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 *

109 related articles for article (PubMed ID: 35194067)

  • 1. Heteroscedastic sparse Gaussian process regression-based stochastic material model for plastic structural analysis.
    Chen B; Shen L; Zhang H
    Sci Rep; 2022 Feb; 12(1):3017. PubMed ID: 35194067
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Improving reconstructive surgery design using Gaussian process surrogates to capture material behavior uncertainty.
    Stowers C; Lee T; Bilionis I; Gosain AK; Tepole AB
    J Mech Behav Biomed Mater; 2021 Jun; 118():104340. PubMed ID: 33756416
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Artificial Neural Networks for Predicting Plastic Anisotropy of Sheet Metals Based on Indentation Test.
    Xia J; Won C; Kim H; Lee W; Yoon J
    Materials (Basel); 2022 Feb; 15(5):. PubMed ID: 35268947
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Dynamic Response of Angle Ply Laminates with Uncertainties Using MARS, ANN-PSO, GPR and ANFIS.
    Mishra BB; Kumar A; Zaburko J; Sadowska-Buraczewska B; Barnat-Hunek D
    Materials (Basel); 2021 Jan; 14(2):. PubMed ID: 33466922
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of Flow Stress of Annealed 7075 Al Alloy in Hot Deformation Using Strain-Compensated Arrhenius and Neural Network Models.
    Yang H; Bu H; Li M; Lu X
    Materials (Basel); 2021 Oct; 14(20):. PubMed ID: 34683578
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Measurement and Forecasting of High-Speed Rail Track Slab Deformation under Uncertain SHM Data Using Variational Heteroscedastic Gaussian Process.
    Wang QA; Ni YQ
    Sensors (Basel); 2019 Jul; 19(15):. PubMed ID: 31357660
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Modelling daily water temperature from air temperature for the Missouri River.
    Zhu S; Nyarko EK; Hadzima-Nyarko M
    PeerJ; 2018; 6():e4894. PubMed ID: 29892503
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Johnson Cook Material and Failure Model Parameters Estimation of AISI-1045 Medium Carbon Steel for Metal Forming Applications.
    Murugesan M; Jung DW
    Materials (Basel); 2019 Feb; 12(4):. PubMed ID: 30781637
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Application of the Johnson-Cook plasticity model in the finite element simulations of the nanoindentation of the cortical bone.
    Remache D; Semaan M; Rossi JM; Pithioux M; Milan JL
    J Mech Behav Biomed Mater; 2020 Jan; 101():103426. PubMed ID: 31557661
    [TBL] [Abstract][Full Text] [Related]  

  • 10. On the Prediction of the Flow Behavior of Metals and Alloys at a Wide Range of Temperatures and Strain Rates Using Johnson-Cook and Modified Johnson-Cook-Based Models: A Review.
    Shokry A; Gowid S; Mulki H; Kharmanda G
    Materials (Basel); 2023 Feb; 16(4):. PubMed ID: 36837207
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Stress-Strain Curves and Modified Material Constitutive Model for Ti-6Al-4V over the Wide Ranges of Strain Rate and Temperature.
    Hou X; Liu Z; Wang B; Lv W; Liang X; Hua Y
    Materials (Basel); 2018 Jun; 11(6):. PubMed ID: 29865223
    [TBL] [Abstract][Full Text] [Related]  

  • 12. [Construction and mechanical analysis of finite element model for bending property of controlled memory wire nickel-titanium rotary file].
    Fu HY; Wang FF; Hou XM
    Beijing Da Xue Xue Bao Yi Xue Ban; 2019 Feb; 51(1):131-135. PubMed ID: 30773557
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Path Loss Prediction based on Machine Learning Techniques: Principal Component Analysis, Artificial Neural Network and Gaussian Process.
    Jo HS; Park C; Lee E; Choi HK; Park J
    Sensors (Basel); 2020 Mar; 20(7):. PubMed ID: 32235640
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of load in a long bone using an artificial neural network prediction algorithm.
    Mouloodi S; Rahmanpanah H; Burvill C; Davies HMS
    J Mech Behav Biomed Mater; 2020 Feb; 102():103527. PubMed ID: 31879267
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Separate Calibration of Johnson-Cook Model for Static and Dynamic Compression of a DNAN-Based Melt-Cast Explosive.
    Xie H; Zhang X; Miao F; Jiang T; Zhu Y; Wu X; Zhou L
    Materials (Basel); 2022 Aug; 15(17):. PubMed ID: 36079315
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deterministic and Stochastic Models of Arabidopsis thaliana Flowering.
    Haspolat E; Huard B; Angelova M
    Bull Math Biol; 2019 Jan; 81(1):277-311. PubMed ID: 30411251
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Using a deep convolutional network to predict the longitudinal dispersion coefficient.
    Ghiasi B; Jodeiri A; Andik B
    J Contam Hydrol; 2021 Jun; 240():103798. PubMed ID: 33770526
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Two flow stress models for describing hot deformation behavior of AISI-1045 medium carbon steel at elevated temperatures.
    Murugesan M; Jung DW
    Heliyon; 2019 Apr; 5(4):e01347. PubMed ID: 31025005
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prediction of Cyclic Stress-Strain Property of Steels by Crystal Plasticity Simulations and Machine Learning.
    Miyazawa Y; Briffod F; Shiraiwa T; Enoki M
    Materials (Basel); 2019 Nov; 12(22):. PubMed ID: 31703355
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Calibration of hyperelastic material properties of the human lumbar intervertebral disc under fast dynamic compressive loads.
    Wagnac E; Arnoux PJ; Garo A; El-Rich M; Aubin CE
    J Biomech Eng; 2011 Oct; 133(10):101007. PubMed ID: 22070332
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.