151 related articles for article (PubMed ID: 38741790)
1. 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]
2. 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]
3. 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]
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. WPD-Enhanced Deep Graph Contrastive Learning Data Fusion for Fault Diagnosis of Rolling Bearing.
Liu R; Wang X; Kumar A; Sun B; Zhou Y
Micromachines (Basel); 2023 Jul; 14(7):. PubMed ID: 37512779
[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. 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]
8. 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]
9. 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]
10. 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]
11. 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]
12. Enhancing Models and Measurements of Traffic-Related Air Pollutants for Health Studies Using Dispersion Modeling and Bayesian Data Fusion.
Batterman S; Berrocal VJ; Milando C; Gilani O; Arunachalam S; Zhang KM
Res Rep Health Eff Inst; 2020 Mar; 2020(202):1-63. PubMed ID: 32239871
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. MAMF-GCN: Multi-scale adaptive multi-channel fusion deep graph convolutional network for predicting mental disorder.
Pan J; Lin H; Dong Y; Wang Y; Ji Y
Comput Biol Med; 2022 Sep; 148():105823. PubMed ID: 35872410
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. The combination model of CNN and GCN for machine fault diagnosis.
Zhang Q; Hao C; Lv Z; Fan Q
PLoS One; 2023; 18(10):e0292381. PubMed ID: 37796950
[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. 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]
20. Recognition of sports and daily activities through deep learning and convolutional block attention.
Mekruksavanich S; Phaphan W; Hnoohom N; Jitpattanakul A
PeerJ Comput Sci; 2024; 10():e2100. PubMed ID: 38855220
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]