1–20 von 29 Ergebnissen
|

    Adaptive Lane-Departure Prediction Method with Support Vector Machine and Gated Recurrent Unit Models

    Guo, Lie / Qin, Zengke / Ge, Pingshu et al. | ASCE | 2022
    Schlagwörter: Gated recurrent unit (GRU)

    A GRU network framework towards fault-tolerant control for flight vehicles based on a gain-scheduled approach

    Yang, Binxiang / Lu, Pingli / Du, Changkun et al. | Elsevier | 2024
    Schlagwörter: GRU network controller

    ALKIS NW Grundrissdaten

    Freier Zugriff
    Geoportal | Mobilithek | 2024
    Schlagwörter: geobasisnrw-alkis-gru , alkis-gru

    ALKIS NW Historische Grundrissdaten

    Freier Zugriff
    Geoportal | Mobilithek | 2024
    Schlagwörter: geobasisnrw-alkis-gru , alkis-gru

    An Optimally Configured HP-GRU Model Using Hyperband for the Control of Wall Following Robot

    Freier Zugriff
    Rehman Khan, Abdul / Tamoor Khan, Ameer / Salik, Masood et al. | BASE | 2021
    Schlagwörter: GRU

    Characteristics Analysis and Modeling of Traffic Flow in Diversion Area

    Song, Xiangxi | Springer Verlag | 2023
    Schlagwörter: GRU Model

    Combining weather condition data to predict traffic flow: a GRU‐based deep learning approach

    Freier Zugriff
    Zhang, Da / Kabuka, Mansur R. | Wiley | 2018
    Schlagwörter: GRU‐based deep learning approach

      Combining weather condition data to predict traffic flow: a GRU-based deep learning approach

      Freier Zugriff
      Zhang, Da / Kabuka, Mansur R. | IET | 2018
      Schlagwörter: GRU-based deep learning approach

    Comparative Study on the Prediction of City Bus Speed Between LSTM and GRU

    Hwang, Giyeon / Hwang, Yeongha / Shin, Seunghyup et al. | Springer Verlag | 2022
    Schlagwörter: Gated recurrent unit (GRU)

    Data-driven approach for instantaneous vehicle emission predicting using integrated deep neural network

    Howlader, Abdul Motin / Patel, Dilip / Gammariello, Robert | Elsevier | 2023
    Schlagwörter: Gated recurrent unit (GRU)

    Deep Learning Based Models for Annual Rainfall Forecasting: An Empirical Study on Tamil Nadu

    Vanitha, V. / Kumar, M. Sathish / Vishal, L. et al. | Springer Verlag | 2023
    Schlagwörter: GRU

    DLW-Net model for traffic flow prediction under adverse weather

    Yao, Ronghan / Zhang, Wensong / Long, Meng | Taylor & Francis Verlag | 2022
    Schlagwörter: GRU

    Driver Behavior Analysis Based on Numerical Data Using Deep Neural Networks

    Lima, Aklima Akter / Das, Sujoy Chandra / Shahiduzzaman, Md. | Springer Verlag | 2021
    Schlagwörter: Gated recurrent unit (GRU)

    Floating Car Data–Based Short-Term Travel Time Forecasting with Deep Recurrent Neural Networks Incorporating Weather Data

    Walch, Manuel / Neubauer, Matthias / Schildorfer, Wolfgang | ASCE | 2023
    Schlagwörter: Gated recurrent unit (GRU)

    Generic Deep-Learning-Based Time Series Models for Aviation Accident Analysis and Forecasting

    Monika / Verma, Seema / Kumar, Pardeep | Springer Verlag | 2023
    Schlagwörter: GRU

    Modeling pedestrians’ near-accident events at signalized intersections using gated recurrent unit (GRU)

    Zhang, Shile / Abdel-Aty, Mohamed / Wu, Yina et al. | Elsevier | 2020
    Schlagwörter: Gated recurrent unit (GRU)

    Multi-step Time Series Forecasting of Bus Passenger Flow with Deep Learning Methods

    Jiao, Feng / Huang, Lei / Gao, Zetian | Springer Verlag | 2021
    Schlagwörter: GRU

    Optimized Deep Neural Network Based Intelligent Decision Support System for Traffic State Prediction

    Deva Hema, D. / Kumar, K. Ashok | Springer Verlag | 2023
    Schlagwörter: GRU

    Path Following using Frequency Modulated Continuous Wave millimetre-wave Automotive Radar

    Freier Zugriff
    Greisman, Austin | BASE | 2021
    Schlagwörter: GRU

    Prediction of Railway Monthly Freight Volume Based on Grey Incidence Analysis and RNN

    Cao, Yuxin | Springer Verlag | 2022
    Schlagwörter: LSTM; GRU