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Synonyme wurden verwendet für: Deep Learning
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    Variance-based global sensitivity analysis for rear-end crash investigation using deep learning

    Moussa, Ghada S. / Owais, Mahmoud / Dabbour, Essam | Elsevier | 2021
    Schlagwörter: Deep learning

    Using open data and deep learning to explore walkability in Shenzhen, China

    He, Xuan / He, Sylvia Y. | Elsevier | 2023
    Schlagwörter: Deep learning

    Urban mobility analytics: A deep spatial–temporal product neural network for traveler attributes inference

    Li, Can / Bai, Lei / Liu, Wei et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    Understand the impact of traffic states on crash risk in the vicinities of Type A weaving segments: A deep learning approach

    Zhao, Jingya / Liu, Pan / Xu, Chengcheng et al. | Elsevier | 2021
    Schlagwörter: Deep learning

    Trajectory-level fog detection based on in-vehicle video camera with TensorFlow deep learning utilizing SHRP2 naturalistic driving data

    Khan, Md Nasim / Ahmed, Mohamed M. | Elsevier | 2020
    Schlagwörter: Deep Learning

    Trajectory-as-a-Sequence: A novel travel mode identification framework

    Zeng, Jiaqi / Yu, Yi / Chen, Yong et al. | Elsevier | 2022
    Schlagwörter: Deep learning

    Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities

    Shaygan, Maryam / Meese, Collin / Li, Wanxin et al. | Elsevier | 2022
    Schlagwörter: Deep learning

    Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks

    Wang, Shenhao / Mo, Baichuan / Zhao, Jinhua | Elsevier | 2021
    Schlagwörter: Deep learning

    The impacts of visual street environments on obesity: The mediating role of walking behaviors

    Kim, Ji-Il / Yu, Chia-Yuan / Woo, Ayoung | Elsevier | 2023
    Schlagwörter: Deep learning

    The automated prediction of solar flares from SDO images using deep learning

    Abed, Ali K / Qahwaji, Rami / Abed, Ahmed | Elsevier | 2021
    Schlagwörter: Deep learning

    Supply Chain 4.0 performance measurement: A systematic literature review, framework development, and empirical evidence

    Govindan, Kannan / Kannan, Devika / Jørgensen, Thomas Ballegård et al. | Elsevier | 2022
    Schlagwörter: Deep Learning

    Supervised learning mixing characteristics of film cooling in a rocket combustor using convolutional neural networks

    Ma, Hao / Zhang, Yu-xuan / Haidn, Oskar J. et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    Streetscape and business survival: Examining the impact of walkable environments on the survival of restaurant businesses in commercial areas based on street view images

    Kim, Sohee / Woo, Ayoung | Elsevier | 2022
    Schlagwörter: Deep learning

    Spatiotemporal prediction of particulate matter concentration based on traffic and meteorological data

    Yang, Jiayu / Shi, Linchang / Lee, Jaeyoung et al. | Elsevier | 2024
    Schlagwörter: Deep-learning methods

    Simultaneous modeling of car-following and lane-changing behaviors using deep learning

    Zhang, Xiaohui / Sun, Jie / Qi, Xiao et al. | Elsevier | 2019
    Schlagwörter: Deep learning

    Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method

    Zhang, Jinlei / Che, Hongshu / Chen, Feng et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    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)

    Short-term electric vehicle battery swapping demand prediction: Deep learning methods

    Wang, Shengyou / Chen, Anthony / Wang, Pinxi et al. | Elsevier | 2023
    Schlagwörter: Deep learning methods

    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

    Safety critical event prediction through unified analysis of driver and vehicle volatilities: Application of deep learning methods

    Arvin, Ramin / Khattak, Asad J. / Qi, Hairong | Elsevier | 2020
    Schlagwörter: Deep Learning

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