Synonyme wurden verwendet für: Deep learning
Suche ohne Synonyme: keywords:("Deep learning")

1–20 von 40 Ergebnissen
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    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

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

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

    Video-based trajectory extraction with deep learning for High-Granularity Highway Simulation (HIGH-SIM)

    Freier Zugriff
    Xiaowei Shi / Dongfang Zhao / Handong Yao et al. | DOAJ | 2021
    Schlagwörter: Deep learning

    Smart IoT‐Enabled Traffic Sign Recognition With High Accuracy (TSR‐HA) Using Deep Learning

    Pradeep, Kumar S. / Jayanthi, K. / Selvakumari, S. | Wiley | 2022
    Schlagwörter: deep learning

    A Deep Architecture Combining CNNS and GRBMS for Traffic Speed Prediction

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

    Detection of Motorcycle Headlights Using YOLOv5 and HSV

    Freier Zugriff
    Vessa Rizky Oktavia / Ahmad Wali Satria Bahari Johan / Whisnumurty Galih Ananta et al. | DOAJ | 2023
    Schlagwörter: Deep Learning

    Research on Target Tracking Technology of UAV in Distribution Network Based on Deep Learning

    Wan, Dai / Peng, Simin / Zhao, Miao et al. | Springer Verlag | 2023
    Schlagwörter: Deep Learning

    Review of Challenges for Short-Term Vehicular Traffic Forecasting

    Khairnar, Hitendra S. / Sonkamble, B. A. | Springer Verlag | 2021
    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

    Track Defect Recognition Algorithm Based on Deep Learning

    Fang, Enquan / Yang, Kunshan / Zeng, Ming | Springer Verlag | 2022
    Schlagwörter: Deep learning

    Recognition of Remote and Small Intrusion Targets Around High-Speed Railway Based on Deep Learning Method

    Lu, Mengting / Xie, Zhengyu | Springer Verlag | 2023
    Schlagwörter: Deep learning

    Artificial Intelligence Empowered Models for UAV Communications

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

    Railway Perimeter Disaster Image Monitoring Method Based on YOLOV4_Lite

    Ren, Weitao / Xie, Zhengyu / Qin, Yong et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning

    Neural Networks and Advanced Algorithms for Intelligent Monitoring in Industry

    Schmid, Philipp A. E. / Steinecker, Alexander / Sun, Jianwen et al. | Springer Verlag | 2019
    Schlagwörter: Deep learning

    Fast Obstacle Detection Platform Based on Yolo

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

    Detection Approach Based on an Improved Yolov5 for Catenary Support Components

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

    Vehicle detection systems for intelligent driving using deep convolutional neural networks

    Freier Zugriff
    Rahib Abiyev / Murat Arslan | DOAJ | 2023
    Schlagwörter: Deep learning

    Real-Time Train Detection Based on Improved Single Shot MultiBox Detector

    Xu, Yuchuan / Gao, Chunhai / Yuan, Lei et al. | Springer Verlag | 2020
    Schlagwörter: Deep learning

    Recognition of UAV Image Transmission Signal via Deep Learning Methods

    Zhang, Shunjie / Wei, Wang / Jun, Zhang | Springer Verlag | 2023
    Schlagwörter: Deep learning

    New Text Detection Technique Using Machine Learning Architecture

    Agarwal, Samriddhi / Rahul, Perepi / Neetu | Springer Verlag | 2022
    Schlagwörter: Deep learning