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keywords:("Deep Learning")

    A gesture-based robot program building software

    Freier Zugriff
    C. Nuzzi / S. Pasinetti / S. Ghidini et al. | BASE | 2020
    Schlagwörter: deep learning

    A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data

    Bogaerts, Toon / Masegosa, Antonio D. / Angarita-Zapata, Juan S. et al. | Elsevier | 2020
    Schlagwörter: Deep learning

    A Hierarchical Prior Bounding Box Based on Feature Receptive Fields for Parts Object Detection

    Wang, Shisheng / Zhang, Ming / Wang, Guanpeng | Springer Verlag | 2022
    Schlagwörter: Deep learning

    A Highly Effective Deep Learning Based Escape Route Recognition Module for Autonomous Robots in Crisis and Emergency Situations

    Freier Zugriff
    Buettner, Ricardo / Baumgartl, Hermann | BASE | 2019
    Schlagwörter: deep learning

    A Hybrid Deep Convolutional Neural Network Approach for Predicting the Traffic Congestion Index

    Freier Zugriff
    Duy Tran Quang / Sang Hoon Bae | DOAJ | 2021
    Schlagwörter: deep learning

    A Hybrid Feature Selection-multidimensional LSTM Framework for Deformation Prediction of Super High Arch Dams

    Cao, Enhua / Bao, Tengfei / Li, Hui et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning

    A hybrid liar/radar-based deep learning and vehicle recognition engine for autonomous vehicle Precrash control

    Freier Zugriff
    Elbagoury, Bassant Mohamed / Maskeliūnas, Rytis / Salem, Abdel Badeeh Mohamed M. | BASE | 2018
    Schlagwörter: deep learning

      A hybrid liar/radar-based deep learning and vehicle recognition engine for autonomous vehicle Precrash control

      Freier Zugriff
      Elbagoury, Bassant Mohamed / Maskeliūnas, Rytis / Salem, Abdel Badeeh Mohamed M. | BASE | 2018
      Schlagwörter: deep learning

      A hybrid liar/radar-based deep learning and vehicle recognition engine for autonomous vehicle Precrash control

      Freier Zugriff
      Elbagoury, Bassant Mohamed / Maskeliūnas, Rytis / Salem, Abdel Badeeh Mohamed M. | BASE | 2018
      Schlagwörter: deep learning

    A Hybrid LSTM-CPS Approach for Long-Term Prediction of Train Delays in Multivariate Time Series

    Freier Zugriff
    Jianqing Wu / Bo Du / Qiang Wu et al. | DOAJ | 2021
    Schlagwörter: deep learning

    AI-Based GEVs Mobility Estimation and Battery Aging Quantification Method

    Li, Shuangqi / Gu, Chenghong | Springer Verlag | 2022
    Schlagwörter: Deep learning

    AI-based movement planning for autonomous and teleoperated vehicles including the development of a simulation environment an intelligent agent

    Freier Zugriff
    Thomas Nützel | BASE | 2018
    Schlagwörter: Deep Learning

    AI-based neural network models for bus passenger demand forecasting using smart card data

    Freier Zugriff
    Sohani Liyanage / Rusul Abduljabbar / Hussein Dia et al. | DOAJ | 2022
    Schlagwörter: Deep learning

    AI-based Parameter Optimization Method

    Applied for Vehicles with Dual Clutch Transmissions
    Schmiedt, Marius / Pawlenka, Andreas / Rinderknecht, Stephan | Springer Verlag | 2022
    Schlagwörter: Deep Learning

    Air cargo transport demand forecasting using ConvLSTM2D, an artificial neural network architecture approach

    Gerardo Muros Anguita, Juan / Díaz Olariaga, Oscar | Elsevier | 2023
    Schlagwörter: Deep learning

    AI, Robotics and Automation meet Archaeology

    Freier Zugriff
    Verhoeven, Geert Julien | BASE | 2018
    Schlagwörter: Deep learning

    Airport surface movement prediction and safety assessment with spatial–temporal graph convolutional neural network

    Zhang, Xiaoge / Zhong, Sanqiang / Mahadevan, Sankaran | Elsevier | 2022
    Schlagwörter: Deep learning

    Air traffic density prediction using Bayesian ensemble graph attention network (BEGAN)

    Xu, Qihang / Pang, Yutian / Liu, Yongming | Elsevier | 2023
    Schlagwörter: Deep learning

    AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods

    Li, Huanhuan / Jiao, Hang / Yang, Zaili | Elsevier | 2023
    Schlagwörter: Deep learning

    A Kinematic Bottleneck Approach for Pose Regression of Flexible Surgical Instruments Directly from Images

    Freier Zugriff
    Sestini L. / Rosa B. / De Momi E. et al. | BASE | 2021
    Schlagwörter: deep learning methods

    A Large-Scale Measurement and Quantitative Analysis Method of Façade Color in the Urban Street Using Deep Learning

    Freier Zugriff
    Zhang, Jiaxin / Fukuda, Tomohiro / Yabuki, Nobuyoshi | Springer Verlag | 2021
    Schlagwörter: Deep learning

    ALICE - Artificial Intelligence Catheter. Towards Autonomous Closed Loop Control of Passive Endovascular Catheters Based on Deep Reinforcement Learning: Poster presented at Emerging Learning Techniques for Robotics, Workshop at the Hamlyn Symposium on Medical Robotics, 26th June 2019, London

    Freier Zugriff
    Karstensen, Lennart / Pusch, Tim Philipp / Siegfarth, Marius et al. | BASE | 2019
    Schlagwörter: deep learning

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