Synonyme wurden verwendet für: Machine Learning
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1–20 von 82 Ergebnissen
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    Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis

    Parsa, Amir Bahador / Movahedi, Ali / Taghipour, Homa et al. | Elsevier | 2019
    Schlagwörter: Machine learning

    Modeling and predicting vehicle accident occurrence in Chattanooga, Tennessee

    Roland, Jeremiah / Way, Peter D. / Firat, Connor et al. | Elsevier | 2020
    Schlagwörter: Machine learning

    Short-term prediction of safety and operation impacts of lane changes in oscillations with empirical vehicle trajectories

    Li, Meng / Li, Zhibin / Xu, Chengcheng et al. | Elsevier | 2019
    Schlagwörter: Machine learning

    Traffic campaigns and overconfidence: An experimental approach

    Silva, Thiago Christiano / Laiz, Marcela T. / Tabak, Benjamin Miranda | Elsevier | 2020
    Schlagwörter: Machine learning

    Factors impacting bike crash severity in urban areas

    Dash, Ishita / Abkowitz, Mark / Philip, Craig | Elsevier | 2022
    Schlagwörter: Machine learning

    Quantifying and comparing the effects of key risk factors on various types of roadway segment crashes with LightGBM and SHAP

    Wen, Xiao / Xie, Yuanchang / Wu, Lingtao et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Speed violation analysis of heavy vehicles on highways using spatial analysis and machine learning algorithms

    Kuşkapan, Emre / Çodur, M. Yasin / Atalay, Ahmet | Elsevier | 2021
    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 literature review of machine learning algorithms for crash injury severity prediction

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

    Real-time traffic accidents post-impact prediction: Based on crowdsourcing data

    Lin, Yunduan / Li, Ruimin | Elsevier | 2020
    Schlagwörter: Machine learning

    Workers’ compensation claim counts and rates by injury event/exposure among state-insured private employers in Ohio, 2007–2017

    Wurzelbacher, Steven J. / Meyers, Alysha R. / Lampl, Michael P. et al. | 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

    The use of machine learning improves the assessment of drug-induced driving behaviour

    van der Wall, H.E.C. / Doll, R.J. / van Westen, G.J.P. et al. | Elsevier | 2020
    Schlagwörter: Machine learning

    Classifying injury narratives of large administrative databases for surveillance—A practical approach combining machine learning ensembles and human review

    Marucci-Wellman, Helen R. / Corns, Helen L. / Lehto, Mark R. | Elsevier | 2016
    Schlagwörter: Machine learning

    Machine learning approaches to analysing textual injury surveillance data: A systematic review

    Vallmuur, Kirsten | Elsevier | 2015
    Schlagwörter: Machine learning

    Sensitivity and specificity of the driver sleepiness detection methods using physiological signals: A systematic review

    Watling, Christopher N. / Mahmudul Hasan, Md / Larue, Grégoire S. | Elsevier | 2020
    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

    The novel approaches to classify cyclist accident injury-severity: Hybrid fuzzy decision mechanisms

    Katanalp, Burak Yiğit / Eren, Ezgi | Elsevier | 2020
    Schlagwörter: Machine learning