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 *

121 related articles for article (PubMed ID: 32685634)

  • 1. Data regarding dynamic performance predictions of an aeroengine.
    De Giorgi MG; Quarta M
    Data Brief; 2020 Aug; 31():105977. PubMed ID: 32685634
    [TBL] [Abstract][Full Text] [Related]  

  • 2. System Identification Methodology of a Gas Turbine Based on Artificial Recurrent Neural Networks.
    Aquize R; Cajahuaringa A; Machuca J; Mauricio D; Mauricio Villanueva JM
    Sensors (Basel); 2023 Feb; 23(4):. PubMed ID: 36850830
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The Use of Neural Networks and Genetic Algorithms to Control Low Rigidity Shafts Machining.
    Świć A; Wołos D; Gola A; Kłosowski G
    Sensors (Basel); 2020 Aug; 20(17):. PubMed ID: 32825114
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Design of Nonlinear Autoregressive Exogenous Model Based Intelligence Computing for Efficient State Estimation of Underwater Passive Target.
    Ali W; Khan WU; Raja MAZ; He Y; Li Y
    Entropy (Basel); 2021 Apr; 23(5):. PubMed ID: 33947058
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Aeroengine Working Condition Recognition Based on MsCNN-BiLSTM.
    Zheng J; Peng J; Wang W; Li S
    Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146420
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Passive detection of aeroengine exhaust based on Fourier transform infrared system].
    Li SC; Zuo HF; Xia Q
    Guang Pu Xue Yu Guang Pu Fen Xi; 2008 Oct; 28(10):2304-7. PubMed ID: 19123394
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An ensemble of dynamic neural network identifiers for fault detection and isolation of gas turbine engines.
    Amozegar M; Khorasani K
    Neural Netw; 2016 Apr; 76():106-121. PubMed ID: 26881999
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multi-step-ahead prediction using dynamic recurrent neural networks.
    Parlos AG; Rais OT; Atiya AF
    Neural Netw; 2000 Sep; 13(7):765-86. PubMed ID: 11152208
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Fuzzy jump wavelet neural network based on rule induction for dynamic nonlinear system identification with real data applications.
    Kharazihai Isfahani M; Zekri M; Marateb HR; Mañanas MA
    PLoS One; 2019; 14(12):e0224075. PubMed ID: 31816627
    [TBL] [Abstract][Full Text] [Related]  

  • 10. ANN modelling of sediment concentration in the dynamic glacial environment of Gangotri in Himalaya.
    Singh N; Chakrapani GJ
    Environ Monit Assess; 2015 Aug; 187(8):494. PubMed ID: 26156315
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Bio-inspired spiking neural network for nonlinear systems control.
    Pérez J; Cabrera JA; Castillo JJ; Velasco JM
    Neural Netw; 2018 Aug; 104():15-25. PubMed ID: 29702424
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of spring flows using nonlinear autoregressive exogenous (NARX) neural network models.
    Di Nunno F; Granata F; Gargano R; de Marinis G
    Environ Monit Assess; 2021 May; 193(6):350. PubMed ID: 34021408
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Robust nonlinear autoregressive moving average model parameter estimation using stochastic recurrent artificial neural networks.
    Chon KH; Hoyer D; Armoundas AA; Holstein-Rathlou NH; Marsh DJ
    Ann Biomed Eng; 1999; 27(4):538-47. PubMed ID: 10468238
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multi-packet transmission aero-engine DCS neural network sliding mode control based on multi-kernel LS-SVM packet dropout online compensation.
    Guangfu L; Xu W; Jia R
    PLoS One; 2020; 15(6):e0234356. PubMed ID: 32555656
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Software sensors for biomass concentration in a SSC process using artificial neural networks and support vector machine.
    Acuña G; Ramirez C; Curilem M
    Bioprocess Biosyst Eng; 2014 Jan; 37(1):27-36. PubMed ID: 23429930
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Adaptive critic learning techniques for engine torque and air-fuel ratio control.
    Liu D; Javaherian H; Kovalenko O; Huang T
    IEEE Trans Syst Man Cybern B Cybern; 2008 Aug; 38(4):988-93. PubMed ID: 18632389
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Application of a multi-stage neural network approach for time-series landfill gas modeling with missing data imputation.
    Fallah B; Ng KTW; Vu HL; Torabi F
    Waste Manag; 2020 Oct; 116():66-78. PubMed ID: 32784123
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Creep-Based Reliability Evaluation of Turbine Blade-Tip Clearance with Novel Neural Network Regression.
    Zhang CY; Wei JS; Wang Z; Yuan ZS; Fei CW; Lu C
    Materials (Basel); 2019 Oct; 12(21):. PubMed ID: 31671898
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Learning long-term dependencies in NARX recurrent neural networks.
    Lin T; Horne BG; Tino P; Giles CL
    IEEE Trans Neural Netw; 1996; 7(6):1329-38. PubMed ID: 18263528
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.
    Shirwaikar RD; Acharya U D; Makkithaya K; M S; Srivastava S; Lewis U LES
    Artif Intell Med; 2019 Jul; 98():59-76. PubMed ID: 31521253
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.