Synonyme wurden verwendet für: Machine learning
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1–20 von 82 Ergebnissen
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    A Bayesian deep learning method for freeway incident detection with uncertainty quantification

    Liu, Genwang / Jin, Haolin / Li, Jiaze et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    A comparative study of machine learning classifiers for injury severity prediction of crashes involving three-wheeled motorized rickshaw

    Ijaz, Muhammad / lan, Liu / Zahid, Muhammad et al. | Elsevier | 2021
    Schlagwörter: Machine learning (ML)

    A Comprehensive Railroad-Highway Grade Crossing Consolidation Model: A Machine Learning Approach

    Soleimani, Samira / Mousa, Saleh R. / Codjoe, Julius et al. | Elsevier | 2019
    Schlagwörter: Machine Learning

    A conflict-based approach for real-time road safety analysis: Comparative evaluation with crash-based models

    Orsini, Federico / Gecchele, Gregorio / Rossi, Riccardo et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    A crash severity analysis at highway-rail grade crossings: The random survival forest method

    Keramati, Amin / Lu, Pan / Iranitalab, Amirfarrokh et al. | Elsevier | 2020
    Schlagwörter: Machine learning

    A data-centric weak supervised learning for highway traffic incident detection

    Sun, Yixuan / Mallick, Tanwi / Balaprakash, Prasanna et al. | Elsevier | 2022
    Schlagwörter: Data-centric machine learning

    A data-driven, kinematic feature-based, near real-time algorithm for injury severity prediction of vehicle occupants

    Wang, Qingfan / Gan, Shun / Chen, Wentao et al. | Elsevier | 2021
    Schlagwörter: Machine-learning algorithms

    Advances, challenges, and future research needs in machine learning-based crash prediction models: A systematic review

    Ali, Yasir / Hussain, Fizza / Haque, Md Mazharul | Elsevier | 2023
    Schlagwörter: Machine learning

    A hybrid machine learning model for predicting Real-Time secondary crash likelihood

    Li, Pei / Abdel-Aty, Mohamed | Elsevier | 2021
    Schlagwörter: Machine learning

    A literature review of machine learning algorithms for crash injury severity prediction

    Santos, Kenny / Dias, João P. / Amado, Conceição | Elsevier | 2021
    Schlagwörter: Machine learning

    A machine learning model for predicting noise limits of motor vehicles in UNECE R51 regulations

    Freier Zugriff
    Tan, Gangping / Chen, Qingshuang / Li, Changyin et al. | BASE | 2020
    Schlagwörter: machine learning

    Analysis of mobile phone use engagement during naturalistic driving through explainable imbalanced machine learning

    Ziakopoulos, Apostolos / Kontaxi, Armira / Yannis, George | Elsevier | 2022
    Schlagwörter: Explainable machine learning

    Analyzing angle crashes at unsignalized intersections using machine learning techniques

    Abdel-Aty, Mohamed / Haleem, Kirolos | Elsevier | 2010
    Schlagwörter: Machine learning

    Analyzing the injury severity in single-bicycle crashes: An application of the ordered forest with some practical guidance

    Zhang, Yingheng / Li, Haojie / Ren, Gang | Elsevier | 2023
    Schlagwörter: Machine learning

    An integrated approach of machine learning and Bayesian spatial Poisson model for large-scale real-time traffic conflict prediction

    Li, Dongya / Fu, Chuanyun / Sayed, Tarek et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    An integrated data- and theory-driven crash severity model

    Liu, Dongjie / Li, Dawei / Sze, N.N. et al. | Elsevier | 2023
    Schlagwörter: Interpretable machine learning

    An integrated methodology for real-time driving risk status prediction using naturalistic driving data

    Shangguan, Qiangqiang / Fu, Ting / Wang, Junhua et al. | Elsevier | 2021
    Schlagwörter: Machine learning algorithms

    An interpretable clustering approach to safety climate analysis: Examining driver group distinctions

    Sun, Kailai / Lan, Tianxiang / Goh, Yang Miang et al. | Elsevier | 2023
    Schlagwörter: Interpretable machine learning