Synonyme wurden verwendet für: Maschinelles Lernen
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1–20 von 432 Ergebnissen
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    Young driver fatal motorcycle accident analysis by jointly maximizing accuracy and information

    Halbersberg, Dan / Lerner, Boaz | Elsevier | 2019
    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

    Why do people take e-scooter trips? Insights on temporal and spatial usage patterns of detailed trip data

    Shah, Nitesh R. / Guo, Jing / Han, Lee D. et al. | Elsevier | 2023
    Schlagwörter: Unsupervised machine learning

    What’s eating public transit in the United States? Reasons for declining transit ridership in the 2010s

    Lee, Yongsung / Lee, Bumsoo | Elsevier | 2022
    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

    Vehicular fuel consumption estimation using real-world measures through cascaded machine learning modeling

    Moradi, Ehsan / Miranda-Moreno, Luis | Elsevier | 2020
    Schlagwörter: Machine learning

    Using satellite images of nighttime lights to predict the economic impact of COVID-19 in India

    Dasgupta, Nataraj | Elsevier | 2022
    Schlagwörter: Machine learning

    Using machine learning for direct demand modeling of ridesourcing services in Chicago

    Yan, Xiang / Liu, Xinyu / Zhao, Xilei | Elsevier | 2020
    Schlagwörter: Machine learning

    Using explainable machine learning to understand how urban form shapes sustainable mobility

    Wagner, Felix / Milojevic-Dupont, Nikola / Franken, Lukas et al. | Elsevier | 2022
    Schlagwörter: Explainable machine learning

    Using ensemble machine learning algorithm to predict forest fire occurrence probability in Madhya Pradesh and Chhattisgarh, India

    Surbhi Singh, Sumedha / Jeganathan, C. | Elsevier | 2023
    Schlagwörter: Ensemble machine learning

    Using contextual data to predict risky driving events: A novel methodology from explainable artificial intelligence

    Masello, Leandro / Castignani, German / Sheehan, Barry et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Using a decision tree to compare rural versus highway motorcycle fatalities in Thailand

    Mohamad, Ittirit / Jomnonkwao, Sajjakaj / Ratanavaraha, Vatanavongs | Elsevier | 2022
    Schlagwörter: Machine learning

    Urban activity pattern classification using topic models from online geo-location data

    Hasan, Samiul / Ukkusuri, Satish V. | Elsevier | 2014
    Schlagwörter: Machine learning

    Unveiling the relevance of traffic enforcement cameras on the severity of vehicle–pedestrian collisions in an urban environment with machine learning models

    Pineda-Jaramillo, Juan / Barrera-Jiménez, Humberto / Mesa-Arango, Rodrigo | Elsevier | 2022
    Schlagwörter: Machine learning

    Understanding transit ridership in an equity context through a comparison of statistical and machine learning algorithms

    Yousefzadeh Barri, Elnaz / Farber, Steven / Jahanshahi, Hadi et al. | Elsevier | 2022
    Schlagwörter: Machine learning

    Understanding market competition between transportation network companies using big data

    Huang, Guan / Liang, Yuebing / Zhao, Zhan | Elsevier | 2023
    Schlagwörter: Interpretable machine learning

    Travel impedance, the built environment, and customized-bus ridership: A stop-to-stop level analysis

    Liu, Xiang / Chen, Xiaohong / Potoglou, Dimitris et al. | Elsevier | 2023
    Schlagwörter: Machine learning

    Transportation resilience under Covid-19 Uncertainty: A traffic severity analysis

    Peng, Qiao / Bakkar, Yassine / Wu, Liangpeng et al. | Elsevier | 2023
    Schlagwörter: Explainable machine learning