1–20 von 59 Ergebnissen
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    Prediction of pedestrian-vehicle conflicts at signalized intersections based on long short-term memory neural network

    Zhang, Shile / Abdel-Aty, Mohamed / Cai, Qing et al. | Elsevier | 2020
    Schlagwörter: LSTM , Neural network

    Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values

    Cui, Zhiyong / Ke, Ruimin / Pu, Ziyuan et al. | Elsevier | 2020
    Schlagwörter: Recurrent neural network , Bidirectional LSTM , Network-wide traffic prediction

    On the string stability of neural network-based car-following models: A generic analysis framework

    Zhang, Xiaohui / Sun, Jie / Zheng, Zuduo et al. | Elsevier | 2024
    Schlagwörter: Neural network , LSTM

    Predicting traffic demand during hurricane evacuation using Real-time data from transportation systems and social media

    Roy, Kamol Chandra / Hasan, Samiul / Culotta, Aron et al. | Elsevier | 2021
    Schlagwörter: LSTM neural network

    Flexible Working Memory Through Selective Gating and Attentional Tagging

    Freier Zugriff
    Kruijne, Wouter / Bohte, Sander M. / Roelfsema, Pieter R. et al. | BASE | 2021
    Schlagwörter: NETWORK , LSTM

    Transferability improvement in short-term traffic prediction using stacked LSTM network

    Li, Junyi / Guo, Fangce / Sivakumar, Aruna et al. | Elsevier | 2021
    Schlagwörter: Stacked LSTM network

    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 , LSTM

    Safety critical event prediction through unified analysis of driver and vehicle volatilities: Application of deep learning methods

    Arvin, Ramin / Khattak, Asad J. / Qi, Hairong | Elsevier | 2020
    Schlagwörter: LSTM , Neural Network

    Evaluating algorithms for anomaly detection in satellite telemetry data

    Nalepa, Jakub / Myller, Michal / Andrzejewski, Jacek et al. | Elsevier | 2022
    Schlagwörter: Recurrent neural network , LSTM

    Lane-Changing Intention Recognition Based on Multivehicle Interaction Dynamic Graph Modeling in a Connected Environment

    Zhang, Yunchao / Chen, Yanyan / Li, Yongxing et al. | ASCE | 2024
    Schlagwörter: Graph convolutional neural network , Long short-term memory (LSTM) neural network

    LSTM network: a deep learning approach for short‐term traffic forecast

    Freier Zugriff
    Zhao, Zheng / Chen, Weihai / Wu, Xingming et al. | Wiley | 2017
    Schlagwörter: LSTM network , LSTM deep‐learning approach , two‐dimensional network , long‐short‐term memory network

    LSTM network: a deep learning approach for short-term traffic forecast

    Freier Zugriff
    Zhao, Zheng / Chen, Weihai / Wu, Xingming et al. | IET | 2017
    Schlagwörter: two-dimensional network , LSTM deep-learning approach , LSTM network , long-short-term memory network

    Determining Bus Stop Locations using Deep Learning and Time Filtering

    Freier Zugriff
    Piriyataravet, Jitpinun / Kumwilaisak, Wuttipong / Chinrungrueng, Jatuporn et al. | BASE | 2021
    Schlagwörter: bidirectional LSTM , convolutional neural network

    Data-driven approach for instantaneous vehicle emission predicting using integrated deep neural network

    Howlader, Abdul Motin / Patel, Dilip / Gammariello, Robert | Elsevier | 2023
    Schlagwörter: Deep neural network , Long short-term memory (LSTM) , Recurrent neural network (RNN) , Integrated deep neural network

    Traffic flow prediction on urban road network based on License Plate Recognition data: combining attention-LSTM with Genetic Algorithm

    Tang, Jinjun / Zeng, Jie / Wang, Yuwei et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: urban road network , attention–LSTM

    Influence of Reaction Time in the Emotional Response of a Companion Robot to a Child’s Aggressive Interaction

    Freier Zugriff
    Alhaddad A. Y. / Cabibihan J. -J. / Bonarini A. | BASE | 2020
    Schlagwörter: Long short-term memory network (LSTM)

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

    Real-time detection of abnormal driving behavior based on long short-term memory network and regression residuals

    Ma, Yongfeng / Xie, Zhuopeng / Chen, Shuyan et al. | Elsevier | 2022
    Schlagwörter: Long short-term memory (LSTM) network

    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

    Human Motion Pattern Recognition Based on Nano-sensor and Deep Learning

    Freier Zugriff
    Ji, Sha / Lin, Chengde | BASE | 2023
    Schlagwörter: LSTM neural network