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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

    WARA-PS: a research arena for public safety demonstrations and autonomous collaborative rescue robotics experimentation

    Freier Zugriff
    Andersson, Olov / Doherty, Patrick / Lager, Mårten et al. | Springer Verlag | 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

    UUV teams, control from a biological perspective

    McDowell, P. / Chen, J. / Bourgeois, B. | Tema Archiv | 2002
    Schlagwörter: maschinelles Lernen

    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 traffic control based on learning agents

    Gregoire, P.L. / Desjardins, C. / Laumonier, J. et al. | Tema Archiv | 2007
    Schlagwörter: maschinelles Lernen

    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

    Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach

    Greggio, Nicola / Bernardino, Alexandre / Santos-Victor, José | Springer Verlag | 2011
    Schlagwörter: Machine learning

    Uncovering the identity of Electronic Markets research through text mining techniques

    Freier Zugriff
    Nahr, Nora / Heikkilä, Marikka | Online Contents | 2022
    Schlagwörter: Unsupervised machine learning

    Unconstrained licence plate and text localization and recognition

    Matas, J. / Zimmermann, K. | Tema Archiv | 2005
    Schlagwörter: maschinelles Lernen

    TUDOR tip position control with Neural Networks

    Experiment/Model Test
    Malzahn, Jörn / Phung, Anh Son / Hoffmann, Frank et al. | TIB AV-Portal | 2011
    Schlagwörter: machine learning

    Trusted Autonomy: Autonomy and Autonomous Systems at NASA LaRC's Autonomy Incubator

    B. D. Allen | NTIS | 2016
    Schlagwörter: Machine learning

    Trajectory-level fog detection based on in-vehicle video camera with TensorFlow deep learning utilizing SHRP2 naturalistic driving data

    Khan, Md Nasim / Ahmed, Mohamed M. | Elsevier | 2020
    Schlagwörter: Machine Learning

    Traffic conflict assessment using macroscopic traffic flow variables: A novel framework for real-time applications

    Gore, Ninad / Chauhan, Ritvik / Easa, Said et al. | Elsevier | 2023
    Schlagwörter: Machine learning models

    Traffic campaigns and overconfidence: An experimental approach

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

    Tracking and Characterization of Resident Space Objects (RSO) Using COTS Star Trackers

    D. Watts / P. Harrison | NTIS | 2020
    Schlagwörter: Machine learning

    Towards safer streets: A framework for unveiling pedestrians’ perceived road safety using street view imagery

    Hamim, Omar Faruqe / Ukkusuri, Satish V. | Elsevier | 2023
    Schlagwörter: Machine learning

    Towards an Accident Severity Prediction System with Logistic Regression

    Mensouri, Houssam / Azmani, Abdellah / Azmani, Monir | Springer Verlag | 2023
    Schlagwörter: Machine learning

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