1–10 von 19 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

    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

    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

    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

    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

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

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

    A Study on Autonomous Intersection Management: Planning-Based Strategy Improved by Convolutional Neural Network

    Zhang, Jian / Jiang, Xia / Liu, Ziyi et al. | Springer Verlag | 2021
    Schlagwörter: Convolutional neural network

    Structural Damage Detection using Deep Convolutional Neural Network and Transfer Learning

    Feng, Chuncheng / Zhang, Hua / Wang, Shuang et al. | Springer Verlag | 2019
    Schlagwörter: deep convolutional neural network

    Prediction of wing buffet pressure loads using a convolutional and recurrent neural network framework

    Freier Zugriff
    Zahn, R. / Weiner, A. / Breitsamter, C. | Springer Verlag | 2024
    Schlagwörter: Convolutional autoencoder , Long short-term memory 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 convolutional neural network