Synonyme wurden verwendet für: memory term
Suche ohne Synonyme: keywords:(long-short term memory neural networks)

1–20 von 92 Ergebnissen
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    A deep residual convolutional neural network for mineral classification

    Agrawal, Neelam / Govil, Himanshu | Elsevier | 2022
    Schlagwörter: Convolutional neural networks , Long short term memory

    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: Short-term demand forecasting , Fusion convolutional long short-term memory network (FCL-Net) , Long short-term memory (LSTM) , Convolutional neural network (CNN)

    Long short-term memory neural network for traffic speed prediction using remote microwave sensor data

    Ma, Xiaolei / Tao, Zhimin / Wang, Yinhai et al. | Elsevier | 2015
    Schlagwörter: Neural networks , Long short-term neural network

    Artificial neural network models for airport capacity prediction

    Choi, Sun / Kim, Young Jin | Elsevier | 2021
    Schlagwörter: Artificial neural networks , Recurrent neural networks (RNN) , Long short-term memory (LSTM)

    Short-term prediction of lane-level traffic speeds: A fusion deep learning model

    Gu, Yuanli / Lu, Wenqi / Qin, Lingqiao et al. | Elsevier | 2019
    Schlagwörter: Short-term prediction , Long short-term memory neural network , Gated recurrent unit neural network

    Deep learning-based Structural Health Monitoring for damage detection on a large space antenna

    Iannelli, Paolo / Angeletti, Federica / Gasbarri, Paolo et al. | Elsevier | 2021
    Schlagwörter: Long short-term memory neural networks

    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

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

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

    Direct generation of level of service maps from images using convolutional and long short-term memory networks

    Li, Yan / Khoshelham, Kourosh / Sarvi, Majid et al. | Taylor & Francis Verlag | 2019
    Schlagwörter: convolutional neural network , long short-term memory

    An advanced deep learning approach to real-time estimation of lane-based queue lengths at a signalized junction

    Lee, Seunghyeon / Xie, Kun / Ngoduy, Dong et al. | Elsevier | 2019
    Schlagwörter: Long short-term memory network , Convolutional neural network

    A long short-term memory-based framework for crash detection on freeways with traffic data of different temporal resolutions

    Jiang, Feifeng / Yuen, Kwok Kit Richard / Lee, Eric Wai Ming | Elsevier | 2020
    Schlagwörter: Long short-term memory networks

    Ego-Vehicle Speed Prediction Using a Long Short-Term Memory Based Recurrent Neural Network

    Yeon, Kyuhwan / Min, Kyunghan / Shin, Jaewook et al. | Springer Verlag | 2019
    Schlagwörter: Recurrent neural network , Long short-term memory

    A recurrent-neural-network-based generalized ground-motion model for the Chilean subduction seismic environment

    Freier Zugriff
    Fayaz, J / Medalla, M / Torres-Rodas, P et al. | BASE | 2023
    Schlagwörter: Recurrent neural networks , Long short-term memory

    Photometric space object classification via deep learning algorithms

    Liu, Tong / Schreiber, K. Ulrich | Elsevier | 2021
    Schlagwörter: Deep neural network , Convolutional long short-term memory network

    Developing Machine learning models for hyperlocal traffic related particulate matter concentration mapping

    Desai, Salil / Tayarani, Mohammad / Oliver Gao, H. | Elsevier | 2022
    Schlagwörter: Convolutional Neural Network , Convolutional 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

    A LSTM assisted orbit determination algorithm for spacecraft executing continuous maneuver

    Zhou, Xingyu / Qin, Tong / Ji, Mingjiang et al. | Elsevier | 2022
    Schlagwörter: Neural network , Long short-term memory

    Predicting PM10 and PM2.5 concentration in container ports: A deep learning approach

    Park, So-Young / Woo, Su-Han / Lim, Changwon | Elsevier | 2022
    Schlagwörter: Recurrent Neural Network , Long Short-Term Memory

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

    Freier Zugriff
    Bonyani, Mahdi / Rahmanian, Mina / Jahangard, Simindokht et al. | Wiley | 2023
    Schlagwörter: deep neural networks , long shortterm memory

    A new proposal for the prediction of an aircraft engine fuel consumption: a novel CNN-BiLSTM deep neural network model

    Metlek, Sedat | Emerald Group Publishing | 2023
    Schlagwörter: Convolutional neural network , Long short term memory