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keywords:( deep learning)

    A Citizen Science Unmanned Aerial System Data Acquisition Protocol and Deep Learning Techniques for the Automatic Detection and Mapping of Marine Litter Concentrations in the Coastal Zone

    Freier Zugriff
    Apostolos Papakonstantinou / Marios Batsaris / Spyros Spondylidis et al. | DOAJ | 2021
    Schlagwörter: deep learning

    A cold-start-free reinforcement learning approach for traffic signal control

    Xiao, Nan / Yu, Liang / Yu, Jinqiang et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: deep learning , reinforcement learning

    A Comprehensive Survey of Transformers for Computer Vision

    Freier Zugriff
    Sonain Jamil / Md. Jalil Piran / Oh-Jin Kwon | DOAJ | 2023
    Schlagwörter: deep learning

    Adaptive Collision Avoidance for Multiple UAVs in Urban Environments

    Freier Zugriff
    Jinpeng Zhang / Honghai Zhang / Jinlun Zhou et al. | DOAJ | 2023
    Schlagwörter: deep reinforcement learning

    Adaptive Nonlinear Model Predictive Horizon Using Deep Reinforcement Learning for Optimal Trajectory Planning

    Freier Zugriff
    Younes Al Younes / Martin Barczyk | DOAJ | 2022
    Schlagwörter: deep reinforcement learning

    A data-driven lane-changing behavior detection system based on sequence learning

    Gao, Jun / Murphey, Yi Lu / Yi, Jiangang et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: sequence learning , deep LSTM

    A Deep Learning Approach of Intrusion Detection and Tracking with UAV-Based 360° Camera and 3-Axis Gimbal

    Freier Zugriff
    Yao Xu / Yunxiao Liu / Han Li et al. | DOAJ | 2024
    Schlagwörter: deep learning

    A Deep Learning-Based Multi-Signal Radio Spectrum Monitoring Method for UAV Communication

    Freier Zugriff
    Changbo Hou / Dingyi Fu / Zhichao Zhou et al. | DOAJ | 2023
    Schlagwörter: deep learning

    A DEEP LEARNING BASED SLEEPNESS AND WAKEFULNESS DETECTION FOR DRIVERS

    Freier Zugriff
    Şahin IŞIK / Yıldıray ANAGÜN | DOAJ | 2021
    Schlagwörter: deep learning

    A deep learning traffic flow prediction framework based on multi-channel graph convolution

    Zhao, Yuanmeng / Cao, Jie / Zhang, Hong et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: deep learning