1–20 von 32 Ergebnissen
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    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

    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

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

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

    DLW-Net model for traffic flow prediction under adverse weather

    Yao, Ronghan / Zhang, Wensong / Long, Meng | Taylor & Francis Verlag | 2022
    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)

    Research on characteristic parameter selection and attention-GRU-based model for braking intention identification

    Li, Xuebo / Ma, Jian / Zhao, Xuan et al. | SAGE Publications | 2024
    Schlagwörter: GRU

    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)

    Research on time sequence prediction of supersonic cascade flow field based on compressed sensing artificial neural network

    Li, Yunfei / Chang, Juntao | Elsevier | 2023
    Schlagwörter: Compressed convolutional - GRU model

    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

    Spatio-temporal deep learning models for tip force estimation during needle insertion

    Freier Zugriff
    Gessert, Nils Thorben / Priegnitz, Torben / Saathoff, Thore et al. | BASE | 2019
    Schlagwörter: Convolutional 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)

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

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

    Track geometry estimation from vehicle–body acceleration for high-speed railway using deep learning technique

    Hao, Xiaoli / Yang, Jian / Yang, Fei et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: Gated recurrent unit (GRU)

    Untripped and Tripped Rollovers with a Neural Network

    Phanomchoeng, Gridsada / Treetipsounthorn, Kailerk / Chantranuwathana, Sunhapos et al. | Springer Verlag | 2023
    Schlagwörter: gated recurrent unit (GRU)

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

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

    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)

    Characteristics Analysis and Modeling of Traffic Flow in Diversion Area

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

    Prediction of Subway Interchange Passenger Flow Based on Recurrent Neural Network Time Characteristic Model

    Chen, Xiao / Chen, Junxi / Liu, Yi et al. | Springer Verlag | 2021
    Schlagwörter: GRU