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

1–19 von 19 Ergebnissen
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    A deep learning traffic flow prediction framework based on multi-channel graph convolution

    Zhao, Yuanmeng / Cao, Jie / Zhang, Hong et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: Long Short-Term Memory (LSTM)

    Hybrid long short-term memory deep learning model and Dijkstra’s Algorithm for fastest travel route recommendation considering eco-routing factors

    B, Praveen Kumar / K, Hariharan / M.S.K., Manikandan | Taylor & Francis Verlag | 2023
    Schlagwörter: Long Short Term Memory (LSTM)

    A model for vessel trajectory prediction based on long short-term memory neural network

    Tang, Huang / Yin, Yong / Shen, Helong | Taylor & Francis Verlag | 2022
    Schlagwörter: Long Short-Term Memory

    Road surface friction prediction using long short-term memory neural network based on historical data

    Pu, Ziyuan / Liu, Chenglong / Shi, Xianming et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: Long-Short Term Memory neural network , short-term prediction

    Deep Learning Architecture for UAV Traffic-Density Prediction

    Freier Zugriff
    Abdulrahman Alharbi / Ivan Petrunin / Dimitrios Panagiotakopoulos | DOAJ | 2023
    Schlagwörter: long short-term memory (LSTM) networks

    A deep neural network approach for pedestrian trajectory prediction considering flow heterogeneity

    Nasr Esfahani, Hossein / Song, Ziqi / Christensen, Keith | Taylor & Francis Verlag | 2023
    Schlagwörter: long-short-term memory

    A data-driven stacking fusion approach for pedestrian trajectory prediction

    Chen, Hao / Zhang, Xi / Yang, Wenyan et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: Attention Mechanism-Long Short-Term Memory Network (Att-LSTM)

    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

    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

    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

    A Hybrid LSTM-CPS Approach for Long-Term Prediction of Train Delays in Multivariate Time Series

    Freier Zugriff
    Jianqing Wu / Bo Du / Qiang Wu et al. | DOAJ | 2021
    Schlagwörter: long short-term memory , long-term prediction

    AntiGPS spoofing method for UAV based on LSTM-KF model

    Freier Zugriff
    SUN Yang, CAO Chunjie / LAI Junxiao, YU Tianjiao | DOAJ | 2020
    Schlagwörter: long short-term memory network

    A GTFS data acquisition and processing framework and its application to train delay prediction

    Freier Zugriff
    Jianqing Wu / Bo Du / Zengyang Gong et al. | DOAJ | 2023
    Schlagwörter: Long short-term memory

    Application of Long Short Term Memory to Predict Flight Delay on Commercial Flights

    Freier Zugriff
    Muhammad Genta Ari Shandi / Rifki Adhitama / Amalia Beladinna Arifa | DOAJ | 2020
    Schlagwörter: departure delay, flight, long short term memory, model, recurrent neural network

    A Multifractal Analysis and Machine Learning Based Intrusion Detection System with an Application in a UAS/RADAR System

    Freier Zugriff
    Ruohao Zhang / Jean-Philippe Condomines / Emmanuel Lochin | DOAJ | 2022
    Schlagwörter: long-short term memory

    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: long short-term memory (LSTM)

    A Path-Planning Method for UAV Swarm under Multiple Environmental Threats

    Freier Zugriff
    Xiangyu Fan / Hao Li / You Chen et al. | DOAJ | 2024
    Schlagwörter: long short-term memory

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

    Freier Zugriff
    Shuo Jia / Fei Hui / Shining Li et al. | DOAJ | 2020
    Schlagwörter: long shortterm memory network

    DIPNet: Driver intention prediction for a safe takeover transition in autonomous vehicles

    Freier Zugriff
    Mahdi Bonyani / Mina Rahmanian / Simindokht Jahangard et al. | DOAJ | 2023
    Schlagwörter: long shortterm memory