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 *

112 related articles for article (PubMed ID: 39423078)

  • 1. A Continuous Remaining Useful Life Prediction Method With Multistage Attention Convolutional Neural Network and Knowledge Weight Constraint.
    Zhou J; Qin Y
    IEEE Trans Neural Netw Learn Syst; 2024 Oct; PP():. PubMed ID: 39423078
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Remaining Useful Life Prediction Based on Adaptive SHRINKAGE Processing and Temporal Convolutional Network.
    Wang H; Yang J; Shi L; Wang R
    Sensors (Basel); 2022 Nov; 22(23):. PubMed ID: 36501790
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Machinery Prognostics and High-Dimensional Data Feature Extraction Based on a Transformer Self-Attention Transfer Network.
    Sun S; Peng T; Huang H
    Sensors (Basel); 2023 Nov; 23(22):. PubMed ID: 38005579
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An enhanced CNN-LSTM remaining useful life prediction model for aircraft engine with attention mechanism.
    Li H; Wang Z; Li Z
    PeerJ Comput Sci; 2022; 8():e1084. PubMed ID: 36091994
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A knowledge-data integration framework for rolling element bearing RUL prediction across its life cycle.
    Yang L; Li T; Dong Y; Duan R; Liao Y
    ISA Trans; 2024 Sep; 152():331-357. PubMed ID: 38987043
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Joint Learning of Failure Mode Recognition and Prognostics for Degradation Processes.
    Wang D; Xian X; Song C
    IEEE Trans Autom Sci Eng; 2024 Apr; 21(2):1421-1433. PubMed ID: 38595999
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Novel Method for Remaining Useful Life Prediction of Roller Bearings Involving the Discrepancy and Similarity of Degradation Trajectories.
    Luo H; Bo L; Liu X; Zhang H
    Comput Intell Neurosci; 2021; 2021():2500997. PubMed ID: 34899887
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Remaining Useful Life Prediction of Rolling Bearings Based on Multi-Scale Attention Residual Network.
    Song L; Wu J; Wang L; Chen G; Shi Y; Liu Z
    Entropy (Basel); 2023 May; 25(5):. PubMed ID: 37238553
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A novel gear RUL prediction method by diffusion model generation health index and attention guided multi-hierarchy LSTM.
    Chen X
    Sci Rep; 2024 Jan; 14(1):1795. PubMed ID: 38245612
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Time Series Multiple Channel Convolutional Neural Network with Attention-Based Long Short-Term Memory for Predicting Bearing Remaining Useful Life.
    Jiang JR; Lee JE; Zeng YM
    Sensors (Basel); 2019 Dec; 20(1):. PubMed ID: 31888110
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Bearing remaining useful life prediction using support vector machine and hybrid degradation tracking model.
    Yan M; Wang X; Wang B; Chang M; Muhammad I
    ISA Trans; 2020 Mar; 98():471-482. PubMed ID: 31492470
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Remaining Useful Life Prognosis of Turbofan Engine Using Temporal and Spatial Feature Fusion.
    Peng C; Chen Y; Chen Q; Tang Z; Li L; Gui W
    Sensors (Basel); 2021 Jan; 21(2):. PubMed ID: 33435633
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Few-shot RUL prediction for engines based on CNN-GRU model.
    Sun S; Wang J; Xiao Y; Peng J; Zhou X
    Sci Rep; 2024 Jul; 14(1):16041. PubMed ID: 38992098
    [TBL] [Abstract][Full Text] [Related]  

  • 14. LSTM networks based on attention ordered neurons for gear remaining life prediction.
    Xiang S; Qin Y; Zhu C; Wang Y; Chen H
    ISA Trans; 2020 Nov; 106():343-354. PubMed ID: 32631591
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The Prediction of the Remaining Useful Life of Rotating Machinery Based on an Adaptive Maximum Second-Order Cyclostationarity Blind Deconvolution and a Convolutional LSTM Autoencoder.
    Gao Y; Ahmad Z; Kim JM
    Sensors (Basel); 2024 Apr; 24(8):. PubMed ID: 38675999
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Dual-frequency enhanced attention network for aircraft engine remaining useful life prediction.
    Yang Q; Tang B; Li Q; Liu X; Bao L
    ISA Trans; 2023 Oct; 141():167-183. PubMed ID: 37423886
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Novel Method for Remaining Useful Life Prediction of RF Circuits Based on the Gated Recurrent Unit-Convolutional Neural Network Model.
    Yang W; Wu K; Long B; Tian S
    Sensors (Basel); 2024 Apr; 24(9):. PubMed ID: 38732947
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network.
    Yuan X; Huang L; Ye L; Wang Y; Wang K; Yang C; Gui W; Shen F
    IEEE Trans Cybern; 2024 May; 54(5):2696-2707. PubMed ID: 38466589
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A new domain adaption residual separable convolutional neural network model for cross-domain remaining useful life prediction.
    Zhao C; Huang X; Li S; Li Y; Sun L
    ISA Trans; 2024 Feb; 145():239-252. PubMed ID: 38071117
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Hybrid Degradation Equipment Remaining Useful Life Prediction Oriented Parallel Simulation considering Model Soft Switch.
    Ge C; Zhu Y; Di Y
    Comput Intell Neurosci; 2019; 2019():9179870. PubMed ID: 30992700
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.