Synonyme wurden verwendet für: Maschinelles Lernen
Suche ohne Synonyme: keywords:("Maschinelles Lernen")

21–40 von 82 Ergebnissen
|

    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

    Review on big data applications in safety research of intelligent transportation systems and connected/automated vehicles

    Lian, Yanqi / Zhang, Guoqing / Lee, Jaeyoung et al. | Elsevier | 2020
    Schlagwörter: Machine learning

    Injury risk assessment based on pre-crash variables: The role of closing velocity and impact eccentricity

    Gulino, Michelangelo-Santo / Gangi, Leonardo Di / Sortino, Alessio et al. | Elsevier | 2020
    Schlagwörter: Machine learning

    Feasibility and analysis of CNN-based candidate beam generation for robotic radiosurgery

    Freier Zugriff
    Gerlach, Stefan / Fürweger, Christoph / Hofmann, Theresa et al. | BASE | 2020
    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 literature review of machine learning algorithms for crash injury severity prediction

    Santos, Kenny / Dias, João P. / Amado, Conceição | 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)

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

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

    Physiological signal-based drowsiness detection using machine learning: Singular and hybrid signal approaches

    Hasan, Md Mahmudul / Watling, Christopher N. / Larue, Grégoire S. | Elsevier | 2021
    Schlagwörter: 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

    Deriving a joint risk estimate from dynamic data collected at motorcycle rides

    Hula, Andreas / Fürnsinn, Florian / Schwieger, Klemens et al. | Elsevier | 2021
    Schlagwörter: Machine learning

    Applying machine learning, text mining, and spatial analysis techniques to develop a highway-railroad grade crossing consolidation model

    Soleimani, Samira / Leitner, Michael / Codjoe, Julius | Elsevier | 2021
    Schlagwörter: Machine learning

    Railroad accident analysis using extreme gradient boosting

    Bridgelall, Raj / Tolliver, Denver D. | Elsevier | 2021
    Schlagwörter: Machine learning

    Vulnerable road users’ crash hotspot identification on multi-lane arterial roads using estimated exposure and considering context classification

    Mahmoud, Nada / Abdel-Aty, Mohamed / Cai, Qing et al. | Elsevier | 2021
    Schlagwörter: Machine learning