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 *

234 related articles for article (PubMed ID: 37502065)

  • 1. Retracted: Application of Graph Neural Network in Driving Fatigue Detection Based on EEG Signals.
    Intelligence And Neuroscience C
    Comput Intell Neurosci; 2023; 2023():9804560. PubMed ID: 37502065
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Application of Graph Neural Network in Driving Fatigue Detection Based on EEG Signals.
    Mu Z; Jin L; Yin J; Wang Q
    Comput Intell Neurosci; 2022; 2022():9775784. PubMed ID: 36052050
    [TBL] [Abstract][Full Text] [Related]  

  • 3. End-to-end fatigue driving EEG signal detection model based on improved temporal-graph convolution network.
    Jia H; Xiao Z; Ji P
    Comput Biol Med; 2023 Jan; 152():106431. PubMed ID: 36543007
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Phase lag index-based graph attention networks for detecting driving fatigue.
    Wang Z; Zhao Y; He Y; Zhang J
    Rev Sci Instrum; 2021 Sep; 92(9):094105. PubMed ID: 34598529
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Partial directed coherence based graph convolutional neural networks for driving fatigue detection.
    Zhang W; Wang F; Wu S; Xu Z; Ping J; Jiang Y
    Rev Sci Instrum; 2020 Jul; 91(7):074713. PubMed ID: 32752838
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multiplex Limited Penetrable Horizontal Visibility Graph from EEG Signals for Driver Fatigue Detection.
    Cai Q; Gao ZK; Yang YX; Dang WD; Grebogi C
    Int J Neural Syst; 2019 Jun; 29(5):1850057. PubMed ID: 30776986
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Retracted: Temporal and Spatial Differences of Urban Ecological Environment and Economic Development Based on Graph Neural Network.
    Intelligence And Neuroscience C
    Comput Intell Neurosci; 2023; 2023():9873074. PubMed ID: 37829866
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Retracted: Construction of Knowledge Graph English Online Homework Evaluation System Based on Multimodal Neural Network Feature Extraction.
    Intelligence And Neuroscience C
    Comput Intell Neurosci; 2023; 2023():9767865. PubMed ID: 37681222
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Retracted: Enhanced Feature Extraction-Based CNN Approach for Epileptic Seizure Detection from EEG Signals.
    Healthcare Engineering JO
    J Healthc Eng; 2023; 2023():9825862. PubMed ID: 37266266
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Retracted: Determination of Bridge Prestress Loss under Fatigue Load Based on PSO-BP Neural Network.
    Intelligence And Neuroscience C
    Comput Intell Neurosci; 2023; 2023():9868469. PubMed ID: 37416571
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Retracted: Using Big Data-Based Neural Network Parallel Optimization Algorithm in Sports Fatigue Warning.
    Intelligence And Neuroscience C
    Comput Intell Neurosci; 2023; 2023():9767618. PubMed ID: 37564539
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Directed Brain Network Analysis for Fatigue Driving Based on EEG Source Signals.
    Qin Y; Hu Z; Chen Y; Liu J; Jiang L; Che Y; Han C
    Entropy (Basel); 2022 Aug; 24(8):. PubMed ID: 36010760
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A graph convolutional neural network for the automated detection of seizures in the neonatal EEG.
    Raeisi K; Khazaei M; Croce P; Tamburro G; Comani S; Zappasodi F
    Comput Methods Programs Biomed; 2022 Jul; 222():106950. PubMed ID: 35717740
    [TBL] [Abstract][Full Text] [Related]  

  • 14. T-A-MFFNet: Multi-feature fusion network for EEG analysis and driving fatigue detection based on time domain network and attention network.
    Peng B; Zhang Y; Wang M; Chen J; Gao D
    Comput Biol Chem; 2023 Jun; 104():107863. PubMed ID: 37023639
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Retracted: A Graph Partition-Based Large-Scale Distribution Network Reconfiguration Method.
    Intelligence And Neuroscience C
    Comput Intell Neurosci; 2023; 2023():9769308. PubMed ID: 37538640
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Product Fuzzy Convolutional Network for Detecting Driving Fatigue.
    Du G; Long S; Li C; Wang Z; Liu PX
    IEEE Trans Cybern; 2023 Jul; 53(7):4175-4188. PubMed ID: 35171785
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Real-time EEG-based detection of fatigue driving danger for accident prediction.
    Wang H; Zhang C; Shi T; Wang F; Ma S
    Int J Neural Syst; 2015 Mar; 25(2):1550002. PubMed ID: 25541095
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Retracted: AGTH-Net: Attention-Based Graph Convolution-Guided Third-Order Hourglass Network for Sports Video Classification.
    Healthcare Engineering JO
    J Healthc Eng; 2023; 2023():9763279. PubMed ID: 37266229
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Retracted: N-GPETS: Neural Attention Graph-Based Pretrained Statistical Model for Extractive Text Summarization.
    Intelligence And Neuroscience C
    Comput Intell Neurosci; 2023; 2023():9818409. PubMed ID: 38124865
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Rhythm-Dependent Multilayer Brain Network for the Detection of Driving Fatigue.
    Dang W; Gao Z; Lv D; Sun X; Cheng C
    IEEE J Biomed Health Inform; 2021 Mar; 25(3):693-700. PubMed ID: 32750954
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.