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21–40 von 160 Ergebnissen
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    Improving seat belt use among teen drivers: Findings from a service-learning approach

    Goldzweig, Irwin A. / Levine, Robert S. / Schlundt, David et al. | Elsevier | 2013
    Schlagwörter: Service-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)

    Real-time crash risk prediction on arterials based on LSTM-CNN

    Li, Pei / Abdel-Aty, Mohamed / Yuan, Jinghui | Elsevier | 2019
    Schlagwörter: Deep 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

    Understand the impact of traffic states on crash risk in the vicinities of Type A weaving segments: A deep learning approach

    Zhao, Jingya / Liu, Pan / Xu, Chengcheng et al. | Elsevier | 2021
    Schlagwörter: Deep learning

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

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

    Detecting motorcycle helmet use with deep learning

    Siebert, Felix Wilhelm / Lin, Hanhe | Elsevier | 2019
    Schlagwörter: Deep 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

    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

    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

    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

    Exploring bias in incident investigations: An empirical examination using construction case studies

    Thallapureddy, Sreeja / Sherratt, Fred / Bhandari, Siddharth et al. | Elsevier | 2023
    Schlagwörter: Learning from Incidents

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

    Vallmuur, Kirsten | Elsevier | 2015
    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

    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

    Enhancing hazard avoidance in teen-novice riders

    Vidotto, Giulio / Bastianelli, Alessia / Spoto, Andrea et al. | Elsevier | 2010
    Schlagwörter: Learning

    The usefulness of artificial intelligence for safety assessment of different transport modes

    Tselentis, Dimitrios I. / Papadimitriou, Eleonora / van Gelder, Pieter | Elsevier | 2023
    Schlagwörter: Machine Learning