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

1–20 von 167 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)

    Learning-based slip detection for robotic fruit grasping and manipulation under leaf interference

    Freier Zugriff
    Zhou, Hongyu / Xiao, Jinhui / Kang, Hanwen et al. | BASE | 2022
    Schlagwörter: long-short-term memory (LSTM)

    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)

    Short-Term Traffic Flow Prediction of Expressway Considering Spatial Influences

    Shuai, Chunyan / Wang, WenCong / Xu, Geng et al. | ASCE | 2022
    Schlagwörter: Short-term traffic flow forecast , Long short-term memory (LSTM)

    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)

    Floating Car Data–Based Short-Term Travel Time Forecasting with Deep Recurrent Neural Networks Incorporating Weather Data

    Walch, Manuel / Neubauer, Matthias / Schildorfer, Wolfgang | ASCE | 2023
    Schlagwörter: Long short-term memory (LSTM) , Short-term traffic forecasting

    A dynamic method to predict driving risk on sharp curves using multi-source data

    Ma, Yongfeng / Wang, Fan / Chen, Shuyan et al. | Elsevier | 2023
    Schlagwörter: Long short-term memory (LSTM) algorithm

    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)

    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

    Artificial neural network models for airport capacity prediction

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

    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)

    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 , LSTM , Convolutional 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 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)

    Network-Scale Passenger Flow Forecasting Methods in URT Based on Similarity Measurement

    Wang, Bao / Luo, Xia / Wang, Zongwei et al. | ASCE | 2023
    Schlagwörter: Long short-term memory (LSTM)

    Long short-term memory network-based emission models for conventional and new energy buses

    Sun, Zhuoqun / Wang, Chao / Ye, Zhirui et al. | Taylor & Francis Verlag | 2021
    Schlagwörter: long short-term memory

    Multilevel Monitoring System for Road Networks: Anomaly Detection at the Network and Road-Segment Levels

    Behrooz, Hojat / Ilbeigi, Mohammad | ASCE | 2024
    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

    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: Long short-term memory (LSTM) neural network