These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

107 related articles for article (PubMed ID: 37095849)

  • 1. Hourly forecasting of traffic flow rates using spatial temporal graph neural networks.
    Belt EA; Koch T; Dugundji ER
    Procedia Comput Sci; 2023; 220():102-109. PubMed ID: 37095849
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Traffic Flow Prediction Model Based on the Combination of Improved Gated Recurrent Unit and Graph Convolutional Network.
    Zhao Y; Han X; Xu X
    Front Bioeng Biotechnol; 2022; 10():804454. PubMed ID: 35237575
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Graph Convolutional Network: Traffic Speed Prediction Fused with Traffic Flow Data.
    Liu D; Xu X; Xu W; Zhu B
    Sensors (Basel); 2021 Sep; 21(19):. PubMed ID: 34640721
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multitask Learning and GCN-Based Taxi Demand Prediction for a Traffic Road Network.
    Chen Z; Zhao B; Wang Y; Duan Z; Zhao X
    Sensors (Basel); 2020 Jul; 20(13):. PubMed ID: 32635669
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep Autoencoder Neural Networks for Short-Term Traffic Congestion Prediction of Transportation Networks.
    Zhang S; Yao Y; Hu J; Zhao Y; Li S; Hu J
    Sensors (Basel); 2019 May; 19(10):. PubMed ID: 31091802
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Spatial-Temporal Attention Mechanism and Graph Convolutional Networks for Destination Prediction.
    Li C; Zhang H; Wang Z; Wu Y; Yang F
    Front Neurorobot; 2022; 16():925210. PubMed ID: 35874108
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Deep Learning Framework About Traffic Flow Forecasting for Urban Traffic Emission Monitoring System.
    Yao B; Ma A; Feng R; Shen X; Zhang M; Yao Y
    Front Public Health; 2021; 9():804298. PubMed ID: 35155353
    [TBL] [Abstract][Full Text] [Related]  

  • 8. MD-GCN: A Multi-Scale Temporal Dual Graph Convolution Network for Traffic Flow Prediction.
    Huang X; Wang J; Lan Y; Jiang C; Yuan X
    Sensors (Basel); 2023 Jan; 23(2):. PubMed ID: 36679639
    [TBL] [Abstract][Full Text] [Related]  

  • 9. City-Wide Traffic Flow Forecasting Using a Deep Convolutional Neural Network.
    Sun S; Wu H; Xiang L
    Sensors (Basel); 2020 Jan; 20(2):. PubMed ID: 31940830
    [TBL] [Abstract][Full Text] [Related]  

  • 10. FASTNN: A Deep Learning Approach for Traffic Flow Prediction Considering Spatiotemporal Features.
    Zhou Q; Chen N; Lin S
    Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146272
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction of Urban Taxi Travel Demand by Using Hybrid Dynamic Graph Convolutional Network Model.
    Zhao J; Kong W; Zhou M; Zhou T; Xu Y; Li M
    Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015740
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multi-Head Spatiotemporal Attention Graph Convolutional Network for Traffic Prediction.
    Oluwasanmi A; Aftab MU; Qin Z; Sarfraz MS; Yu Y; Rauf HT
    Sensors (Basel); 2023 Apr; 23(8):. PubMed ID: 37112181
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Using Mobility Data to Understand and Forecast COVID19 Dynamics.
    Wang L; Ben X; Adiga A; Sadilek A; Tendulkar A; Venkatramanan S; Vullikanti A; Aggarwal G; Talekar A; Chen J; Lewis B; Swarup S; Kapoor A; Tambe M; Marathe M
    medRxiv; 2020 Dec; ():. PubMed ID: 33354685
    [TBL] [Abstract][Full Text] [Related]  

  • 14. CSFPre: Expressway key sections based on CEEMDAN-STSGCN-FCM during the holidays for traffic flow prediction.
    Chen L; Ren Q; Zeng J; Zou F; Luo S; Tian J; Xing Y
    PLoS One; 2023; 18(4):e0283898. PubMed ID: 37018350
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multicomponent Spatial-Temporal Graph Attention Convolution Networks for Traffic Prediction with Spatially Sparse Data.
    Liu S; Dai S; Sun J; Mao T; Zhao J; Zhang H
    Comput Intell Neurosci; 2021; 2021():9134942. PubMed ID: 34976047
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Spatial-Temporal Synchronous Graph Transformer network (STSGT) for COVID-19 forecasting.
    Banerjee S; Dong M; Shi W
    Smart Health (Amst); 2022 Dec; 26():100348. PubMed ID: 36277841
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Intelligent Traffic Flow Prediction and Analysis Based on Internet of Things and Big Data.
    Liu B; Zhang T; Hu W
    Comput Intell Neurosci; 2022; 2022():6420799. PubMed ID: 35755732
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Cross-Attention Fusion Based Spatial-Temporal Multi-Graph Convolutional Network for Traffic Flow Prediction.
    Yu K; Qin X; Jia Z; Du Y; Lin M
    Sensors (Basel); 2021 Dec; 21(24):. PubMed ID: 34960560
    [TBL] [Abstract][Full Text] [Related]  

  • 19. IGAGCN: Information geometry and attention-based spatiotemporal graph convolutional networks for traffic flow prediction.
    An J; Guo L; Liu W; Fu Z; Ren P; Liu X; Li T
    Neural Netw; 2021 Nov; 143():355-367. PubMed ID: 34198207
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An Efficient Short-Term Traffic Speed Prediction Model Based on Improved TCN and GCN.
    Hu Z; Sun R; Shao F; Sui Y
    Sensors (Basel); 2021 Oct; 21(20):. PubMed ID: 34695948
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.