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 *

260 related articles for article (PubMed ID: 34695948)

  • 21. Dynamic multiple-graph spatial-temporal synchronous aggregation framework for traffic prediction in intelligent transportation systems.
    Yu X; Bao Y; Shi Q
    PeerJ Comput Sci; 2024; 10():e1913. PubMed ID: 38435566
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Optimized CapsNet for Traffic Jam Speed Prediction Using Mobile Sensor Data under Urban Swarming Transportation.
    Tampubolon H; Yang CL; Chan AS; Sutrisno H; Hua KL
    Sensors (Basel); 2019 Nov; 19(23):. PubMed ID: 31795519
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. 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]  

  • 25. 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]  

  • 26. Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction.
    Ma X; Dai Z; He Z; Ma J; Wang Y; Wang Y
    Sensors (Basel); 2017 Apr; 17(4):. PubMed ID: 28394270
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. GLSNN Network: A Multi-Scale Spatiotemporal Prediction Model for Urban Traffic Flow.
    Cai B; Wang Y; Huang C; Liu J; Teng W
    Sensors (Basel); 2022 Nov; 22(22):. PubMed ID: 36433477
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A novel hybrid framework based on temporal convolution network and transformer for network traffic prediction.
    Zhang Z; Gong S; Liu Z; Chen D
    PLoS One; 2023; 18(9):e0288935. PubMed ID: 37682829
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. 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]  

  • 32. GATR: A Road Network Traffic Violation Prediction Method Based on Graph Attention Network.
    Zhou Y; Wang Y; Zhang F; Zhou H; Sun K; Yu Y
    Int J Environ Res Public Health; 2023 Feb; 20(4):. PubMed ID: 36834124
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. Short-term traffic speed prediction under different data collection time intervals using a SARIMA-SDGM hybrid prediction model.
    Song Z; Guo Y; Wu Y; Ma J
    PLoS One; 2019; 14(6):e0218626. PubMed ID: 31242226
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. 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]  

  • 37. CCGN: Centralized collaborative graphical transformer multi-agent reinforcement learning for multi-intersection signal free-corridor.
    Mukhtar H; Afzal A; Alahmari S; Yonbawi S
    Neural Netw; 2023 Sep; 166():396-409. PubMed ID: 37549608
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction.
    Jiang H; Cao P; Xu M; Yang J; Zaiane O
    Comput Biol Med; 2020 Dec; 127():104096. PubMed ID: 33166800
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Graph autoencoder with mirror temporal convolutional networks for traffic anomaly detection.
    Ren Z; Li X; Peng J; Chen K; Tan Q; Wu X; Shi C
    Sci Rep; 2024 Jan; 14(1):1247. PubMed ID: 38218745
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Predicting COVID-19 using lioness optimization algorithm and graph convolution network.
    Li D; Ren X; Su Y
    Soft comput; 2023; 27(9):5437-5501. PubMed ID: 36686544
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.