Synonyme wurden verwendet für: learning
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121–140 von 1,032 Ergebnissen
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    Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach

    Ke, Jintao / Zheng, Hongyu / Yang, Hai et al. | Elsevier | 2017
    Schlagwörter: Deep learning (DL)

    Integrated guidance for Mars entry and powered descent using reinforcement learning and pseudospectral method

    Jiang, Xiuqiang / Li, Shuang / Furfaro, Roberto | Elsevier | 2018
    Schlagwörter: Reinforcement learning

    Quantification of model uncertainty in RANS simulations: A review

    Xiao, Heng / Cinnella, Paola | Elsevier | 2018
    Schlagwörter: Machine learning

    Classifying the traffic state of urban expressways: A machine-learning approach

    Cheng, Zeyang / Wang, Wei / Lu, Jian et al. | Elsevier | 2018
    Schlagwörter: Machine-learning

    Connected population synthesis for transportation simulation

    Zhang, Danqing / Cao, Junyu / Feygin, Sid et al. | Elsevier | 2018
    Schlagwörter: Structural learning

    Highway crash detection and risk estimation using deep learning

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

    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

    A novel method for predicting and mapping the occurrence of sun glare using Google Street View

    Li, Xiaojiang / Cai, Bill Yang / Qiu, Waishan et al. | Elsevier | 2019
    Schlagwörter: Deep 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

    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

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

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

    An ensemble prediction model for train delays

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

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

    Nair, Rahul / Dekusar, Anton | Elsevier | 2019
    Schlagwörter: Machine learning

    Automated vehicle’s behavior decision making using deep reinforcement learning and high-fidelity simulation environment

    Ye, Yingjun / Zhang, Xiaohui / Sun, Jian | Elsevier | 2019
    Schlagwörter: Deep 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

    Sunspot cycle prediction using Warped Gaussian process regression

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

    DeepTrend 2.0: A light-weighted multi-scale traffic prediction model using detrending

    Dai, Xingyuan / Fu, Rui / Zhao, Enmin et al. | Elsevier | 2019
    Schlagwörter: Deep learning

    Learning and managing stochastic network traffic dynamics with an aggregate traffic representation

    Liu, Wei / Szeto, Wai Yuen | Elsevier | 2019
    Schlagwörter: Learning

    Integrated deep learning and stochastic car-following model for traffic dynamics on multi-lane freeways

    Lee, Seunghyeon / Ngoduy, Dong / Keyvan-Ekbatani, Mehdi | Elsevier | 2019
    Schlagwörter: Deep learning