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    Application of machine learning models to predict driver left turn destination lane choice behavior at urban intersections

    Freier Zugriff
    Mohammed Moinuddin / Logan Proffer / Matthew Vechione et al. | DOAJ | 2024
    Schlagwörter: Applied Machine Learning

    A state-of-the-art survey of deep learning models for automated pavement crack segmentation

    Freier Zugriff
    Hongren Gong / Liming Liu / Haimei Liang et al. | DOAJ | 2024
    Schlagwörter: Deep learning

    An adaptive agent-based approach for instant delivery order dispatching: Incorporating task buffering and dynamic batching strategies

    Freier Zugriff
    Miaojia Lu / Xinyu Yan / Shadi Sharif Azadeh et al. | DOAJ | 2024
    Schlagwörter: Deep reinforcement learning

    Identification of optimal locations of adaptive traffic signal control using heuristic methods

    Freier Zugriff
    Tanveer Ahmed / Hao Liu / Vikash V. Gayah | DOAJ | 2024
    Schlagwörter: Population based incremental learning

    Unveiling the influential factors for customized bus service reopening from naturalistic observations in Shanghai

    Freier Zugriff
    Yu Shen / Chenlong Xu / Shengchuan Jiang et al. | DOAJ | 2024
    Schlagwörter: Explainable machine learning

    Real-time risk assessment of aircraft landing based on finite element-virtual prototype-machine learning co-simulation on wet runways

    Freier Zugriff
    Xingyi Zhu / Yanan Wu / Yang Yang et al. | DOAJ | 2024
    Schlagwörter: Machine learning

    Autoras inglesas publicadas durante el Franquismo. Jane Austen, Mary Shelley, Charlotte Brontë, George Eliot y Anne Brontë

    Freier Zugriff
    Caterina Riba / Carme Sanmartí | DOAJ | 2024
    Schlagwörter: History of scholarship and learning. The humanities

    Condition assessment of high-speed railway track structure based on sparse Bayesian extreme learning machine and Bayesian hypothesis testing

    Wang, Senrong / Gao, Jingze / Lin, Chao et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: sparse bayesian learning , extreme learning machine

    An interpretable machine learning framework to understand bikeshare demand before and during the COVID-19 pandemic in New York City

    Uddin, Majbah / Hwang, Ho-Ling / Hasnine, Md Sami | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    A survey of the opportunities and challenges of supervised machine learning in maritime risk analysis

    Freier Zugriff
    Rawson, Andrew / Brito, Mario | Taylor & Francis Verlag | 2023
    Schlagwörter: Machine learning

    Development of LSTM-MLR hybrid model for radar detector missing and outlier traffic volume correction

    Kim, Dohoon / Kim, Eungcheol | Taylor & Francis Verlag | 2023
    Schlagwörter: deep-learning

    Using supervised machine learning algorithms in pavement degradation monitoring

    Freier Zugriff
    Amir Shtayat / Sara Moridpour / Berthold Best et al. | DOAJ | 2023
    Schlagwörter: Machine Learning

    Automatic clustering-based approach for train wheels condition monitoring

    Mosleh, Araliya / Meixedo, Andreia / Ribeiro, Diogo et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: Machine learning

    Integrating built environment and parking policy for car commuting reduction: evidence from Beijing

    Wang, Xiaoquan / Yin, Chaoying / Zheng, Changjiang et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning model

    Deep hybrid learning framework for spatiotemporal crash prediction using big traffic data

    Freier Zugriff
    Mohammad Tamim Kashifi / Mohammed Al-Turki / Abdul Wakil Sharify | DOAJ | 2023
    Schlagwörter: Deep Hybrid Learning

    Mode shift behaviour and user willingness to adopt the electric two-wheeler: A study based on Indian road user preferences

    Freier Zugriff
    Manivel Murugan / Sankaran Marisamynathan | DOAJ | 2023
    Schlagwörter: Machine learning

    Representative truck activity patterns from anonymous mobile sensor data

    Freier Zugriff
    Taslima Akter / Sarah Hernandez | DOAJ | 2023
    Schlagwörter: Machine learning

    The impact of the combination equilibrium of horizontal and sag-vertical curves on safety

    Freier Zugriff
    Xiaofei Wang / Siyu Li / Tianjie Shen et al. | DOAJ | 2023
    Schlagwörter: Machine learning

    Revising bus routes to improve access for the transport disadvantaged: A reinforcement learning approach

    Freier Zugriff
    Sunhyung Yoo / Jinwoo (Brian) Lee | DOAJ | 2023
    Schlagwörter: Reinforcement learning

    Risk prediction for cut-ins using multi-driver simulation data and machine learning algorithms: A comparison among decision tree, GBDT and LSTM

    Freier Zugriff
    Tianyang Luo / Junhua Wang / Ting Fu et al. | DOAJ | 2023
    Schlagwörter: Machine learning approach

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