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1–20 von 137 Ergebnissen
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    Hybrid model for predicting anomalous large passenger flow in urban metros

    Freier Zugriff
    Zheng, Zhihao / Ling, Ximan / Wang, Pu et al. | IET | 2021
    Schlagwörter: learning (artificial intelligence) , online learning algorithms , machine learning models

    Adaptive traffic signal control system using composite reward architecture based deep reinforcement learning

    Freier Zugriff
    Jamil, Abu Rafe Md / Ganguly, Kishan Kumar / Nower, Naushin | IET | 2021
    Schlagwörter: stable learning , fast learning , deep learning (artificial intelligence) , deep reinforcement learning

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

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

    Multi-task deep learning with optical flow features for self-driving cars

    Freier Zugriff
    Hu, Yuan / Shum, Hubert P. H. / Ho, Edmond S. L. | IET | 2021
    Schlagwörter: multitask deep learning , learning (artificial intelligence)

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

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

    Deep learning enabled vehicle trajectory map-matching method with advanced spatial–temporal analysis

    Freier Zugriff
    Liu, Zhijia / Fang, Jie / Tong, Yingfang et al. | IET | 2021
    Schlagwörter: deep learning model , learning (artificial intelligence)

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

    Freier Zugriff
    Hu, Hongyu / Liu, Jiarui / Gao, Zhenhai et al. | IET | 2021
    Schlagwörter: learning (artificial intelligence) , deep learning framework

    Trajectory prediction for intelligent vehicles using spatial-attention mechanism

    Freier Zugriff
    Yan, Jun / Peng, Zifeng / Yin, Huilin et al. | IET | 2021
    Schlagwörter: learning (artificial intelligence)

    Lane-changing decision method based Nash Q-learning with considering the interaction of surrounding vehicles

    Freier Zugriff
    Zhou, Xiaochuan / Kuang, Dengming / Zhao, Wanzhong et al. | IET | 2021
    Schlagwörter: Nash Q-learning

    LightGBM-based model for metro passenger volume forecasting

    Freier Zugriff
    Zhang, Youyang / Zhu, Changfeng / Wang, Qingrong | IET | 2021
    Schlagwörter: learning (artificial intelligence)

    Semi-supervised double duelling broad reinforcement learning in support of traffic service in smart cities

    Freier Zugriff
    Tang, Jing / Wei, Xin / Zhao, Jialin et al. | IET | 2020
    Schlagwörter: semisupervised double duelling broad reinforcement learning , deep reinforcement learning approach , semisupervised learning , Q-learning network , supervised learning

    Motion control of unmanned underwater vehicles via deep imitation reinforcement learning algorithm

    Freier Zugriff
    Chu, Zhenzhong / Sun, Bo / Zhu, Daqi et al. | IET | 2020
    Schlagwörter: supervised learning method , learning (artificial intelligence) , unmanned underwater vehiclesViadeep imitation reinforcement learning algorithm , imitation learning twin , deep reinforcement learning , deep imitation reinforcement learning

    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: machine-learning-based traffic prediction , model learning , deep learning model , learning (artificial intelligence)

    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: structured learning approach , multitask learning , learning (artificial intelligence) , transfer learning

    Heuristics-oriented overtaking decision making for autonomous vehicles using reinforcement learning

    Freier Zugriff
    Liu, Teng / Huang, Bing / Deng, Zejian et al. | IET | 2020
    Schlagwörter: learning efficiency , modified Q-learning algorithm , learning (artificial intelligence) , traditional learning methods , heuristic planning reinforcement learning algorithm

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

    Freier Zugriff
    Gao, Feng / Wang, Caimei | IET | 2020
    Schlagwörter: learning features , self-learning algorithms , self-learning detectors , unsupervised learning

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

    Freier Zugriff
    Tian, Yanling / Du, Yubo / Zhang, Qieshi et al. | IET | 2020
    Schlagwörter: deep learning model , learning (artificial intelligence) , online learning

    Driving policies of V2X autonomous vehicles based on reinforcement learning methods

    Freier Zugriff
    Wu, Zhenyu / Qiu, Kai / Gao, Hongbo | IET | 2020
    Schlagwörter: OpenAI reinforcement learning framework , learning (artificial intelligence)

    Predictive model for battery life in IoT networks

    Freier Zugriff
    Reddy Maddikunta, Praveen Kumar / Srivastava, Gautam / Reddy Gadekallu, Thippa et al. | IET | 2020
    Schlagwörter: learning (artificial intelligence)

    Speed harmonisation and merge control using connected automated vehicles on a highway lane closure: a reinforcement learning approach

    Freier Zugriff
    Ko, Byungjin / Ryu, Seunghan / Park, Byungkyu Brian et al. | IET | 2020
    Schlagwörter: reinforcement learning approach , learning (artificial intelligence) , reinforcement learning algorithm