11–19 von 19 Ergebnissen
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    Predicting Mechanical State of High-Speed Railway Elevated Station Track System Using a Hybrid Prediction Model

    Ma, Zhuoran / Gao, Liang | Springer Verlag | 2021
    Schlagwörter: Convolutional neural network

    Recognition Optimization of License Plate Targets Based on Improved Neural Network Model

    Jiang, Xiaomin / Lai, Yingxin / Song, Yue et al. | Springer Verlag | 2021
    Schlagwörter: 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 convolutional neural network

    Improving the Accuracy of Traffic Accident Prediction Models on Expressways by Considering Additional Information

    Wakatsuki, Yuki / Tatebe, Jumpei / Xing, Jian | Springer Verlag | 2022
    Schlagwörter: Convolutional neural network

    Space-Based Sensor Tasking Using Deep Reinforcement Learning

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

    Image-based Concrete Cracks Identification under Complex Background with Lightweight Convolutional Neural Network

    Meng, Qingcheng / Hu, Lei / Wan, Da et al. | Springer Verlag | 2023
    Schlagwörter: Lightweight convolutional neural network

    One-Class Convolutional Neural Network (OC-CNN) Model for Rapid Bridge Damage Detection Using Bridge Response Data

    Yessoufou, Fadel / Zhu, Jinsong | Springer Verlag | 2023
    Schlagwörter: 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