Synonyme wurden verwendet für: learning  deep learning
Suche ohne Synonyme: keywords:( deep learning)

1–20 von 45 Ergebnissen
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    A Deep Architecture Combining CNNS and GRBMS for Traffic Speed Prediction

    Tan, Huachun / Zhong, Zhiyu / Wu, Yuankai et al. | ASCE | 2018
    Schlagwörter: Deep learning

    Advancing Short-Term Traffic Congestion Prediction: Navigating Challenges in Learning-Based Approaches

    Wang, Chen / Atkison, Travis / Duan, Qiuhua | Springer Verlag | 2024
    Schlagwörter: Deep Learning , Machine Learning

    An Improved SSD and Its Application in Train Bolt Detection

    Zhang, Jiabing / Su, Zhouyi / Xing, Zongyi | Springer Verlag | 2020
    Schlagwörter: Deep learning

    A Novel Air-Ground Coordinated Approach for UAV Autonomous Landing on a Mobile Platform

    Wang, Jiaqing / Wei, Changyun | Springer Verlag | 2023
    Schlagwörter: Deep reinforcement learning

    Application of Target Detection Algorithms in Railway Intrusion

    Jia, Xingwei / Sun, Yumeng / Xie, Zhengyu | Springer Verlag | 2020
    Schlagwörter: Deep learning

    Artificial Intelligence

    Guo, Zhiwei / Yu, Keping | Springer Verlag | 2021
    Schlagwörter: Machine learning , Machine learning AI , Supervised learning , Unsupervised learning , Semi-supervised learning , Reinforcement learning , Deep learning AI

    Artificial Intelligence Empowered Models for UAV Communications

    Pradhan, Nilanjana / Sille, Roohi / Sagar, Shrddha | Springer Verlag | 2022
    Schlagwörter: Machine learning , Deep learning

    A Survey: Learning-Based Energy Management Strategy for Heterogeneous Multi-energy Drive System

    Ren, Xiaoyu / Zhang, Xinyue / Duan, Dangwei et al. | Springer Verlag | 2020
    Schlagwörter: Reinforcement learning , Deep reinforcement learning

    Autoencoder with Channel Estimation for Marine Communications

    Lin, Bin / Duan, Jianli / Han, Mengqi et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning

    Deep Learning Approaches for IoV Applications and Services

    Alatabani, Lina Elmoiz / Ali, Elmustafa Sayed / Saeed, Rashid A. | Springer Verlag | 2021
    Schlagwörter: Deep learning , Reinforcement learning

    Deep learning methods for automotive radar signal processing

    Pérez González, Rodrigo / Technische Universität München / Eric Cuvillier, Firma | TIBKAT | 2021
    Schlagwörter: Deep learning

      Deep learning methods for automotive radar signal processing

      Pérez González, Rodrigo / Technische Universität München / Eric Cuvillier, Firma | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2021
      Schlagwörter: Deep learning

    Deep Neural Network-Based Prediction of High-Speed Train-Induced Subway Track Vibration

    Wieczorek, Michał / Siłka, Jakub / Woźniak, Marcin | Springer Verlag | 2021
    Schlagwörter: Deep learning , Machine learning

    Defect Detection for Bird-Preventing and Fasteners on the Catenary Support Device Using Improved Faster R-CNN

    Liu, Jiahao / Wu, Yunpeng / Qin, Yong et al. | Springer Verlag | 2020
    Schlagwörter: Deep learning

    Defect Detection for Catenary Sling Based on Image Processing and Deep Learning Method

    Cui, Jing / Wu, Yunpeng / Qin, Yong et al. | Springer Verlag | 2020
    Schlagwörter: Deep learning

    DENSE: Environment Perception in Bad Weather—First Results

    Ritter, Werner / Bijelic, Mario / Gruber, Tobias et al. | Springer Verlag | 2019
    Schlagwörter: Robust learning technique , Deep neural networks for signal enhancement

    Detection Approach Based on an Improved Yolov5 for Catenary Support Components

    Zhao, Ranran / Han, Zhiwei / Liu, Zhigang | Springer Verlag | 2022
    Schlagwörter: Deep learning

    Driving Behavior Analysis Using Deep Learning on GPS Data

    Singh, Saurabh Kumar / Anand, Utkarsh / Patel, Anurag et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning

    Fast Obstacle Detection Platform Based on Yolo

    Ma, Wenhua / Wang, Xin / Wang, Baohua | Springer Verlag | 2022
    Schlagwörter: Deep learning

    Global Ionospheric Total Electron Content Prediction Based on Spatiotemporal Network Model

    Wang, Hongyue / Lin, Xu / Zhang, Qingqing et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning

    Hybride Deep Learning-Verfahren zur Interferenzunterdrückung und hochauflösenden Winkelschätzung für Automobilradaranwendungen

    Fuchs, Jonas / Friedrich-Alexander-Universität Erlangen-Nürnberg | TIBKAT | 2022
    Schlagwörter: Deep learning

      Hybride Deep Learning-Verfahren zur Interferenzunterdrückung und hochauflösenden Winkelschätzung für Automobilradaranwendungen

      Fuchs, Jonas / Friedrich-Alexander-Universität Erlangen-Nürnberg | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2022
      Schlagwörter: Deep learning