81–100 von 124 Ergebnissen
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    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

    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

    Simulated Evaluation of Navigation System for Multi-quadrotor Coordination in Search and Rescue

    Rafikh, Rayyan Muhammad / D’Souza, Jeane Marina | Springer Verlag | 2023
    Schlagwörter: Convolutional neural network , Deep learning

    Recent Advances in Computer Vision Technologies for Lane Detection in Autonomous Vehicles

    Anto, Harshitha Devina / Malathi, G. / Kumar, G. Bharadwaja et al. | Springer Verlag | 2023
    Schlagwörter: Convolutional neural networks (CNN) , Recurrent neural network (RNN) , Region-based convolutional neural network (RCNN) , Deep reinforcement learning , Deep Q learning (DQLL) , Semantic segmentation network , 3D network models

    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

    Ultra-Wideband Localization and Deep-Learning-Based Plant Monitoring Using Micro Air Vehicles

    Ching, Poh Ling / Tan, Shu Chuan / Ho, Hann Woei | AIAA | 2022
    Schlagwörter: Deep Convolutional Neural Network

    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

    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

    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

    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)

    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

    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

    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

    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

    Vision‐based vehicle behaviour analysis: a structured learning approach via convolutional neural networks

    Freier Zugriff
    Mou, Luntian / Xie, Haitao / Mao, Shasha et al. | Wiley | 2020
    Schlagwörter: structured convolutional neural networks model , overfitting‐preventing deep neural network , convolutional neural nets

      Vision-based vehicle behaviour analysis: a structured learning approach via convolutional neural networks

      Freier Zugriff
      Mou, Luntian / Xie, Haitao / Mao, Shasha et al. | IET | 2020
      Schlagwörter: convolutional neural nets , structured convolutional neural networks model , overfitting-preventing deep neural network

    Driver identification using 1D convolutional neural networks with vehicular CAN signals

    Freier Zugriff
    Hu, Hongyu / Liu, Jiarui / Gao, Zhenhai et al. | Wiley | 2020
    Schlagwörter: vehicular controller area network bus signals , 1D convolutional neural networks , deep learning framework , convolutional neural nets , one‐dimensional convolutional neural network , convolutional‐pooling layers

      Driver identification using 1D convolutional neural networks with vehicular CAN signals

      Freier Zugriff
      Hu, Hongyu / Liu, Jiarui / Gao, Zhenhai et al. | IET | 2021
      Schlagwörter: convolutional neural nets , convolutional-pooling layers , one-dimensional convolutional neural network , 1D convolutional neural networks , vehicular controller area network bus signals , deep learning framework

    Near-Infrared Vascular Image Enhancement Using Deep Convolutional Neural Network

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