81–100 von 123 Ergebnissen
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    Automated Aerial Docking System Using Onboard Vision-Based Deep Learning

    Choi, Andrew Jaeyong / Park, Jeonghwan / Han, Jae-Hung | AIAA | 2022
    Schlagwörter: Deep Convolutional Neural Network

    Inverse Design of Airfoil Using a Deep Convolutional Neural Network

    Sekar, Vinothkumar / Zhang, Mengqi / Shu, Chang et al. | AIAA | 2019
    Schlagwörter: Deep Convolutional Neural Network

    Automated visual inspection of target parts for train safety based on deep learning

    Freier Zugriff
    Zhou, Fuqiang / Song, Ya / Liu, Liu et al. | Wiley | 2018
    Schlagwörter: composite neural network , neural nets , stacked auto‐encoder convolutional neural network , deep learning

      Automated visual inspection of target parts for train safety based on deep learning

      Freier Zugriff
      Zhou, Fuqiang / Song, Ya / Liu, Liu et al. | IET | 2018
      Schlagwörter: neural nets , composite neural network , deep learning , stacked auto-encoder convolutional neural network

    Attendance and Security System Based on Building Video Surveillance

    Sun, Kailai / Zhao, Qianchuan / Zou, Jianhong et al. | Springer Verlag | 2019
    Schlagwörter: Deep learning , Convolutional neural network

    Extensive exploration of comprehensive vehicle attributes using D-CNN with weighted multi-attribute strategy

    Freier Zugriff
    Yan, Zhuo / Feng, Youji / Cheng, Cheng et al. | IET | 2017
    Schlagwörter: feedforward neural nets , deep convolutional neural network

      Extensive exploration of comprehensive vehicle attributes using D‐CNN with weighted multi‐attribute strategy

      Freier Zugriff
      Yan, Zhuo / Feng, Youji / Cheng, Cheng et al. | Wiley | 2018
      Schlagwörter: deep convolutional neural network , feedforward neural nets

    Innovative method for traffic data imputation based on convolutional neural network

    Freier Zugriff
    Zhuang, Yifan / Ke, Ruimin / Wang, Yinhai | IET | 2018
    Schlagwörter: feedforward neural nets , convolutional neural network , deep-learning method

      Innovative method for traffic data imputation based on convolutional neural network

      Freier Zugriff
      Zhuang, Yifan / Ke, Ruimin / Wang, Yinhai | Wiley | 2019
      Schlagwörter: convolutional neural network , deep‐learning method , feedforward neural nets

    Accident Detection in Surveillance Camera

    Adil, A. P. / Anandhu, M. G. / Joy, Jeovan Elsa et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning , Convolutional neural network

    Near-Infrared Vascular Image Enhancement Using Deep Convolutional Neural Network

    Li, Yajie / Liu, Haoting / Wang, Yuan | Springer Verlag | 2022
    Schlagwörter: Deep Convolutional Neural Network

    Lateral distance detection model based on convolutional neural network

    Freier Zugriff
    Zhang, Xiang / Yang, Wei / Tang, Xiaolin et al. | IET | 2018
    Schlagwörter: deep learning model , neural nets , convolutional neural network , improved image quilting algorithm

      Lateral distance detection model based on convolutional neural network

      Freier Zugriff
      Zhang, Xiang / Yang, Wei / Tang, Xiaolin et al. | Wiley | 2019
      Schlagwörter: improved image quilting algorithm , neural nets , convolutional neural network , deep learning model

    Deep learning based automatic vertical height adjustment of incorrectly fastened seat belts for driver and passenger safety in fleet vehicles

    Şener, Arif Şenol / Ince, Ibrahim Furkan / Baydargil, Husnu Baris et al. | SAGE Publications | 2022
    Schlagwörter: convolutional neural network , deep learning

    Beach Wrack Identification on Unmanned Aerial Vehicles Dataset Using Artificial Intelligence for Coastal Environmental Management

    Adimoolam, M. / Maithili, K. / Leelavathy, S. et al. | Springer Verlag | 2023
    Schlagwörter: Back propagation workflow based convolutional neural network , Deep learning

    Prediction of the superiority of the hydrodynamic performance of hull forms using deep learning

    Freier Zugriff
    Jin-Hyeok Kim / Myung-Il Roh / Ki-Su Kim et al. | DOAJ | 2022
    Schlagwörter: Deep learning , Convolutional Neural Network (CNN)

    Anomaly Detection for Agile Satellite Attitude Control System Using Hybrid Deep-Learning Technique

    Mohamed, Moamen Ibrahim / Badran, Khaled Mahmoud / Hussien, Ahmed Esmat | AIAA | 2023
    Schlagwörter: One Dimensional Convolutional Neural Network , Deep Learning

    Vehicle Color Recognition With Spatial Pyramid Deep Learning

    Hu, Chuanping | Online Contents | 2015
    Schlagwörter: deep learning , convolutional neural network (CNN) , Neural networks

    Hyper-parameters optimisation of deep CNN architecture for vehicle logo recognition

    Freier Zugriff
    Soon, Foo Chong / Khaw, Hui Ying / Chuah, Joon Huang et al. | IET | 2018
    Schlagwörter: deep convolutional neural network architecture , network convergence , feedforward neural nets , deep CNN architecture

      Hyper‐parameters optimisation of deep CNN architecture for vehicle logo recognition

      Freier Zugriff
      Soon, Foo Chong / Khaw, Hui Ying / Chuah, Joon Huang et al. | Wiley | 2018
      Schlagwörter: deep CNN architecture , deep convolutional neural network architecture , network convergence , feedforward neural nets

    Role of Machine Learning and Deep Learning Applications in the Internet of Things (IoT) Security

    Mon, S. Feslin Anish / Jones, G. Maria / Winster, S. Godfrey | Springer Verlag | 2023
    Schlagwörter: Deep learning in IoT , Convolutional neural network , Deep auto encoders

    Development of Computer Vision Models for Drivable Region Detection in Snow Occluded Lane Lines

    Kadav, Parth / Sharma, Sachin / Araghi, Farhang Motallebi et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning , Convolutional neural network

    Space Objects Classification via Light-Curve Measurements Using Deep Convolutional Neural Networks

    Linares, Richard / Furfaro, Roberto / Reddy, Vishnu | Springer Verlag | 2020
    Schlagwörter: Deep learning , Convolutional neural network

    Identification of Partially Resolved Objects in Space Imagery with Convolutional Neural Networks

    Ertl, Christopher A. / Christian, John A. | Springer Verlag | 2020
    Schlagwörter: Deep learning , Convolutional neural network

    Deep learning‐based vehicle detection with synthetic image data

    Freier Zugriff
    Wang, Ye / Deng, Weiwen / Liu, Zhenyi et al. | Wiley | 2019
    Schlagwörter: convolutional neural network‐based object detectors , deep learning‐based vehicle detection , neural nets

      Deep learning-based vehicle detection with synthetic image data

      Freier Zugriff
      Wang, Ye / Deng, Weiwen / Liu, Zhenyi et al. | IET | 2019
      Schlagwörter: convolutional neural network-based object detectors , neural nets , deep learning-based vehicle detection