41–60 of 122 hits
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    RSIn-Dataset: An UAV-Based Insulator Detection Aerial Images Dataset and Benchmark

    Free access
    Feng Shuang / Sheng Han / Yong Li et al. | DOAJ | 2023
    Keywords: deep learning , convolutional neural network

    An Intrusion Detection Model for Drone Communication Network in SDN Environment

    Free access
    Liang Kou / Shanshuo Ding / Ting Wu et al. | DOAJ | 2022
    Keywords: software defined network , deep learning , convolutional neural networks , deep auto-encoder

    A Modified YOLOv4 Deep Learning Network for Vision-Based UAV Recognition

    Free access
    Farzaneh Dadrass Javan / Farhad Samadzadegan / Mehrnaz Gholamshahi et al. | DOAJ | 2022
    Keywords: convolutional neural network CNN , YOLO deep learning

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

    Free access
    Young J. / Basile V. / Suchi M. et al. | BASE | 2017
    Keywords: Convolutional Neural Network , Deep vision

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

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

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

    Free access
    Rahman, Md. Hishamur / Rifaat, Shakil Mohammad | Wiley | 2021
    Keywords: Neural nets , convolutional neural network , deep learning , recurrent neural network

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

    Free access
    Zhang, Jinlei / Chen, Feng / Guo, Yinan et al. | IET | 2020
    Keywords: 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

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

    Deep Learning-Based Damage Detection from Aerial SfM Point Clouds

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

    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
    Keywords: Deep learning , Deep convolutional neural network

    A Ligthweight Wayfinding Assistance System for IoT Applications

    Free access
    Afif, Mouna / Ayachi, Riadh / Atri, Mohamed | BASE | 2021
    Keywords: deep convolutional neural network

    Drowsy Driving Detection Based on Deep Neural Network for Accident Avoidance

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

    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
    Keywords: Graph convolutional deep neural network

    Real-time driving risk assessment using deep learning with XGBoost

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

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

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

    Research on Target Detection Based on Deep Learning

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

    Semantic Damage Segmentation for Aircraft Engine Borescope Videos

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

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

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

    Object detection and recognition with event driven cameras

    Free access
    IACONO, MASSIMILIANO | BASE | 2020
    Keywords: deep learning , spiking neural network , convolutional neural network

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

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

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

    Free access
    Bao, Jie / Yu, Hao / Wu, Jiaming | Wiley | 2019
    Keywords: hybrid deep learning neural network , convolutional neural network , convolutional neural nets , deep learning approach , artificial neural network , recurrent neural nets , hybrid deep learning framework

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

      Free access
      Bao, Jie / Yu, Hao / Wu, Jiaming | IET | 2019
      Keywords: convolutional neural nets , hybrid deep learning framework , artificial neural network , hybrid deep learning neural network , convolutional neural network , deep learning approach , recurrent neural nets