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 *

148 related articles for article (PubMed ID: 38595999)

  • 1. 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]  

  • 2. A data-driven prognostics method for explicit health index assessment and improved remaining useful life prediction of bearings.
    Bilendo F; Badihi H; Lu N; Jiang B
    ISA Trans; 2021 May; ():. PubMed ID: 33985788
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A similarity based methodology for machine prognostics by using kernel two sample test.
    Cai H; Jia X; Feng J; Li W; Pahren L; Lee J
    ISA Trans; 2020 Aug; 103():112-121. PubMed ID: 32171595
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Joint optimization of degradation assessment and remaining useful life prediction for bearings with temporal convolutional auto-encoder.
    Ding Y; Jia M; Zhao X; Yan X; Lee CG
    ISA Trans; 2024 Mar; 146():451-462. PubMed ID: 38320915
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Degradation prediction model based on a neural network with dynamic windows.
    Zhang X; Xiao L; Kang J
    Sensors (Basel); 2015 Mar; 15(3):6996-7015. PubMed ID: 25806873
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Ensemble deep learning with multi-objective optimization for prognosis of rotating machinery.
    Ma M; Sun C; Mao Z; Chen X
    ISA Trans; 2020 Oct; ():. PubMed ID: 34756307
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Interactive Prognosis Framework Between Deep Learning and a Stochastic Process Model for Remaining Useful Life Prediction.
    Pei H; Si X; Li T; Zhang Z; Lei Y
    IEEE Trans Neural Netw Learn Syst; 2023 Sep; PP():. PubMed ID: 37725744
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Engine remaining useful life prediction model based on R-Vine copula with multi-sensor data.
    Liu S; Jiang H
    Heliyon; 2023 Jun; 9(6):e17118. PubMed ID: 37389066
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Data-driven remaining useful life prediction based on domain adaptation.
    Wen BC; Xiao MQ; Wang XQ; Zhao X; Li JF; Chen X
    PeerJ Comput Sci; 2021; 7():e690. PubMed ID: 34604520
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Double-Channel Hybrid Deep Neural Network Based on CNN and BiLSTM for Remaining Useful Life Prediction.
    Zhao C; Huang X; Li Y; Yousaf Iqbal M
    Sensors (Basel); 2020 Dec; 20(24):. PubMed ID: 33322457
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An Adaptation-Aware Interactive Learning Approach for Multiple Operational Condition-Based Degradation Modeling.
    Wang D; Wang Y; Xian X; Cheng B
    IEEE Trans Neural Netw Learn Syst; 2023 Sep; PP():. PubMed ID: 37682649
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A novel transformer-based DL model enhanced by position-sensitive attention and gated hierarchical LSTM for aero-engine RUL prediction.
    Chen X
    Sci Rep; 2024 May; 14(1):10061. PubMed ID: 38698017
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Adaptively Lightweight Spatiotemporal Information-Extraction-Operator-Based DL Method for Aero-Engine RUL Prediction.
    Shi J; Gao J; Xiang S
    Sensors (Basel); 2023 Jul; 23(13):. PubMed ID: 37448012
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Remaining Useful Life Prediction Based on Deep Learning: A Survey.
    Wu F; Wu Q; Tan Y; Xu X
    Sensors (Basel); 2024 May; 24(11):. PubMed ID: 38894245
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A hybrid PCA-CART-MARS-based prognostic approach of the remaining useful life for aircraft engines.
    Sánchez Lasheras F; García Nieto PJ; de Cos Juez FJ; Mayo Bayón R; González Suárez VM
    Sensors (Basel); 2015 Mar; 15(3):7062-83. PubMed ID: 25806876
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.