Synonyme wurden verwendet für: learning
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61–80 von 628 Ergebnissen
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    Eco-driving at signalized intersections: a parameterized reinforcement learning approach

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

    An evacuation guidance model for pedestrians with limited vision

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

    Multidomain Joint Learning of Pedestrian Detection for Application to Quadrotors

    Freier Zugriff
    Yuan-Kai Wang / Jonathan Guo / Tung-Ming Pan | DOAJ | 2022
    Schlagwörter: multitask learning , multidomain joint learning

    Road Pothole Detection Using Unmanned Aerial Vehicle Imagery and Deep Learning Technique

    Freier Zugriff
    Dana Mohammed Ali / Haval A.Sadeq | DOAJ | 2022
    Schlagwörter: deep learning

    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

    Planning maintenance and rehabilitation activities for airport pavements: A combined supervised machine learning and reinforcement learning approach

    Freier Zugriff
    Limon Barua / Bo Zou | DOAJ | 2022
    Schlagwörter: Reinforcement learning , Q-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

    Analysis of methods of object recognition and image compression during aerial photography from unmanned aerial vehicles

    Freier Zugriff
    M.Yu. / D.A. / A.A. et al. | DOAJ | 2023
    Schlagwörter: deep learning , machine learning

    Real-time traffic incident detection based on a hybrid deep learning model

    Li, Linchao / Lin, Yi / Du, Bowen et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning

    Leveraging autonomous vehicles in mixed-autonomy traffic networks with reinforcement learning-controlled intersections

    Mosharafian, Sahand / Afzali, Shirin / Mohammadpour Velni, Javad | Taylor & Francis Verlag | 2023
    Schlagwörter: Reinforcement learning

    Dynamic modelling and control of a twin-rotor system using adaptive neuro-fuzzy inference system techniques

    Omar, M / Zaidan, M A / Tokhi, M O | SAGE Publications | 2012
    Schlagwörter: online learning

    Reinforcement learning-enabled genetic algorithm for school bus scheduling

    Köksal Ahmed, Eda / Li, Zengxiang / Veeravalli, Bharadwaj et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: reinforcement learning

    HKGAIL: Policy shaping via integrating human knowledge with generative adversarial imitation learning

    Freier Zugriff
    Yanfei Peng / Guozhen Tan / Huaiwei Si | DOAJ | 2023
    Schlagwörter: generative adversarial imitation learning , reinforcement learning

    On the potential for recognising of social interaction and social learning in modelling travellers’ change of behaviour under uncertainty

    Sunitiyoso, Yos / Avineri, Erel / Chatterjee, Kiron | Taylor & Francis Verlag | 2011
    Schlagwörter: social learning

    Automatic Road Pavement Distress Recognition Using Deep Learning Networks from Unmanned Aerial Imagery

    Freier Zugriff
    Farhad Samadzadegan / Farzaneh Dadrass Javan / Farnaz Ashtari Mahini et al. | DOAJ | 2024
    Schlagwörter: deep learning network , YOLOv8 Deep Learning Network

    Decentralized Learning and Model Averaging Based Automatic Modulation Classification in Drone Communication Systems

    Freier Zugriff
    Min Ma / Yunhe Xu / Zhi Wang et al. | DOAJ | 2023
    Schlagwörter: deep learning , decentralized learning

    SUST-DDD: A Real-Drive Dataset for Driver Drowsiness Detection

    Freier Zugriff
    Esra Kavalci Yilmaz / M. Ali Akcayol | DOAJ | 2022
    Schlagwörter: deep learning

    Integration of machine learning and statistical models for crash frequency modeling

    Zhou, Dongqin / Gayah, Vikash V. / Wood, Jonathan S. | Taylor & Francis Verlag | 2023
    Schlagwörter: Machine learning

    Traffic volume prediction on low-volume roadways: a Cubist approach

    Das, Subasish | Taylor & Francis Verlag | 2021
    Schlagwörter: machine learning

    Framework for development of the Scheduler for Activities, Locations, and Travel (SALT) model

    Hesam Hafezi, Mohammad / Sultana Daisy, Naznin / Millward, Hugh et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: machine-learning