BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

168 related articles for article (PubMed ID: 37030861)

  • 1. One Size Fits All: A Unified Traffic Predictor for Capturing the Essential Spatial-Temporal Dependency.
    Luo G; Zhang H; Yuan Q; Li J; Wang W; Wang FY
    IEEE Trans Neural Netw Learn Syst; 2023 Mar; PP():. PubMed ID: 37030861
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Design of urban road fault detection system based on artificial neural network and deep learning.
    Lin Y
    Front Neurosci; 2024; 18():1369832. PubMed ID: 38741790
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Road Network-Guided Fine-Grained Urban Traffic Flow Inference.
    Liu L; Liu M; Li G; Wu Z; Lin J; Lin L
    IEEE Trans Neural Netw Learn Syst; 2023 Nov; PP():. PubMed ID: 37922186
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction.
    Ali A; Zhu Y; Zakarya M
    Neural Netw; 2022 Jan; 145():233-247. PubMed ID: 34773899
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Attention based spatio-temporal graph convolutional network with focal loss for crash risk evaluation on urban road traffic network based on multi-source risks.
    Liu X; Lu J; Chen X; Fong YHC; Ma X; Zhang F
    Accid Anal Prev; 2023 Nov; 192():107262. PubMed ID: 37598458
    [TBL] [Abstract][Full Text] [Related]  

  • 10. GT-LSTM: A spatio-temporal ensemble network for traffic flow prediction.
    Luo Y; Zheng J; Wang X; Tao Y; Jiang X
    Neural Netw; 2024 Mar; 171():251-262. PubMed ID: 38103435
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. RGDAN: A random graph diffusion attention network for traffic prediction.
    Fan J; Weng W; Tian H; Wu H; Zhu F; Wu J
    Neural Netw; 2024 Apr; 172():106093. PubMed ID: 38228022
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Hybrid Deep Learning Approach for Traffic Speed Prediction.
    Dai F; Cao P; Huang P; Mo Q; Huang B
    Big Data; 2022 Feb; ():. PubMed ID: 35108088
    [TBL] [Abstract][Full Text] [Related]  

  • 16. MGCAF: A Novel Multigraph Cross-Attention Fusion Method for Traffic Speed Prediction.
    Ma T; Wei X; Liu S; Ren Y
    Int J Environ Res Public Health; 2022 Nov; 19(21):. PubMed ID: 36361385
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Spatial linear transformer and temporal convolution network for traffic flow prediction.
    Xing Z; Huang M; Li W; Peng D
    Sci Rep; 2024 Feb; 14(1):4040. PubMed ID: 38369549
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Local spatial and temporal relation discovery model based on attention mechanism for traffic forecasting.
    Xu C; Xu C
    Neural Netw; 2024 Aug; 176():106365. PubMed ID: 38739964
    [TBL] [Abstract][Full Text] [Related]  

  • 19. DGInet: Dynamic graph and interaction-aware convolutional network for vehicle trajectory prediction.
    An J; Liu W; Liu Q; Guo L; Ren P; Li T
    Neural Netw; 2022 Jul; 151():336-348. PubMed ID: 35468493
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Spatio-temporal causal graph attention network for traffic flow prediction in intelligent transportation systems.
    Zhao W; Zhang S; Wang B; Zhou B
    PeerJ Comput Sci; 2023; 9():e1484. PubMed ID: 37547406
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.