1–17 von 17 Ergebnissen
|

    Using long short term memory and convolutional neural networks for driver drowsiness detection

    Quddus, Azhar / Shahidi Zandi, Ali / Prest, Laura et al. | Elsevier | 2021
    Schlagwörter: LSTM , Convolutional LSTM

    A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data

    Bogaerts, Toon / Masegosa, Antonio D. / Angarita-Zapata, Juan S. et al. | Elsevier | 2020
    Schlagwörter: Graph convolutional network , LSTM

    Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach

    Ke, Jintao / Zheng, Hongyu / Yang, Hai et al. | Elsevier | 2017
    Schlagwörter: Fusion convolutional long short-term memory network (FCL-Net) , Long short-term memory (LSTM) , Convolutional neural network (CNN)

    Determining Bus Stop Locations using Deep Learning and Time Filtering

    Freier Zugriff
    Piriyataravet, Jitpinun / Kumwilaisak, Wuttipong / Chinrungrueng, Jatuporn et al. | BASE | 2021
    Schlagwörter: bidirectional LSTM , convolutional neural network

    Lane-Changing Intention Recognition Based on Multivehicle Interaction Dynamic Graph Modeling in a Connected Environment

    Zhang, Yunchao / Chen, Yanyan / Li, Yongxing et al. | ASCE | 2024
    Schlagwörter: Graph convolutional neural network , Long short-term memory (LSTM) neural network

    Learning from the Past: Sequential Deep Learning for Gas Distribution Mapping

    Winkler, Nicolas P. / Kotlyar, Oleksandr / Schaffernicht, Erik et al. | Springer Verlag | 2022
    Schlagwörter: Convolutional LSTM

    Transonic Wing Buffet Load Prediction at Structural Vibration Conditions

    Zahn, R. / Völkl, V. / Zieher, M. et al. | DataCite | 2023
    Schlagwörter: Long Short-Term Memory Neural Network (LSTM) , Convolutional Autoencoder (CNN-AE)

    A Deep-Learning-Based GPS Signal Spoofing Detection Method for Small UAVs

    Freier Zugriff
    Yichen Sun / Mingxin Yu / Luyang Wang et al. | DOAJ | 2023
    Schlagwörter: convolutional neural network (CNN) , long short-term memory (LSTM)

    Convolutional LSTM based transportation mode learning from raw GPS trajectories

    Freier Zugriff
    Nawaz, Asif / Zhiqiu, Huang / Senzhang, Wang et al. | Wiley | 2020
    Schlagwörter: deep learning‐based convolutional long short term memory model , convolutional neural nets , convolutional LSTM‐based transportation mode

    Fatigue driving recognition network: fatigue driving recognition via convolutional neural network and long short‐term memory units

    Freier Zugriff
    Xiao, Zhitao / Hu, Zhiqiang / Geng, Lei et al. | Wiley | 2019
    Schlagwörter: LSTM units , deep convolutional layers , end‐to‐end trainable convolutional neural network

    Fatigue driving recognition network: fatigue driving recognition via convolutional neural network and long short-term memory units

    Freier Zugriff
    Xiao, Zhitao / Hu, Zhiqiang / Geng, Lei et al. | IET | 2019
    Schlagwörter: deep convolutional layers , LSTM units , end-to-end trainable convolutional neural network

    Long short-term memory and convolutional neural network for abnormal driving behaviour recognition

    Freier Zugriff
    Jia, Shuo / Hui, Fei / Li, Shining et al. | IET | 2019
    Schlagwörter: LSTM-CNN , convolutional neural network

    Multi‐step traffic speed prediction model with auxiliary features on urban road networks and its understanding

    Freier Zugriff
    Guo, Jinlong / Song, Chunyue / Zhang, Hao et al. | Wiley | 2020
    Schlagwörter: EGC‐LSTM , graph convolutional network , convolutional neural nets , embedding graph convolutional long short‐term memory network

    Multi-step traffic speed prediction model with auxiliary features on urban road networks and its understanding

    Freier Zugriff
    Guo, Jinlong / Song, Chunyue / Zhang, Hao et al. | IET | 2021
    Schlagwörter: convolutional neural nets , EGC-LSTM , embedding graph convolutional long short-term memory network , graph convolutional network

    Long short‐term memory and convolutional neural network for abnormal driving behaviour recognition

    Freier Zugriff
    Jia, Shuo / Hui, Fei / Li, Shining et al. | Wiley | 2020
    Schlagwörter: convolutional neural network , LSTM‐CNN

    Autoencoder with Channel Estimation for Marine Communications

    Lin, Bin / Duan, Jianli / Han, Mengqi et al. | Springer Verlag | 2022
    Schlagwörter: Convolutional Neural Networks (CNN) , Long Short-Term Memory (LSTM)

    An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors

    Ma, Zhengjing / Mei, Gang / Cuomo, Salvatore | Elsevier | 2021
    Schlagwörter: Convolutional neural networks , LSTM