Synonyme wurden verwendet für: Maschinelles Lernen
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1–20 von 82 Ergebnissen
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    Analyzing angle crashes at unsignalized intersections using machine learning techniques

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

    Computer vision and driver distraction: Developing a behaviour-flagging protocol for naturalistic driving data

    Kuo, Jonny / Koppel, Sjaan / Charlton, Judith L. et al. | Elsevier | 2014
    Schlagwörter: Machine learning

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

    Vallmuur, Kirsten | Elsevier | 2015
    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

    Red-light running violation prediction using observational and simulator data

    Jahangiri, Arash / Rakha, Hesham / Dingus, Thomas A. | Elsevier | 2016
    Schlagwörter: Machine learning

    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

    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

    Real-time accident detection: Coping with imbalanced data

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

    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

    Applying machine learning approaches to analyze the vulnerable road-users' crashes at statewide traffic analysis zones

    Rahman, Md Sharikur / Abdel-Aty, Mohamed / Hasan, Samiul et al. | Elsevier | 2019
    Schlagwörter: Machine learning

    Young driver fatal motorcycle accident analysis by jointly maximizing accuracy and information

    Halbersberg, Dan / Lerner, Boaz | 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

    Traffic campaigns and overconfidence: An experimental approach

    Silva, Thiago Christiano / Laiz, Marcela T. / Tabak, Benjamin Miranda | Elsevier | 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

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

    Lin, Yunduan / Li, Ruimin | Elsevier | 2020
    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

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

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