1–20 von 92 Ergebnissen
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    Vehicle Color Recognition With Spatial Pyramid Deep Learning

    Hu, Chuanping | Online Contents | 2015
    Schlagwörter: deep learning , convolutional neural network (CNN) , Neural networks

    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) , Fusion convolutional long short-term memory network (FCL-Net) , Convolutional neural network (CNN)

    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

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

      Freier Zugriff
      Yan, Zhuo / Feng, Youji / Cheng, Cheng et al. | Wiley | 2018
      Schlagwörter: deep convolutional neural network , feedforward neural nets

    Artificial intelligence for traffic signal control based solely on video images

    Jeon, Hyunjeong / Lee, Jincheol / Sohn, Keemin | Taylor & Francis Verlag | 2018
    Schlagwörter: convolutional neural network (CNN) , deep learning

    AI-based movement planning for autonomous and teleoperated vehicles including the development of a simulation environment an intelligent agent

    Freier Zugriff
    Thomas Nützel | BASE | 2018
    Schlagwörter: Neural Network , Deep Learning , Convolutional Neural Network

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

    Freier Zugriff
    Zhang, Weishan / Wang, Zhichao / Liu, Xin et al. | IET | 2018
    Schlagwörter: deep learning-based real-time fine-grained pedestrian recognition , improved single-shot detector , improved convolutional neural network , neural nets

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

      Freier Zugriff
      Zhang, Weishan / Wang, Zhichao / Liu, Xin et al. | Wiley | 2018
      Schlagwörter: deep learning‐based real‐time fine‐grained pedestrian recognition , neural nets , improved single‐shot detector , improved convolutional neural network

    Lateral distance detection model based on convolutional neural network

    Freier Zugriff
    Zhang, Xiang / Yang, Wei / Tang, Xiaolin et al. | IET | 2018
    Schlagwörter: deep learning model , neural nets , convolutional neural network , improved image quilting algorithm

      Lateral distance detection model based on convolutional neural network

      Freier Zugriff
      Zhang, Xiang / Yang, Wei / Tang, Xiaolin et al. | Wiley | 2019
      Schlagwörter: improved image quilting algorithm , neural nets , convolutional neural network , deep learning model

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

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

      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 , deep learning , stacked auto-encoder convolutional neural network

    Innovative method for traffic data imputation based on convolutional neural network

    Freier Zugriff
    Zhuang, Yifan / Ke, Ruimin / Wang, Yinhai | Wiley | 2019
    Schlagwörter: convolutional neural network , deep‐learning method , feedforward neural nets

      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 , deep-learning method

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

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

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

    Freier Zugriff
    Paidi, Vijay / Fleyeh, Hasan / Håkansson, Johan et al. | Wiley | 2018
    Schlagwörter: convolutional neural network , deep learning , feedforward neural nets

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

      Freier Zugriff
      Paidi, Vijay / Fleyeh, Hasan / Håkansson, Johan et al. | IET | 2018
      Schlagwörter: feedforward neural nets , convolutional neural network , deep learning

    Real-time detection of distracted driving based on deep learning

    Freier Zugriff
    Tran, Duy / Manh Do, Ha / Sheng, Weihua et al. | IET | 2018
    Schlagwörter: deep convolutional neural networks , neural nets , deep learning , residual network

      Real‐time detection of distracted driving based on deep learning

      Freier Zugriff
      Tran, Duy / Manh Do, Ha / Sheng, Weihua et al. | Wiley | 2018
      Schlagwörter: residual network , neural nets , deep convolutional neural networks , deep learning

    An advanced deep learning approach to real-time estimation of lane-based queue lengths at a signalized junction

    Lee, Seunghyeon / Xie, Kun / Ngoduy, Dong et al. | Elsevier | 2019
    Schlagwörter: Long short-term memory network , Convolutional neural network , Deep learning

    A novel CNN-DDPG based AI-trader: Performance and roles in business operations

    Luo, Suyuan / Lin, Xudong / Zheng, Zunxin | Elsevier | 2019
    Schlagwörter: Deep deterministic policy gradient , Convolutional neural network

    Sistem Pengenal Isyarat Tangan Untuk Mengendalikan Gerakan Robot Beroda menggunakan Convolutional Neural Network

    Freier Zugriff
    Adi, Habib Astari / Candradewi, Ika | BASE | 2019
    Schlagwörter: deep learning , convolutional neural network

    Convolutional neural network based combustion mode classification for condition monitoring in the supersonic combustor

    Zhu, Xiaobin / Cai, Zun / Wu, Jianjun et al. | Elsevier | 2019
    Schlagwörter: Convolutional neural network , ANN , Artificial Neural Network , Deep Learning , Convolutional Neural Network , Deep Convolutional Neural Network , Single-hidden Layer Feedforward Neural Network , kNN

    Structural Damage Detection using Deep Convolutional Neural Network and Transfer Learning

    Feng, Chuncheng / Zhang, Hua / Wang, Shuang et al. | Springer Verlag | 2019
    Schlagwörter: deep convolutional neural network

      Structural Damage Detection using Deep Convolutional Neural Network and Transfer Learning

      Feng, Chuncheng / Zhang, Hua / Wang, Shuang et al. | Online Contents | 2019
      Schlagwörter: deep convolutional neural network

    Deep Learning-Based Damage Detection from Aerial SfM Point Clouds

    Freier Zugriff
    Mohammad Ebrahim Mohammadi / Daniel P. Watson / Richard L. Wood | DOAJ | 2019
    Schlagwörter: three-dimensional convolutional neural network , deep learning

    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 , hybrid deep learning framework , artificial neural network , hybrid deep learning neural network , convolutional neural network , deep learning approach , 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 | Wiley | 2019
      Schlagwörter: hybrid deep learning neural network , convolutional neural network , convolutional neural nets , deep learning approach , artificial neural network , recurrent neural nets , hybrid deep learning framework

    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 , deep cascaded multitask framework

      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. | Wiley | 2019
      Schlagwörter: deep convolutional layers , neural nets , fatigue driving recognition network , end‐to‐end trainable convolutional neural network , deep cascaded multitask framework