Synonyme wurden verwendet für: Memory
Suche ohne Synonyme: keywords:(Convolutional Long Short-Term Memory)

1–20 von 158 Ergebnissen
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    Vehicle Lane-Changes Trajectory Prediction Model Considering External Parameters

    Freier Zugriff
    Li, Xuchuan / Fan, Lingkun / Chen, Tao et al. | BASE | 2021
    Schlagwörter: long-short term memory

    Vehicle Lane-Changes Trajectory Prediction Model Considering External Parameters

    Freier Zugriff
    Xuchuan Li / Lingkun Fan / Tao Chen et al. | DOAJ | 2021
    Schlagwörter: long-short term memory

    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: Long short term memory , Convolutional LSTM

    Using CNN-LSTM to predict signal phasing and timing aided by High-Resolution detector data

    Islam, Zubayer / Abdel-Aty, Mohamed / Mahmoud, Nada | Elsevier | 2022
    Schlagwörter: Convolutional Neural Network , Long Short-Term Memory

    Urban rail transit passenger flow forecast based on LSTM with enhanced long-term features

    Freier Zugriff
    Yang, Dan / Chen, Kairun / Yang, Mengning et al. | IET | 2019
    Schlagwörter: short-term features , improved model enhanced long-term features , long-short-term memory , long temporal dependency features , long temporal dependence

      Urban rail transit passenger flow forecast based on LSTM with enhanced long‐term features

      Freier Zugriff
      Yang, Dan / Chen, Kairun / Yang, Mengning et al. | Wiley | 2019
      Schlagwörter: shortterm features , long temporal dependence , longshortterm memory , long temporal dependency features , improved model enhanced long‐term features

    UAV-RFID Integration for Construction Resource Localization

    Won, Daeyoun / Chi, Seokho / Park, Man-Woo | Springer Verlag | 2020
    Schlagwörter: Long short-term memory

    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)

    Trajectory Prediction of Port Container Trucks Based on DeepPBM-Attention

    Freier Zugriff
    Haixiong YE / Kairong LUAN / Mei YANG et al. | DOAJ | 2024
    Schlagwörter: deep long short-term memory

    Trajectory-level fog detection based on in-vehicle video camera with TensorFlow deep learning utilizing SHRP2 naturalistic driving data

    Khan, Md Nasim / Ahmed, Mohamed M. | Elsevier | 2020
    Schlagwörter: Long Short-Term Memory , Convolutional Neural Network

    Trajectory based Flight Phase Identification with Machine Learning for Digital Twins

    Arts, E. / Kamtsiuris, A. / Meyer, H. et al. | DataCite | 2021
    Schlagwörter: Long Short-Term Memory

    Traffic Congestion Prediction Based on Long-Short Term Memory Neural Network Models

    Chen, Min / Yu, Guizhen / Chen, Peng et al. | ASCE | 2018
    Schlagwörter: long-short term memory neural networks

    Time-Series fuel consumption prediction assessing delay impacts on energy using vehicular trajectory

    Kabir, Rezwana / Remias, Stephen M. / Waddell, Jonathan et al. | Elsevier | 2023
    Schlagwörter: Long Short-Term Memory (LSTM)

    The Establishment of a Vehicle Climate System Model Based on a Data-Driven Method

    Zhu, Xiangxian / Lou, Yilun / Jiang, Zhao et al. | Springer Verlag | 2023
    Schlagwörter: long-short term memory

    Testing and enhancing spatial transferability of artificial neural networks based travel behavior models

    Koushik, Anil NP / Manoj, M / Nezamuddin, N et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: long short term memory networks

    Surface Electromyography-Controlled Vehicle Braking Assistance System Using Deep Learning

    Tran, Gia Quoc Bao / Wang, Zheng / Yusuke, Koge et al. | Springer Verlag | 2021
    Schlagwörter: Long short-term memory (LSTM)

    Spatial and temporal prediction of secondary crashes combining stacked sparse auto-encoder and long short-term memory

    Li, Haojie / Gao, Qi / Zhang, Ziqian et al. | Elsevier | 2023
    Schlagwörter: Long short-term memory network

    Simultaneous modeling of car-following and lane-changing behaviors using deep learning

    Zhang, Xiaohui / Sun, Jie / Qi, Xiao et al. | Elsevier | 2019
    Schlagwörter: Long Short-Term Memory

    Short-Term Traffic Flow Prediction of Expressway Considering Spatial Influences

    Shuai, Chunyan / Wang, WenCong / Xu, Geng et al. | ASCE | 2022
    Schlagwörter: Short-term traffic flow forecast , Long short-term memory (LSTM)

    Short-term traffic congestion prediction with Conv–BiLSTM considering spatio-temporal features

    Freier Zugriff
    Li, Tao / Ni, Anning / Zhang, Chunqin et al. | IET | 2021
    Schlagwörter: convolutional neural nets , bidirectional long short-term memory , convolutional neural network

      Short‐term traffic congestion prediction with Conv–BiLSTM considering spatio‐temporal features

      Freier Zugriff
      Li, Tao / Ni, Anning / Zhang, Chunqin et al. | Wiley | 2020
      Schlagwörter: convolutional neural network , bidirectional long shortterm memory , convolutional neural nets

    Short-term prediction of traffic flow under incident conditions using graph convolutional recurrent neural network and traffic simulation

    Freier Zugriff
    Fukuda, Shota / Uchida, Hideaki / Fujii, Hideki et al. | IET | 2020
    Schlagwörter: graph convolutional recurrent neural network , short-term memory

      Short‐term prediction of traffic flow under incident conditions using graph convolutional recurrent neural network and traffic simulation

      Freier Zugriff
      Fukuda, Shota / Uchida, Hideaki / Fujii, Hideki et al. | Wiley | 2020
      Schlagwörter: shortterm memory , graph convolutional recurrent neural network