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Synonyms were used for: Convolutional Neural Network • Neural Network
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    Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit

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    Zhang, Jinlei / Chen, Feng / Guo, Yinan et al. | IET | 2020
    Keywords: convolutional neural nets , three-dimensional convolutional neural network , graph convolutional network , multigraph convolutional network

    Traffic sign recognition using weighted multi-convolutional neural network

    Free access
    Natarajan, Sudha / Annamraju, Abhishek Kumar / Baradkar, Chaitree Sham | IET | 2018
    Keywords: weighted multi-convolutional neural network , robust convolutional neural network , feedforward neural nets , low-complexity network , reliable network

    Multi-scale classification network for road crack detection

    Free access
    Feng, Hui / Xu, Guo-sheng / Guo, Yanhui | IET | 2018
    Keywords: residual network , feedforward neural nets , multiscale classification network , convolutional neural networks

    Urban traffic flow online prediction based on multi-component attention mechanism

    Free access
    Sun, Bo / Sun, Tuo / Zhang, Yujia et al. | IET | 2020
    Keywords: convolutional neural nets , one-dimensional convolutional neural network , recurrent neural network , recurrent neural nets

    Scale-aware limited deformable convolutional neural networks for traffic sign detection and classification

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    Liu, Zhanwen / Shen, Chao / Fan, Xing et al. | IET | 2020
    Keywords: scale-aware multitask region proposal network module , neural nets , deformable convolutional neural networks , region-based deep convolutional neural network framework

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

    Free access
    Bao, Jie / Yu, Hao / Wu, Jiaming | IET | 2019
    Keywords: convolutional neural nets , artificial neural network , hybrid deep learning neural network , convolutional neural network , recurrent neural nets

    Short-term traffic congestion prediction with Conv–BiLSTM considering spatio-temporal features

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    Li, Tao / Ni, Anning / Zhang, Chunqin et al. | IET | 2021
    Keywords: convolutional neural nets , convolutional neural network , prediction network module , recurrent neural nets

    Driving behaviour characterisation by using phase-space reconstruction and pre-trained convolutional neural network

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    He, Xin / Xu, Li / Zhang, Zhe | IET | 2019
    Keywords: convolutional neural nets , pre-trained convolution neural network , convolutional neural network

    Driver identification using 1D convolutional neural networks with vehicular CAN signals

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    Hu, Hongyu / Liu, Jiarui / Gao, Zhenhai et al. | IET | 2021
    Keywords: convolutional neural nets , convolutional-pooling layers , one-dimensional convolutional neural network , 1D convolutional neural networks , vehicular controller area network bus signals

    Long short-term memory and convolutional neural network for abnormal driving behaviour recognition

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    Jia, Shuo / Hui, Fei / Li, Shining et al. | IET | 2019
    Keywords: neural nets , convolutional neural network , long short-term memory network

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

    Free access
    Zhou, Fuqiang / Song, Ya / Liu, Liu et al. | IET | 2018
    Keywords: neural nets , composite neural network , stacked auto-encoder convolutional neural network

    Fatigue driving recognition network: fatigue driving recognition via convolutional neural network and long short-term memory units

    Free access
    Xiao, Zhitao / Hu, Zhiqiang / Geng, Lei et al. | IET | 2019
    Keywords: deep convolutional layers , fatigue driving recognition network , end-to-end trainable convolutional neural network , neural nets

    Multi-step traffic speed prediction model with auxiliary features on urban road networks and its understanding

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    Guo, Jinlong / Song, Chunyue / Zhang, Hao et al. | IET | 2021
    Keywords: convolutional neural nets , urban road network traffic speed prediction , embedding graph convolutional long short-term memory network , graph convolutional network , traffic network , recurrent neural nets

    Vision-based vehicle behaviour analysis: a structured learning approach via convolutional neural networks

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    Mou, Luntian / Xie, Haitao / Mao, Shasha et al. | IET | 2020
    Keywords: convolutional neural nets , structured convolutional neural networks model , overfitting-preventing deep neural network

    Innovative method for traffic data imputation based on convolutional neural network

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    Zhuang, Yifan / Ke, Ruimin / Wang, Yinhai | IET | 2018
    Keywords: feedforward neural nets , convolutional neural network

    Extensive exploration of comprehensive vehicle attributes using D-CNN with weighted multi-attribute strategy

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    Yan, Zhuo / Feng, Youji / Cheng, Cheng et al. | IET | 2017
    Keywords: feedforward neural nets , deep convolutional neural network

    Deep learning-based vehicle detection with synthetic image data

    Free access
    Wang, Ye / Deng, Weiwen / Liu, Zhenyi et al. | IET | 2019
    Keywords: convolutional neural network-based object detectors , neural nets

    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: graph convolutional recurrent neural network , neural nets , recurrent neural nets

    Hyper-parameters optimisation of deep CNN architecture for vehicle logo recognition

    Free access
    Soon, Foo Chong / Khaw, Hui Ying / Chuah, Joon Huang et al. | IET | 2018
    Keywords: deep convolutional neural network architecture , network convergence , feedforward neural nets

    Hybrid strategy for traffic light detection by combining classical and self-learning detectors

    Free access
    Gao, Feng / Wang, Caimei | IET | 2020
    Keywords: convolutional neural nets , convolutional neural network

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

    Free access
    Tian, Yanling / Du, Yubo / Zhang, Qieshi et al. | IET | 2020
    Keywords: pyramid stereo network , neural nets , convolutional neural networks

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

    Free access
    Paidi, Vijay / Fleyeh, Hasan / Håkansson, Johan et al. | IET | 2018
    Keywords: feedforward neural nets , convolutional neural network

    Car detection and classification using cascade model

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    Liang, Jun / Chen, Xu / He, Mei-ling et al. | IET | 2018
    Keywords: network training , neural nets , traditional convolutional neural network models

    Lateral distance detection model based on convolutional neural network

    Free access
    Zhang, Xiang / Yang, Wei / Tang, Xiaolin et al. | IET | 2018
    Keywords: neural nets , convolutional neural network

    Joint vehicle detection and distance prediction via monocular depth estimation

    Free access
    Shen, Chao / Zhao, Xiangmo / Liu, Zhanwen et al. | IET | 2020
    Keywords: convolutional neural nets , end-to-end deep convolutional neural network framework

    Deep learning-based helmet wear analysis of a motorcycle rider for intelligent surveillance system

    Free access
    Yogameena, B. / Menaka, K. / Saravana Perumaal, S. | IET | 2019
    Keywords: convolutional neural nets , region-based convolutional neural network

    Deep learning-based real-time fine-grained pedestrian recognition using stream processing

    Free access
    Zhang, Weishan / Wang, Zhichao / Liu, Xin et al. | IET | 2018
    Keywords: improved convolutional neural network , neural nets

    Real-time detection of distracted driving based on deep learning

    Free access
    Tran, Duy / Manh Do, Ha / Sheng, Weihua et al. | IET | 2018
    Keywords: deep convolutional neural networks , neural nets , residual network

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