Synonyme wurden verwendet für: learning
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41–60 von 608 Ergebnissen
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    Leveraging reinforcement learning for dynamic traffic control: A survey and challenges for field implementation

    Freier Zugriff
    Yu Han / Meng Wang / Ludovic Leclercq | DOAJ | 2023
    Schlagwörter: Reinforcement learning , Learning cost

    A bibliometric analysis and review on reinforcement learning for transportation applications

    Li, Can / Bai, Lei / Yao, Lina et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: Machine learning

    A Drone-Powered Deep Learning Methodology for High Precision Remote Sensing in California’s Coastal Shrubs

    Freier Zugriff
    Jon Detka / Hayley Coyle / Marcella Gomez et al. | DOAJ | 2023
    Schlagwörter: deep learning , machine learning

    Application of algorithmic models of machine learning to the freight transportation process

    Freier Zugriff
    Viktoriia Kotenko | DOAJ | 2022
    Schlagwörter: machine learning , algorithmic models of machine learning

    Review of intelligent detection and statistical methods of wild animals in UAV aerial photography

    Freier Zugriff
    ZHU Ninghua / ZHENG Jiangbin / ZHANG Yang | DOAJ | 2023
    Schlagwörter: deep learning , transfer learning

    A Study of Correlation between Fishing Activity and AIS Data by Deep Learning

    Freier Zugriff
    Kuan Yu Shen / Ying Jui Chu / Shwu Jing Chang et al. | DOAJ | 2020
    Schlagwörter: deep learning framework , deep learning , learning methods

    Uplink Throughput Maximization in UAV-Aided Mobile Networks: A DQN-Based Trajectory Planning Method

    Freier Zugriff
    Yuping Lu / Ge Xiong / Xiang Zhang et al. | DOAJ | 2022
    Schlagwörter: deep reinforcement learning , Q-learning

    Convolutional neural network for detecting railway fastener defects using a developed 3D laser system

    Zhan, You / Dai, Xianxing / Yang, Enhui et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: deep learning

    SATP-GAN: self-attention based generative adversarial network for traffic flow prediction

    Zhang, Liang / Wu, Jianqing / Shen, Jun et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: reinforcement learning

    A data-driven approach to characterize the impact of connected and autonomous vehicles on traffic flow

    Parsa, Amir Bahador / Shabanpour, Ramin / Mohammadian, Abolfazl (Kouros) et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Station-level short-term demand forecast of carsharing system via station-embedding-based hybrid neural network

    Zhao, Feifei / Wang, Weiping / Sun, Huijun et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: Machine learning

    Multi-UAV Cooperative Offensive Combat Intelligent Planning Based on Deep Reinforcement Learning

    Freier Zugriff
    LI Junsheng / YUE Longfei / ZUO Jialiang et al. | DOAJ | 2022
    Schlagwörter: deep learning , deep reinforcement learning

    An evacuation guidance model for pedestrians with limited vision

    Han, Yanbin / Liu, Hong / Li, Liang | Taylor & Francis Verlag | 2023
    Schlagwörter: reinforcement learning

    Calibrating microscopic traffic simulators using machine learning and particle swarm optimization

    Liu, Yanchen / Zou, Bo / Ni, Anning et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Graph attention temporal convolutional network for traffic speed forecasting on road networks

    Zhang, Ke / He, Fang / Zhang, Zhengchao et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: deep learning

    Condition assessment of high-speed railway track structure based on sparse Bayesian extreme learning machine and Bayesian hypothesis testing

    Wang, Senrong / Gao, Jingze / Lin, Chao et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: sparse bayesian learning , extreme learning machine

    Machine learning techniques to predict reactionary delays and other associated key performance indicators on British railway network

    Taleongpong, Panukorn / Hu, Simon / Jiang, Zhoutong et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine learning

    The level of delay caused by crashes (LDC) in metropolitan and non-metropolitan areas: a comparative analysis of improved Random Forests and LightGBM

    Wang, Zehao / Jiao, Pengpeng / Wang, Jianyu et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: feature learning , machine learning

    Application of mayfly algorithm for prediction of removed sediment in hydro-suction dredging systems

    Mahdavi-Meymand, Amin / Zounemat-Kermani, Mohammad | Taylor & Francis Verlag | 2023
    Schlagwörter: machine learning

    Eco-driving at signalized intersections: a parameterized reinforcement learning approach

    Jiang, Xia / Zhang, Jian / Li, Dan | Taylor & Francis Verlag | 2023
    Schlagwörter: reinforcement learning