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keywords:("Deep Learning")

    Applying deep learning models to twitter data to detect airport service quality

    Barakat, H. / Yeniterzi, R. / Martín-Domingo, L. | Elsevier | 2020
    Schlagwörter: Deep 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

    A quantile-regression physics-informed deep learning for car-following model

    Liu, Jiaxin / Jiang, Rui / Zhao, Jiandong et al. | Elsevier | 2023
    Schlagwörter: Physics-informed deep learning (PIDL)

    A sequence to sequence learning based car-following model for multi-step predictions considering reaction delay

    Ma, Lijing / Qu, Shiru | Elsevier | 2020
    Schlagwörter: Deep learning

    A shock wave diagram based deep learning model for early alerting an upcoming public event

    Yang, Hanyi / Du, Lili / Mohammadi, Jamshid | Elsevier | 2020
    Schlagwörter: Deep learning

    A Smart Predict-then-Optimize method for dynamic green bike relocation in the free-floating system

    Chang, Ximing / Wu, Jianjun / Sun, Huijun et al. | Elsevier | 2023
    Schlagwörter: Deep learning

    A spatial–temporal graph-based AI model for truck loan default prediction using large-scale GPS trajectory data

    Chen, Liao / Ma, Shoufeng / Li, Changlin et al. | Elsevier | 2024
    Schlagwörter: Deep learning

    A spatiotemporal deep learning approach for pedestrian crash risk prediction based on POI trip characteristics and pedestrian exposure intensity

    Guo, Manze / Janson, Bruce / Peng, Yongxin | Elsevier | 2024
    Schlagwörter: Deep learning

    Assessing bikeability with street view imagery and computer vision

    Ito, Koichi / Biljecki, Filip | Elsevier | 2021
    Schlagwörter: Deep learning

    AstroVision: Towards autonomous feature detection and description for missions to small bodies using deep learning

    Driver, Travis / Skinner, Katherine A. / Dor, Mehregan et al. | Elsevier | 2023
    Schlagwörter: Deep learning

    A survey on deep learning-based monocular spacecraft pose estimation: Current state, limitations and prospects

    Pauly, Leo / Rharbaoui, Wassim / Shneider, Carl et al. | Elsevier | 2023
    Schlagwörter: Deep learning

    A Traffic Flow Dependency and Dynamics based Deep Learning Aided Approach for Network-Wide Traffic Speed Propagation Prediction

    Yang, Hanyi / Du, Lili / Zhang, Guohui et al. | Elsevier | 2022
    Schlagwörter: Deep Learning

    A two-layer integrated model for cyclist trajectory prediction considering multiple interactions with the environment

    Li, Jianqiang / Ni, Ying / Sun, Jian | Elsevier | 2023
    Schlagwörter: Deep learning

    Automatic detection for small-scale lunar impact crater using deep learning

    Zhang, Shuowei / Zhang, Peng / Yang, Juntao et al. | Elsevier | 2023
    Schlagwörter: Deep learning

    Autonomous anomaly detection on traffic flow time series with reinforcement learning

    He, Dan / Kim, Jiwon / Shi, Hua et al. | Elsevier | 2023
    Schlagwörter: Deep learning

    Benchmarking deep learning approaches for all-vs-all conjunction screening

    Stevenson, Emma / Rodriguez-Fernandez, Victor / Urrutxua, Hodei et al. | Elsevier | 2023
    Schlagwörter: Deep learning

    Can we trust our eyes? Interpreting the misperception of road safety from street view images and deep learning

    Yu, Xujing / Ma, Jun / Tang, Yihong et al. | Elsevier | 2023
    Schlagwörter: Deep learning

    Context-aware multi-head self-attentional neural network model for next location prediction

    Hong, Ye / Zhang, Yatao / Schindler, Konrad et al. | Elsevier | 2023
    Schlagwörter: Deep learning

    Convolutional neural network based combustion mode classification for condition monitoring in the supersonic combustor

    Zhu, Xiaobin / Cai, Zun / Wu, Jianjun et al. | Elsevier | 2019
    Schlagwörter: Deep Learning

    Coupled application of generative adversarial networks and conventional neural networks for travel mode detection using GPS data

    Li, Linchao / Zhu, Jiasong / Zhang, Hailong et al. | Elsevier | 2020
    Schlagwörter: Deep learning

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