1–20 von 28 Ergebnissen
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    Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit

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

    Traffic sign recognition using weighted multi-convolutional neural network

    Freier Zugriff
    Natarajan, Sudha / Annamraju, Abhishek Kumar / Baradkar, Chaitree Sham | IET | 2018
    Schlagwörter: 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

    Freier Zugriff
    Feng, Hui / Xu, Guo-sheng / Guo, Yanhui | IET | 2018
    Schlagwörter: residual network , feedforward neural nets , multiscale classification network , convolutional neural networks

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

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

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

    Freier Zugriff
    Sun, Bo / Sun, Tuo / Zhang, Yujia et al. | IET | 2020
    Schlagwörter: convolutional neural nets , one-dimensional convolutional neural network , recurrent neural network , recurrent neural nets

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

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

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

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

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

    Freier Zugriff
    Bao, Jie / Yu, Hao / Wu, Jiaming | IET | 2019
    Schlagwörter: convolutional neural nets , artificial neural network , hybrid deep learning neural network , convolutional neural network , recurrent neural nets

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

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

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

    Freier Zugriff
    Zhou, Fuqiang / Song, Ya / Liu, Liu et al. | IET | 2018
    Schlagwörter: neural nets , composite neural network , stacked auto-encoder convolutional neural network

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

    Freier Zugriff
    Guo, Jinlong / Song, Chunyue / Zhang, Hao et al. | IET | 2021
    Schlagwörter: 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

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

    Freier Zugriff
    Hu, Hongyu / Liu, Jiarui / Gao, Zhenhai et al. | IET | 2021
    Schlagwörter: 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

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

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

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

    Innovative method for traffic data imputation based on convolutional neural network

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

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

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

    Deep learning-based vehicle detection with synthetic image data

    Freier Zugriff
    Wang, Ye / Deng, Weiwen / Liu, Zhenyi et al. | IET | 2019
    Schlagwörter: convolutional neural network-based object detectors , neural nets

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

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

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

    Freier Zugriff
    Fukuda, Shota / Uchida, Hideaki / Fujii, Hideki et al. | IET | 2020
    Schlagwörter: graph convolutional recurrent neural network , neural nets , recurrent neural nets

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

    Freier Zugriff
    Gao, Feng / Wang, Caimei | IET | 2020
    Schlagwörter: convolutional neural nets , convolutional neural network