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81–100 von 1,032 Ergebnissen
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    Prediction of ionospheric total electron content data using spatio-temporal residual network

    Shenvi, Nayana / Chandrasekhar, E. / Kumar, Anurag et al. | Elsevier | 2023
    Schlagwörter: Machine learning , Deep learning

    A Two-stage Learning-based method for Large-scale On-demand pickup and delivery services with soft time windows

    Zhang, Ke / Li, Meng / Wang, Jiguang et al. | Elsevier | 2023
    Schlagwörter: Deep Reinforcement Learning , Transfer Learning

    Modeling train operation as sequences: A study of delay prediction with operation and weather data

    Huang, Ping / Wen, Chao / Fu, Liping et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    An ensemble prediction model for train delays

    Nair, Rahul / Hoang, Thanh Lam / Laumanns, Marco et al. | Elsevier | 2019
    Schlagwörter: Machine 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

    Optimal passenger-seeking policies on E-hailing platforms using Markov decision process and imitation learning

    Shou, Zhenyu / Di, Xuan / Ye, Jieping et al. | Elsevier | 2019
    Schlagwörter: Imitation learning

    Intelligent vehicle pedestrian light (IVPL): A deep reinforcement learning approach for traffic signal control

    Yazdani, Mobin / Sarvi, Majid / Asadi Bagloee, Saeed et al. | Elsevier | 2022
    Schlagwörter: Reinforcement learning , Deep learning

    Keep it simple stupid! A non-parametric kernel regression approach to forecast travel speeds

    Nair, Rahul / Dekusar, Anton | 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

    Deep neural networks for choice analysis: Extracting complete economic information for interpretation

    Wang, Shenhao / Wang, Qingyi / Zhao, Jinhua | Elsevier | 2020
    Schlagwörter: Machine learning

    Network–wide prediction of public transportation ridership using spatio–temporal link–level information

    Karnberger, Stephan / Antoniou, Constantinos | Elsevier | 2019
    Schlagwörter: Machine learning

    Inferring heterogeneous treatment effects of crashes on highway traffic: A doubly robust causal machine learning approach

    Li, Shuang / Pu, Ziyuan / Cui, Zhiyong et al. | Elsevier | 2024
    Schlagwörter: Causal machine learning , Doubly robust learning

    Applications of deep learning in congestion detection, prediction and alleviation: A survey

    Kumar, Nishant / Raubal, Martin | Elsevier | 2021
    Schlagwörter: Deep learning

    Machine learning approach to ship fuel consumption: A case of container vessel

    Uyanık, Tayfun / Karatuğ, Çağlar / Arslanoğlu, Yasin | Elsevier | 2020
    Schlagwörter: Machine learning

    Applying machine learning and google street view to explore effects of drivers’ visual environment on traffic safety

    Cai, Qing / Abdel-Aty, Mohamed / Zheng, Ou et al. | Elsevier | 2021
    Schlagwörter: Deep learning , Explainable machine learning

    2D-supervised fast neural fluid reconstruction technique for time-resolved volumetric flame reconstruction

    Zhang, Fuhao / Zhang, Weixuan / Gong, Shuicheng et al. | Elsevier | 2023
    Schlagwörter: Deep learning , Transfer learning

    Sequence to sequence learning with attention mechanism for short-term passenger flow prediction in large-scale metro system

    Hao, Siyu / Lee, Der-Horng / Zhao, De | Elsevier | 2019
    Schlagwörter: Deep learning

    Adaptive generalized ZEM-ZEV feedback guidance for planetary landing via a deep reinforcement learning approach

    Furfaro, Roberto / Scorsoglio, Andrea / Linares, Richard et al. | Elsevier | 2020
    Schlagwörter: Deep reinfocement learning

    Scalable reinforcement learning approaches for dynamic pricing in ride-hailing systems

    Lei, Zengxiang / Ukkusuri, Satish V. | Elsevier | 2023
    Schlagwörter: Reinforcement learning

    Sunspot cycle prediction using Warped Gaussian process regression

    Gonçalves, Ítalo G. / Echer, Ezequiel / Frigo, Everton | Elsevier | 2019
    Schlagwörter: Machine learning