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Synonyme wurden verwendet für: Deep Learning
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    GPS data-based mobility mode inference model using long-term recurrent convolutional networks

    Kim, Jinsoo / Kim, Jae Hun / Lee, Gunwoo | Elsevier | 2021
    Schlagwörter: Deep learning

    Graph to sequence learning with attention mechanism for network-wide multi-step-ahead flight delay prediction

    Bao, Jie / Yang, Zhao / Zeng, Weili | Elsevier | 2021
    Schlagwörter: Deep learning

    Hemispheric prediction of solar cycle 25 based on a deep learning technique

    Prasad, Amrita / Roy, Soumya / Sarkar, Arindam | Elsevier | 2023
    Schlagwörter: Deep learning

    Highway crash detection and risk estimation using deep learning

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

    How to generate micro-agents? A deep generative modeling approach to population synthesis

    Borysov, Stanislav S. / Rich, Jeppe / Pereira, Francisco C. | Elsevier | 2019
    Schlagwörter: Deep learning

    Hybrid perimeter control with real-time partitions in heterogeneous urban networks: An integration of deep learning and MPC

    Jiang, Shang / Keyvan-Ekbatani, Mehdi | Elsevier | 2023
    Schlagwörter: Deep learning

    Identification of high-risk roadway segments for wrong-way driving crash using rare event modeling and data augmentation techniques

    Ashraf, Md Tanvir / Dey, Kakan / Mishra, Sabyasachee | Elsevier | 2022
    Schlagwörter: Deep Learning

    Imbalanced satellite telemetry data anomaly detection model based on Bayesian LSTM

    Chen, Junfu / Pi, Dechang / Wu, Zhiyuan et al. | Elsevier | 2020
    Schlagwörter: Bayesian deep learning

    Improving deep-learning methods for area-based traffic demand prediction via hierarchical reconciliation

    Khalesian, Mina / Furno, Angelo / Leclercq, Ludovic | Elsevier | 2023
    Schlagwörter: Deep Learning

    Improving short-term bike sharing demand forecast through an irregular convolutional neural network

    Li, Xinyu / Xu, Yang / Zhang, Xiaohu et al. | Elsevier | 2022
    Schlagwörter: Deep learning

    Inertia matrix identification of combined spacecraft using a deep neural network with optimized network structure

    Wu, Shunan / Chu, Weimeng / Wu, Zhigang et al. | Elsevier | 2023
    Schlagwörter: Deep 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

    Integrated self-consistent macro-micro traffic flow modeling and calibration framework based on trajectory data

    Wang, Zelin / Liu, Zhiyuan / Cheng, Qixiu et al. | Elsevier | 2023
    Schlagwörter: Deep learning

    Integrating big data analytics in autonomous driving: An unsupervised hierarchical reinforcement learning approach

    Mao, Zhiqi / Liu, Yang / Qu, Xiaobo | Elsevier | 2024
    Schlagwörter: Deep learning

    Intelligent service capacity allocation for cross-border-E-commerce related third-party-forwarding logistics operations: A deep learning approach

    Ren, Shuyun / Choi, Tsan-Ming / Lee, Ka-Man et al. | Elsevier | 2019
    Schlagwörter: Deep 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: Deep learning

    Investigation of crowdshipping delivery trip production with real-world data

    Shen, Hui / Lin, Jane | Elsevier | 2020
    Schlagwörter: Spatio-temporal deep learning (DL) method

    Ionospheric foF2 nowcast based on a machine learning GWO-ALSTM model

    Yang, Zheng / Qiao, Lei / Su, Mingkun et al. | Elsevier | 2023
    Schlagwörter: Deep learning

    Joint prediction of next location and travel time from urban vehicle trajectories using long short-term memory neural networks

    Sun, Jie / Kim, Jiwon | Elsevier | 2021
    Schlagwörter: Deep learning

    Learning multiobjective rough terrain traversability

    Wallin, Erik / Wiberg, Viktor / Vesterlund, Folke et al. | Elsevier | 2022
    Schlagwörter: Deep learning

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