41–60 von 123 Ergebnissen
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    A Modified YOLOv4 Deep Learning Network for Vision-Based UAV Recognition

    Freier Zugriff
    Farzaneh Dadrass Javan / Farhad Samadzadegan / Mehrnaz Gholamshahi et al. | DOAJ | 2022
    Schlagwörter: convolutional neural network CNN , YOLO deep learning

    MGFNet: A Progressive Multi-Granularity Learning Strategy-Based Insulator Defect Recognition Algorithm for UAV Images

    Freier Zugriff
    Zhouxian Lu / Yong Li / Feng Shuang | DOAJ | 2023
    Schlagwörter: deep learning , convolutional neural network

    RSIn-Dataset: An UAV-Based Insulator Detection Aerial Images Dataset and Benchmark

    Freier Zugriff
    Feng Shuang / Sheng Han / Yong Li et al. | DOAJ | 2023
    Schlagwörter: deep learning , convolutional neural network

    Making Sense of Indoor Spaces Using Semantic Web Mining and Situated Robot Perception

    Freier Zugriff
    Young J. / Basile V. / Suchi M. et al. | BASE | 2017
    Schlagwörter: Convolutional Neural Network , Deep vision

    Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit

    Freier Zugriff
    Zhang, Jinlei / Chen, Feng / Guo, Yinan et al. | IET | 2020
    Schlagwörter: convolutional neural nets , three-dimensional convolutional neural network , deep-learning technologies , graph convolutional network , multigraph convolutional network

      Multi‐graph convolutional network for short‐term passenger flow forecasting in urban rail transit

      Freier Zugriff
      Zhang, Jinlei / Chen, Feng / Guo, Yinan et al. | Wiley | 2020
      Schlagwörter: multigraph convolutional network , deep‐learning technologies , graph convolutional network , three‐dimensional convolutional neural network , convolutional neural nets

    Using spatio‐temporal deep learning for forecasting demand and supply‐demand gap in ride‐hailing system with anonymised spatial adjacency information

    Freier Zugriff
    Rahman, Md. Hishamur / Rifaat, Shakil Mohammad | Wiley | 2021
    Schlagwörter: Neural nets , convolutional neural network , deep learning , recurrent neural network

    A Ligthweight Wayfinding Assistance System for IoT Applications

    Freier Zugriff
    Afif, Mouna / Ayachi, Riadh / Atri, Mohamed | BASE | 2021
    Schlagwörter: deep convolutional neural network

    Road Type Identification Ahead of the Tire Using D-CNN and Reflected Ultrasonic Signals

    Kim, Min-Hyun / Park, Jongchan / Choi, Seibum | Springer Verlag | 2021
    Schlagwörter: Deep convolutional neural network

    Shrinkage Crack Detection in Expansive Soil using Deep Convolutional Neural Network and Transfer Learning

    Andrushia, A. Diana / Neebha, T. Mary / Umadevi, S. et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning , Deep convolutional neural network

    Real-time driving risk assessment using deep learning with XGBoost

    Shi, Liang / Qian, Chen / Guo, Feng | Elsevier | 2022
    Schlagwörter: Deep learning , Convolutional neural network

    A data-driven traffic modeling for analyzing the impacts of a freight departure time shift policy

    Nadi, Ali / Sharma, Salil / van Lint, J.W.C. et al. | Elsevier | 2022
    Schlagwörter: Graph convolutional deep neural network

    Semantic Damage Segmentation for Aircraft Engine Borescope Videos

    Xiao, Renrui / Wan, Xili / Li, Yifeng et al. | AIAA | 2022
    Schlagwörter: Deep Convolutional Neural Network

    Deep Learning-Based Damage Detection from Aerial SfM Point Clouds

    Freier Zugriff
    Mohammad Ebrahim Mohammadi / Daniel P. Watson / Richard L. Wood | DOAJ | 2019
    Schlagwörter: three-dimensional convolutional neural network , deep learning

    Research on Target Detection Based on Deep Learning

    Liao, Pengjun / Xu, Jinxiang / Guo, Shangkun et al. | Springer Verlag | 2022
    Schlagwörter: Convolutional neural network , Deep learning

    Drowsy Driving Detection Based on Deep Neural Network for Accident Avoidance

    Bandopadhyay, Srijita / Ray, IshanJyoti / Mondal, Shalini et al. | Springer Verlag | 2022
    Schlagwörter: Deep learning , Convolutional neural networks (CNN) , Faster region-based convolutional neural network (F-RCNN)

    A Damage Localization Approach for Rahmen Bridge Based on Convolutional Neural Network

    Lee, Kanghyeok / Byun, Namju / Shin, Do Hyoung | Springer Verlag | 2020
    Schlagwörter: Convolutional neural network , Deep learning

    Deep Learning-Based Real-Time Crack Segmentation for Pavement Images

    Wang, Wenjun / Su, Chao | Springer Verlag | 2021
    Schlagwörter: Deep learning , Convolutional neural network

    Analyzing the opening and closing of windows in residential for predicting the energy consumption using optimized multi-scale convolution networks

    Sivapriya, C. / Subbaiyan, G. | Emerald Group Publishing | 2024
    Schlagwörter: One-dimensional deep convolutional neural network , Deep temporal context network

    Short-term FFBS demand prediction with multi-source data in a hybrid deep learning framework

    Freier Zugriff
    Bao, Jie / Yu, Hao / Wu, Jiaming | IET | 2019
    Schlagwörter: convolutional neural nets , hybrid deep learning framework , artificial neural network , hybrid deep learning neural network , convolutional neural network , deep learning approach , recurrent neural nets

      Short‐term FFBS demand prediction with multi‐source data in a hybrid deep learning framework

      Freier Zugriff
      Bao, Jie / Yu, Hao / Wu, Jiaming | Wiley | 2019
      Schlagwörter: hybrid deep learning neural network , convolutional neural network , convolutional neural nets , deep learning approach , artificial neural network , recurrent neural nets , hybrid deep learning framework

    Development of Real-Time Unmanned Aerial Vehicle Urban Object Detection System with Federated Learning

    Lu, You-Ru / Sun, Dengfeng | AIAA | 2024
    Schlagwörter: Deep Convolutional Neural Network