81–100 von 109 Ergebnissen
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    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

    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. | 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

      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

    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

    Traffic Density Classification for Multiclass Vehicles Using Customized Convolutional Neural Network for Smart City

    Mane, Deepak / Bidwe, Ranjeet / Zope, Bhusan et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning , Convolutional neural network

    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

    Obstacle Avoidance for an Autonomous Robot Car using Deep Learning ; En autonom robotbil undviker hinder med hjälp av djupinlärning

    Freier Zugriff
    Norén, Karl | BASE | 2019
    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

    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

      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

    Deep-Learning Framework for Terminal Airspace Trajectory Prediction and In-Time Prognostics

    Sudarsanan, Varun S. / Kostiuk, Peter F. | AIAA | 2024
    Schlagwörter: Convolutional Neural Network , Deep Learning

    Transonic Wing Buffet Load Prediction at Structural Vibration Conditions

    Zahn, R. / Völkl, V. / Zieher, M. et al. | DataCite | 2023
    Schlagwörter: Long Short-Term Memory Neural Network (LSTM) , Deep Learning , Convolutional Autoencoder (CNN-AE)

    Convolutional LSTM based transportation mode learning from raw GPS trajectories

    Freier Zugriff
    Nawaz, Asif / Zhiqiu, Huang / Senzhang, Wang et al. | Wiley | 2020
    Schlagwörter: convolution neural network , recurrent neural nets , deep learning‐based convolutional long short term memory model , convolutional neural nets , convolutional LSTM‐based transportation mode

    Robot-aided cloth classification using depth information and CNNs

    Freier Zugriff
    Gabas Nova, Antonio / Corona Puyane, Enric / Alenyà Ribas, Guillem et al. | BASE | 2016
    Schlagwörter: neural nets , deep convolutional neural network

    An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors

    Ma, Zhengjing / Mei, Gang / Cuomo, Salvatore | Elsevier | 2021
    Schlagwörter: Deep learning , ANN , Artificial Neural Networks , Convolutional neural networks , Beep Neural Networks

    TrafficNN: CNN-Based Road Traffic Conditions Classification

    Shipu, Monjurur Kader / Mamun, Faisal Al / Razu, Shamim Hossen et al. | Springer Verlag | 2021
    Schlagwörter: Convolutional neural network , Deep learning

    Space-Based Sensor Tasking Using Deep Reinforcement Learning

    Freier Zugriff
    Siew, Peng Mun / Jang, Daniel / Roberts, Thomas G. et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning , Convolutional neural network

    Deep Learning Approach to Detection of Preceding Vehicle in Advanced Driver Assistance

    Forczmański, Paweł / Nowosielski, Adam | Springer Verlag | 2016
    Schlagwörter: Deep learning , Convolutional neural network

    Short-term prediction of traffic flow under incident conditions using graph convolutional recurrent neural network and traffic simulation

    Freier Zugriff
    Fukuda, Shota / Uchida, Hideaki / Fujii, Hideki et al. | IET | 2020
    Schlagwörter: deep learning model , graph convolutional recurrent neural network , neural nets , recurrent neural nets

      Short‐term prediction of traffic flow under incident conditions using graph convolutional recurrent neural network and traffic simulation

      Freier Zugriff
      Fukuda, Shota / Uchida, Hideaki / Fujii, Hideki et al. | Wiley | 2020
      Schlagwörter: recurrent neural nets , neural nets , graph convolutional recurrent neural network , deep learning model