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 *

110 related articles for article (PubMed ID: 33286791)

  • 1. Multi-Fidelity Aerodynamic Data Fusion with a Deep Neural Network Modeling Method.
    He L; Qian W; Zhao T; Wang Q
    Entropy (Basel); 2020 Sep; 22(9):. PubMed ID: 33286791
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Volterra Kernels Assessment via Time-Delay Neural Networks for Nonlinear Unsteady Aerodynamic Loading Identification.
    de Paula NCG; Marques FD; Silva WA
    AIAA J; 2019 Apr; 57(4):1725-1735. PubMed ID: 31534261
    [TBL] [Abstract][Full Text] [Related]  

  • 3. MABAL: a Novel Deep-Learning Architecture for Machine-Assisted Bone Age Labeling.
    Mutasa S; Chang PD; Ruzal-Shapiro C; Ayyala R
    J Digit Imaging; 2018 Aug; 31(4):513-519. PubMed ID: 29404850
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Deep Learning Model for Fault Diagnosis with a Deep Neural Network and Feature Fusion on Multi-Channel Sensory Signals.
    Ye Q; Liu S; Liu C
    Sensors (Basel); 2020 Aug; 20(15):. PubMed ID: 32752215
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Nonlinear Modeling Study of Aerodynamic Characteristics of an X38-like Vehicle at Strong Viscous Interaction Regions.
    Jiang D; Wang P; Li J; Mao M
    Entropy (Basel); 2022 Jun; 24(6):. PubMed ID: 35741556
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multi-fidelity information fusion with concatenated neural networks.
    Pawar S; San O; Vedula P; Rasheed A; Kvamsdal T
    Sci Rep; 2022 Apr; 12(1):5900. PubMed ID: 35393511
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A computational study of the aerodynamic performance of a dragonfly wing section in gliding flight.
    Vargas A; Mittal R; Dong H
    Bioinspir Biomim; 2008 Jun; 3(2):026004. PubMed ID: 18503106
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multi-network collaborative lift-drag ratio prediction and airfoil optimization based on residual network and generative adversarial network.
    Zhao X; Wu W; Chen W; Lin Y; Ke J
    Front Bioeng Biotechnol; 2022; 10():927064. PubMed ID: 36147536
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling.
    Perdikaris P; Raissi M; Damianou A; Lawrence ND; Karniadakis GE
    Proc Math Phys Eng Sci; 2017 Feb; 473(2198):20160751. PubMed ID: 28293137
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Effects of Leading Edge Defect on the Aerodynamic and Flow Characteristics of an S809 Airfoil.
    Wang Y; Zheng X; Hu R; Wang P
    PLoS One; 2016; 11(9):e0163443. PubMed ID: 27658310
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Conditional Deep Gaussian Processes: Multi-Fidelity Kernel Learning.
    Lu CK; Shafto P
    Entropy (Basel); 2021 Nov; 23(11):. PubMed ID: 34828243
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An Intelligent Method for Predicting the Pressure Coefficient Curve of Airfoil-Based Conditional Generative Adversarial Networks.
    Wang Y; Deng L; Wan Y; Yang Z; Yang W; Chen C; Zhao D; Wang F; Guo Y
    IEEE Trans Neural Netw Learn Syst; 2023 Jul; 34(7):3538-3552. PubMed ID: 34554920
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Multifidelity kinematic parameter optimization of a flapping airfoil.
    Zheng H; Xie F; Ji T; Zhu Z; Zheng Y
    Phys Rev E; 2020 Jan; 101(1-1):013107. PubMed ID: 32069665
    [TBL] [Abstract][Full Text] [Related]  

  • 14. New Aerodynamic Studies of an Adaptive Winglet Application on the Regional Jet CRJ700.
    Segui M; Abel FR; Botez RM; Ceruti A
    Biomimetics (Basel); 2021 Sep; 6(4):. PubMed ID: 34698055
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Bearing Fault Diagnosis with a Feature Fusion Method Based on an Ensemble Convolutional Neural Network and Deep Neural Network.
    Li H; Huang J; Ji S
    Sensors (Basel); 2019 Apr; 19(9):. PubMed ID: 31052295
    [TBL] [Abstract][Full Text] [Related]  

  • 16. DNN-MVL: DNN-Multi-View-Learning-Based Recover Block Missing Data in a Dam Safety Monitoring System.
    Mao Y; Zhang J; Qi H; Wang L
    Sensors (Basel); 2019 Jun; 19(13):. PubMed ID: 31261982
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Antimicrobial peptide identification using multi-scale convolutional network.
    Su X; Xu J; Yin Y; Quan X; Zhang H
    BMC Bioinformatics; 2019 Dec; 20(1):730. PubMed ID: 31870282
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A universal deep learning approach for modeling the flow of patients under different severities.
    Jiang S; Chin KS; Tsui KL
    Comput Methods Programs Biomed; 2018 Feb; 154():191-203. PubMed ID: 29249343
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Parameter study of simplified dragonfly airfoil geometry at Reynolds number of 6000.
    Levy DE; Seifert A
    J Theor Biol; 2010 Oct; 266(4):691-702. PubMed ID: 20673771
    [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 6.