Synonyme wurden verwendet für: Learning
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1–20 von 162 Ergebnissen
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    Multi-Objective reinforcement learning approach for improving safety at intersections with adaptive traffic signal control

    Gong, Yaobang / Abdel-Aty, Mohamed / Yuan, Jinghui et al. | Elsevier | 2020
    Schlagwörter: Multi-objective reinforcement learning , Deep learning

    Characterizing accident narratives with word embeddings: Improving accuracy, richness, and generalizability

    Goldberg, David M. | Elsevier | 2021
    Schlagwörter: Machine learning , Transfer learning

    A deep learning based traffic crash severity prediction framework

    Rahim, Md Adilur / Hassan, Hany M. | Elsevier | 2021
    Schlagwörter: Deep learning , Transfer learning

    A feature learning approach based on XGBoost for driving assessment and risk prediction

    Shi, Xiupeng / Wong, Yiik Diew / Li, Michael Zhi-Feng et al. | Elsevier | 2019
    Schlagwörter: Feature learning

    Developing and testing a hazard prediction task for novice drivers: A novel application of naturalistic driving videos

    Ehsani, Johnathon P. / Seymour, Karen E. / Chirles, Theresa et al. | Elsevier | 2020
    Schlagwörter: Learning

    Highway crash detection and risk estimation using deep learning

    Huang, Tingting / Wang, Shuo / Sharma, Anuj | Elsevier | 2019
    Schlagwörter: Deep learning

    Toward safer highways, application of XGBoost and SHAP for real-time accident detection and feature analysis

    Parsa, Amir Bahador / Movahedi, Ali / Taghipour, Homa et al. | Elsevier | 2019
    Schlagwörter: Machine learning

    Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning

    Cui, Pengfei / Yang, Xiaobao / Abdel-Aty, Mohamed et al. | Elsevier | 2024
    Schlagwörter: Hypergraph Learning , Self-Supervised Learning

    A Bayesian deep learning method for freeway incident detection with uncertainty quantification

    Liu, Genwang / Jin, Haolin / Li, Jiaze et al. | Elsevier | 2022
    Schlagwörter: Bayesian deep learning , Machine learning

    A deep learning approach for real-time crash prediction using vehicle-by-vehicle data

    Basso, Franco / Pezoa, Raúl / Varas, Mauricio et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    A task-level emergency experience reuse method for freeway accidents onsite disposal with policy distilled reinforcement learning

    Yan, Longhao / Wang, Ping / Qi, Fan et al. | Elsevier | 2023
    Schlagwörter: Transfer learning , Multi-agent reinforcement learning

    Modeling and predicting vehicle accident occurrence in Chattanooga, Tennessee

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

    Short-term prediction of safety and operation impacts of lane changes in oscillations with empirical vehicle trajectories

    Li, Meng / Li, Zhibin / Xu, Chengcheng et al. | Elsevier | 2019
    Schlagwörter: Machine learning

    Traffic campaigns and overconfidence: An experimental approach

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

    Safer tomorrow: Irish dairy farmers’ self-perception of their farm safety practices

    O'Connor, Tracey / Kinsella, Jim / O'Hora, Denis et al. | Elsevier | 2022
    Schlagwörter: Social learning

    Computer-based training for safety: Comparing methods with older and younger workers

    Wallen, Erik S. / Mulloy, Karen B. | Elsevier | 2006
    Schlagwörter: Computer-based learning , Adult learning

    Factors impacting bike crash severity in urban areas

    Dash, Ishita / Abkowitz, Mark / Philip, Craig | Elsevier | 2022
    Schlagwörter: Machine learning

    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

    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