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31–40 of 143 hits
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    Real-time accident detection: Coping with imbalanced data

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

    Modeling of aircraft fuel consumption using machine learning algorithms

    Baumann, S. / Klingauf, U. | Springer Verlag | 2020
    Keywords: Machine learning

      Modeling of aircraft fuel consumption using machine learning algorithms

      Baumann, S. / Klingauf, U. | Online Contents | 2019
      Keywords: Machine learning

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

    Halbersberg, Dan / Lerner, Boaz | Elsevier | 2019
    Keywords: Machine learning

    Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties

    Free access
    Da Ronch, Andrea / Panzeri, Marco / Drofelnik, Jernej et al. | Springer Verlag | 2020
    Keywords: Machine-learning

      Sensitivity and calibration of turbulence model in the presence of epistemic uncertainties

      Da Ronch, Andrea / Panzeri, Marco / Drofelnik, Jernej et al. | Online Contents | 2019
      Keywords: Machine-learning

    Modeling and predicting vehicle accident occurrence in Chattanooga, Tennessee

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

    Traffic campaigns and overconfidence: An experimental approach

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

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

    Free access
    Tan, Gangping / Chen, Qingshuang / Li, Changyin et al. | BASE | 2020
    Keywords: machine learning