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1–50 von 137 Ergebnissen
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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

    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

    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

    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)

    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

    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

    Fatigue driving detection model based on multi-feature fusion and semi-supervised active learning

    Freier Zugriff
    Li, Xu / Hong, Lin / Wang, Jian-chun et al. | IET | 2019
    Schlagwörter: learning (artificial intelligence) , semisupervised active learning algorithm

    Hierarchical reinforcement learning for self-driving decision-making without reliance on labelled driving data

    Freier Zugriff
    Duan, Jingliang / Eben Li, Shengbo / Guan, Yang et al. | IET | 2020
    Schlagwörter: learning (artificial intelligence) , hierarchical reinforcement learning , supervised learning

    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

    Deep reinforcement-learning-based driving policy for autonomous road vehicles

    Freier Zugriff
    Makantasis, Konstantinos / Kontorinaki, Maria / Nikolos, Ioannis | IET | 2019
    Schlagwörter: deep reinforcement-learning-based , derived reinforcement learning policy , learning (artificial intelligence)

    Urban traffic signal control using reinforcement learning agents

    Balaji, P.G. / German, X. / Srinivasan, D. | IET | 2010
    Schlagwörter: learning (artificial intelligence)

    Emotional temporal difference Q-learning signals in multi-agent system cooperation: real case studies

    Freier Zugriff
    Abdi, Javad / Moshiri, Behzad / Abdulhai, Baher | IET | 2013
    Schlagwörter: reinforcement learning , learning (artificial intelligence) , optimal TD Q-learning method performance improvement , emotional temporal difference Q-learning signals

    How to pay less: a location-specific approach to predict dynamic prices in ride-on-demand services

    Freier Zugriff
    Guo, Suiming / Chen, Chao / Liu, Yaxiao et al. | IET | 2018
    Schlagwörter: learning (artificial intelligence) , ensemble learning

    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: multitask learning , learning (artificial intelligence)

    Chinese vehicle license plate recognition using kernel-based extreme learning machine with deep convolutional features

    Freier Zugriff
    Yang, Yun / Li, Donghai / Duan, Zongtao | IET | 2017
    Schlagwörter: learning (artificial intelligence) , kernel-based extreme learning machine

    Reinforcement learning-based multi-agent system for network traffic signal control

    Arel, I. / Liu, C. / Urbanik, T. et al. | IET | 2010
    Schlagwörter: learning (artificial intelligence)

    Lane detection method based on lane structural analysis and CNNs

    Freier Zugriff
    Ye, Yang Yang / Hao, Xiao Li / Chen, Hou Jin | IET | 2018
    Schlagwörter: machine learning method , learning (artificial intelligence)

    Value-based deep reinforcement learning for adaptive isolated intersection signal control

    Freier Zugriff
    Wan, Chia-Hao / Hwang, Ming-Chorng | IET | 2018
    Schlagwörter: machine learning-based framework , learning (artificial intelligence) , deep Q-learning neural network , value-based deep reinforcement learning

    Deep reinforcement learning based conflict detection and resolution in air traffic control

    Freier Zugriff
    Wang, Zhuang / Li, Hui / Wang, Junfeng et al. | IET | 2019
    Schlagwörter: learning (artificial intelligence) , deep reinforcement learning

    Discriminatively trained patch-based model for occupant classification

    Huang, S.-S. | IET | 2012
    Schlagwörter: learning (artificial intelligence)

    Understanding drivers' route choice behaviours in the urban network with machine learning models

    Freier Zugriff
    Lai, Xinjun / Fu, Hui / Li, Jun et al. | IET | 2018
    Schlagwörter: learning (artificial intelligence) , machine learning models

    Learning user preferences of route choice behaviour for adaptive route guidance

    Park, K. / Bell, M. / Kaparias, I. et al. | IET | 2007
    Schlagwörter: learning (artificial intelligence)

    Learning-based method for lane detection using regionlet representation

    Freier Zugriff
    Chen, Yuxuan / Chen, Wei-Gang / Wang, Xun et al. | IET | 2019
    Schlagwörter: learning (artificial intelligence) , learning-based method

    LSTM network: a deep learning approach for short-term traffic forecast

    Freier Zugriff
    Zhao, Zheng / Chen, Weihai / Wu, Xingming et al. | IET | 2017
    Schlagwörter: learning (artificial intelligence) , LSTM deep-learning approach

    Deep learning-based vehicle detection with synthetic image data

    Freier Zugriff
    Wang, Ye / Deng, Weiwen / Liu, Zhenyi et al. | IET | 2019
    Schlagwörter: learning (artificial intelligence) , deep learning-based vehicle detection

    Impact of on-board tutoring systems to improve driving efficiency of non-professional drivers

    Freier Zugriff
    Pozueco, Laura / Rionda, Abel / García Pañeda, Alejandro et al. | IET | 2017
    Schlagwörter: continuous learning process

    Iterative learning of an unknown road path through cooperative driving of vehicles

    Freier Zugriff
    Yang, Lin / Li, Yanan / Huang, Deqing et al. | IET | 2020
    Schlagwörter: iterative learning , learning (artificial intelligence)

    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: hybrid deep learning framework , learning (artificial intelligence) , hybrid deep learning neural network , deep learning approach

    Three-stage RGBD architecture for vehicle and pedestrian detection using convolutional neural networks and stereo vision

    Freier Zugriff
    Ferraz, Pedro Augusto Pinho / de Oliveira, Bernardo Augusto Godinho / Ferreira, Flávia Magalhães Freitas et al. | IET | 2020
    Schlagwörter: residual learning , learning (artificial intelligence) , deep learning , transfer learning

    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: learning (artificial intelligence) , shallow learning

    Short-term traffic forecasting using self-adjusting k-nearest neighbours

    Freier Zugriff
    Sun, Bin / Cheng, Wei / Goswami, Prashant et al. | IET | 2017
    Schlagwörter: learning (artificial intelligence)

    Comparative analysis of implicit models for real-time short-term traffic predictions

    Freier Zugriff
    Fusco, Gaetano / Colombaroni, Chiara / Isaenko, Natalia | IET | 2016
    Schlagwörter: machine-learning models , learning (artificial intelligence)

    Recognising daytime and nighttime driving images using Bayes classifier

    Hsieh, H.Y. / Chen, N. | IET | 2012
    Schlagwörter: learning (artificial intelligence)

    Short-term traffic flow prediction of road network based on deep learning

    Freier Zugriff
    Han, Lei / Huang, Yi-Shao | IET | 2020
    Schlagwörter: learning (artificial intelligence) , deep learning , kernel extreme learning machine classifier

    SVRGSA: a hybrid learning based model for short-term traffic flow forecasting

    Freier Zugriff
    Cai, Lingru / Chen, Qian / Cai, Weihong et al. | IET | 2019
    Schlagwörter: hybrid learning based model , learning (artificial intelligence)