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    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

    Automatic classification of traffic incident's severity using machine learning approaches

    Freier Zugriff
    Nguyen, Hoang / Cai, Chen / Chen, Fang | IET | 2017
    Schlagwörter: machine learning , active learning , learning (artificial intelligence)

    Deep learning methods in transportation domain: a review

    Freier Zugriff
    Nguyen, Hoang / Kieu, Le-Minh / Wen, Tao et al. | IET | 2018
    Schlagwörter: machine learning methods , learning (artificial intelligence) , deep learning methods , deep learning systems

    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

    Use of learning classifier systems in microscopic toll plaza simulation models

    Freier Zugriff
    Bartin, Bekir | IET | 2019
    Schlagwörter: learning problem , machine learning technique , learning (artificial intelligence) , XCS learning algorithm , multiple learning episodes , learning classifier systems

    Combining weather condition data to predict traffic flow: a GRU-based deep learning approach

    Freier Zugriff
    Zhang, Da / Kabuka, Mansur R. | IET | 2018
    Schlagwörter: learning (artificial intelligence) , GRU-based deep learning approach , gated recurrent unit-based deep learning framework

    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)

    Prediction of energy consumption for new electric vehicle models by machine learning

    Freier Zugriff
    Fukushima, Arika / Yano, Toru / Imahara, Shuichiro et al. | IET | 2018
    Schlagwörter: transfer learning method , learning (artificial intelligence) , machine learning

    Ant colony optimisation for coloured travelling salesman problem by multi-task learning

    Freier Zugriff
    Dong, Xueshi / Dong, Wenyong / Cai, Yongle | IET | 2018
    Schlagwörter: learning (artificial intelligence) , cooperative learning , multitask cooperative learning approach

    Ensemble classifier for driver's fatigue detection based on a single EEG channel

    Freier Zugriff
    Wang, Ping / Min, Jianliang / Hu, Jianfeng | IET | 2018
    Schlagwörter: learning (artificial intelligence) , ensemble learning method

    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

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

    Freier Zugriff
    Jung, Jaeyoung / Sohn, Keemin | IET | 2017
    Schlagwörter: deep-learning architecture , learning (artificial intelligence) , supervised machine-learning model

    Machine-learning methodology for energy efficient routing

    Freier Zugriff
    Masikos, Michail / Demestichas, Konstantinos / Adamopoulou, Evgenia et al. | IET | 2014
    Schlagwörter: learning (artificial intelligence) , machine learning methodology , machine learning functionality

    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

    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

    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)

    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

    Accounting for travel time reliability, trip purpose and departure time choice in an agent-based dynamic toll pricing approach

    Freier Zugriff
    Li, Wan / Cheng, Danhong / Bian, Ruijie et al. | IET | 2017
    Schlagwörter: driver learning process

    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

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