1–20 von 86 Ergebnissen
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    Prediction of Nonlinear Stiffness of Automotive Bushings by Artificial Neural Network Models Trained by Data from Finite Element Analysis

    Jung, Yeon-Woo / Kim, Heung-Kyu | Springer Verlag | 2020
    Schlagwörter: Artificial Neural Network , Convolutional Neural Network

    A Convolution Neural Network Based VANET Traffic Control System in a Smart City

    Mathiane, Malose / Tu, Chunling / Adewale, Pius et al. | Springer Verlag | 2024
    Schlagwörter: Vehicular Adhoc Network , Convolutional Neural Network

    Electric Vehicle Battery State of Charge Prediction Based on Graph Convolutional Network

    Kim, Geunsu / Kang, Soohyeok / Park, Gyudo et al. | Springer Verlag | 2023
    Schlagwörter: Neural network , Graph convolutional network

    Smart Life Saving Navigation System for Emergency Vehicles

    Deva Priya, M. / Christy Jeba Malar, A. / Lavanya, G. et al. | Springer Verlag | 2020
    Schlagwörter: Convolutional Neural Network , Fast Region-based Convolutional Network

    Drowsy Driving Detection Based on Deep Neural Network for Accident Avoidance

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

    Damage Detection of Rail Fastening System Through Deep Learning and Vehicle-Track Coupled Dynamics

    Yuan, Zhandong / Zhu, Shengyang / Zhai, Wanming | Springer Verlag | 2020
    Schlagwörter: Convolutional neural network

    Expressway Short-Term Traffic Flow Prediction Based on CNN-LSTM

    Ye, Ting / Zou, Fumin / Guo, Feng | Springer Verlag | 2024
    Schlagwörter: Convolutional Neural Network

    Analysis of the Architecture of Perceiving a Dynamic Environment for an Unmanned Aerial Vehicle

    Pohudina, Olha / Kovalevskyi, Mykhailo / Naso, David et al. | Springer Verlag | 2023
    Schlagwörter: 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

    Using Deep Neural Networks to Separate Entangled Workpieces in Random Bin Picking

    Moosmann, Marius / Spenrath, Felix / Mönnig, Manuel et al. | Springer Verlag | 2021
    Schlagwörter: Convolutional neural network

    Enabling Single-Sensor Simultaneous Condition Monitoring of Several Vibration-Emitting Machine Parts Using Neural Networks

    Freier Zugriff
    Seitz, Andreas / Liebgott, Florian / Rotter, Dominik et al. | Springer Verlag | 2023
    Schlagwörter: convolutional neural network

    Research on Target Detection Based on Deep Learning

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

    Autoregressive Model-Based Structural Damage Identification and Localization Using Convolutional Neural Networks

    Tang, Qizhi / Zhou, Jianting / Xin, Jingzhou et al. | Springer Verlag | 2020
    Schlagwörter: Convolutional neural network

    Autonomous Driving Through Road Segmentation Based on Computer Vision Techniques

    Jain, Aditi / Harper, Matthew / Jayabalan, Manoj et al. | Springer Verlag | 2023
    Schlagwörter: Deep convolutional neural network , Fully convolutional network

    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

    CNN-Based Intelligent 3D Path Planning Algorithm in the Framework of the Improved Lazy Theta*

    Yin, Yuwan / Ning, Xin | Springer Verlag | 2022
    Schlagwörter: Convolutional neural network

    Two-Stage Robotic Bin Picking of Small Metallic Objects

    Freier Zugriff
    Herbert, Meike / Bach, Paul / Lieret, Markus et al. | Springer Verlag | 2023
    Schlagwörter: Convolutional neural network

    Bearing Fault Diagnosis Method Based on Vision Measurement and Convolutional Neural Network

    Chao, Shan / Peng, Cong | Springer Verlag | 2021
    Schlagwörter: Convolutional neural network

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

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

    Research on Autonomous Landing Method of Flying Vehicle Based on Deep Learning

    Xiulin, Zhang / Chong, Zhen / Lei, Quxiao et al. | Springer Verlag | 2023
    Schlagwörter: Convolutional neural network