, Jing / Yang, Dong / Chen, Kaimin et al. | Taylor & Francis Verlag | 2021
    Keywords: reinforcement 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
    Keywords: machine learning

    Deep Architecture for Citywide Travel Time Estimation Incorporating Contextual Information

    Tang, Kun / Chen, Shuyan / Khattak, Aemal J. et al. | Taylor & Francis Verlag | 2021
    Keywords: deep learning

    Characterizing parking systems from sensor data through a data-driven approach

    Arjona Martinez, Jamie / Linares, Maria Paz / Casanovas, Josep | Taylor & Francis Verlag | 2021
    Keywords: deep 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
    Keywords: machine learning

    Predictive modelling of injury severity in bicycle–motor vehicle collisions utilizing learning vector quantization: a case study of Britain’s cycling capital

    Siamidoudaran, Meisam / Siamidodaran, Mehdi / Iscioglu, Ersun | Taylor & Francis Verlag | 2021
    Keywords: learning vector quantization

    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
    Keywords: 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
    Keywords: 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
    Keywords: 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
    Keywords: 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
    Keywords: machine Learning

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