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

1–20 von 46 Ergebnissen
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    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)

    Short-term prediction of airway congestion index using machine learning methods

    Yang, Zhao / Tang, Rong / Zeng, Weili et al. | Elsevier | 2021
    Schlagwörter: Short-term prediction , Long short-term memory network , Graph convolutional 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

    A deep residual convolutional neural network for mineral classification

    Agrawal, Neelam / Govil, Himanshu | Elsevier | 2022
    Schlagwörter: Convolutional neural networks , 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

    Photometric space object classification via deep learning algorithms

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

    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

    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

    H-ConvLSTM-based bagging learning approach for ride-hailing demand prediction considering imbalance problems and sparse uncertainty

    Chen, Zhiju / Liu, Kai / Wang, Jiangbo et al. | Elsevier | 2022
    Schlagwörter: Hexagonal convolutional long short-term memory (H-ConvLSTM)

    A data-driven lane-changing model based on deep learning

    Xie, Dong-Fan / Fang, Zhe-Zhe / Jia, Bin et al. | Elsevier | 2019
    Schlagwörter: Long short-term memory

    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

    A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data

    Bogaerts, Toon / Masegosa, Antonio D. / Angarita-Zapata, Juan S. et al. | Elsevier | 2020
    Schlagwörter: Graph convolutional network , Long term , Short term

    A stepwise interpretable machine learning framework using linear regression (LR) and long short-term memory (LSTM): City-wide demand-side prediction of yellow taxi and for-hire vehicle (FHV) service

    Kim, Taehooie / Sharda, Shivam / Zhou, Xuesong et al. | Elsevier | 2020
    Schlagwörter: Short-term demand forecasting , Long short-term memory (LSTM)

    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

    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

    A proactive lane-changing risk prediction framework considering driving intention recognition and different lane-changing patterns

    Shangguan, Qiangqiang / Fu, Ting / Wang, Junhua et al. | Elsevier | 2021
    Schlagwörter: Long Short-term Memory (LSTM)

    A shock wave diagram based deep learning model for early alerting an upcoming public event

    Yang, Hanyi / Du, Lili / Mohammadi, Jamshid | Elsevier | 2020
    Schlagwörter: Long-short term memory

    A LSTM assisted orbit determination algorithm for spacecraft executing continuous maneuver

    Zhou, Xingyu / Qin, Tong / Ji, Mingjiang et al. | Elsevier | 2022
    Schlagwörter: 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: Long Short-Term Memory

    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