Synonyms were used for: Deep Learning
Search without synonyms: keywords:("Deep Learning")

1–20 of 38 hits
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    Combining weather condition data to predict traffic flow: a GRU-based deep learning approach

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    Zhang, Da / Kabuka, Mansur R. | IET | 2018
    Keywords: GRU-based deep learning approach , gated recurrent unit-based deep learning framework

    Deep learning methods in transportation domain: a review

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    Nguyen, Hoang / Kieu, Le-Minh / Wen, Tao et al. | IET | 2018
    Keywords: deep learning methods , deep learning systems

    Predicting driver behaviour at intersections based on driver gaze and traffic light recognition

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    Rahman, Md. Junaedur / Beauchemin, Steven S. / Bauer, Michael A. | IET | 2021
    Keywords: deep learning (artificial intelligence) , deep learning framework

    Short-term FFBS demand prediction with multi-source data in a hybrid deep learning framework

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    Bao, Jie / Yu, Hao / Wu, Jiaming | IET | 2019
    Keywords: hybrid deep learning framework , hybrid deep learning neural network , deep learning approach

    Efficient deep learning based method for multi-lane speed forecasting: a case study in Beijing

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    Lu, Wenqi / Yi, Ziwei / Liu, Wan et al. | IET | 2021
    Keywords: deep learning based traffic prediction methods , deep learning (artificial intelligence)

    MobileNet-SSD MicroScope using adaptive error correction algorithm: real-time detection of license plates on mobile devices

    Free access
    Hu, Xun / Li, Hong / Li, Xinrong et al. | IET | 2020
    Keywords: deep learning methods

    Innovative method for traffic data imputation based on convolutional neural network

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    Zhuang, Yifan / Ke, Ruimin / Wang, Yinhai | IET | 2018
    Keywords: deep-learning method

    Deep learning-based vehicle detection with synthetic image data

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    Wang, Ye / Deng, Weiwen / Liu, Zhenyi et al. | IET | 2019
    Keywords: deep learning-based vehicle detection

    LSTM network: a deep learning approach for short-term traffic forecast

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    Zhao, Zheng / Chen, Weihai / Wu, Xingming et al. | IET | 2017
    Keywords: LSTM deep-learning approach

    Deep-learning architecture to forecast destinations of bus passengers from entry-only smart-card data

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    Jung, Jaeyoung / Sohn, Keemin | IET | 2017
    Keywords: deep-learning architecture

    Spatio-temporal expand-and-squeeze networks for crowd flow prediction in metropolis

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    Yang, Bing / Kang, Yan / Li, Hao et al. | IET | 2020
    Keywords: deep learning methods

    Fuzzy hybrid framework with dynamic weights for short-term traffic flow prediction by mining spatio-temporal correlations

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    Ma, Dongfang / Sheng, Bowen / Ma, Xiaolong et al. | IET | 2019
    Keywords: deep learning

    Depth estimation for advancing intelligent transport systems based on self-improving pyramid stereo network

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    Tian, Yanling / Du, Yubo / Zhang, Qieshi et al. | IET | 2020
    Keywords: deep learning model

    Automated visual inspection of target parts for train safety based on deep learning

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    Zhou, Fuqiang / Song, Ya / Liu, Liu et al. | IET | 2018
    Keywords: deep learning

    Research on deep learning method for rail surface defect detection

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    Feng, Jiang Hua / Yuan, Hao / Hu, Yun Qing et al. | IET | 2020
    Keywords: deep learning method

    Deep learning-based vehicle occupancy detection in an open parking lot using thermal camera

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    Paidi, Vijay / Fleyeh, Hasan / Nyberg, Roger G. | IET | 2020
    Keywords: deep learning

    License plate segmentation and recognition system using deep learning and OpenVINO

    Free access
    Castro-Zunti, Riel D. / Yépez, Juan / Ko, Seok-Bum | IET | 2020
    Keywords: deep learning

    Lateral distance detection model based on convolutional neural network

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    Zhang, Xiang / Yang, Wei / Tang, Xiaolin et al. | IET | 2018
    Keywords: deep learning model

    Smart parking sensors, technologies and applications for open parking lots: a review

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    Paidi, Vijay / Fleyeh, Hasan / Håkansson, Johan et al. | IET | 2018
    Keywords: deep learning

    Short-term prediction of traffic flow under incident conditions using graph convolutional recurrent neural network and traffic simulation

    Free access
    Fukuda, Shota / Uchida, Hideaki / Fujii, Hideki et al. | IET | 2020
    Keywords: deep learning model