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

1–20 von 45 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)

    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

    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

    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

    HI-SEAS habitat energy requirements and forecasting

    Engler, S.T. / Binsted, K. / Leung, H. | Elsevier | 2019
    Schlagwörter: Long Short Term Memory

    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)

    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 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

    Greenhouse gas emission prediction on road network using deep sequence learning

    Alfaseeh, Lama / Tu, Ran / Farooq, Bilal et al. | Elsevier | 2020
    Schlagwörter: Long-short term memory network (LSTM)

    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

    Photometric space object classification via deep learning algorithms

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

    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)

    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

    Regional sea level changes prediction integrated with singular spectrum analysis and long-short-term memory network

    Zhao, Jian / Cai, Ruiyang / Sun, Weifu | Elsevier | 2021
    Schlagwörter: Long short-term memory (LSTM)

    Aggressive driving behavior prediction considering driver’s intention based on multivariate-temporal feature data

    Xu, Wenxiang / Wang, Junhua / Fu, Ting et al. | Elsevier | 2021
    Schlagwörter: Long short-term memory network

    Artificial neural network models for airport capacity prediction

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

    An improved learning-based LSTM approach for lane change intention prediction subject to imbalanced data

    Shi, Qian / Zhang, Hui | Elsevier | 2021
    Schlagwörter: Long Short Term Memory (LSTM) network

    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