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 *

147 related articles for article (PubMed ID: 35890614)

  • 1. Prediction and Optimization of Process Parameters for Composite Thermoforming Using a Machine Learning Approach.
    Tan LB; Nhat NDP
    Polymers (Basel); 2022 Jul; 14(14):. PubMed ID: 35890614
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Experimental and Numerical Studies on Fiber Deformation and Formability in Thermoforming Process Using a Fast-Cure Carbon Prepreg: Effect of Stacking Sequence and Mold Geometry.
    Bae D; Kim S; Lee W; Yi JW; Um MK; Seong DG
    Materials (Basel); 2018 May; 11(5):. PubMed ID: 29883413
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Vacuum Thermoforming Process: An Approach to Modeling and Optimization Using Artificial Neural Networks.
    Leite WO; Campos Rubio JC; Mata Cabrera F; Carrasco A; Hanafi I
    Polymers (Basel); 2018 Feb; 10(2):. PubMed ID: 30966179
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Integration of Material Characterization, Thermoforming Simulation, and As-Formed Structural Analysis for Thermoplastic Composites.
    Bean P; Lopez-Anido RA; Vel S
    Polymers (Basel); 2022 May; 14(9):. PubMed ID: 35567045
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Innovative Injection Molding Process for the Fabrication of Woven Fabric Reinforced Thermoplastic Composites.
    Jeong E; Kim Y; Hong S; Yoon K; Lee S
    Polymers (Basel); 2022 Apr; 14(8):. PubMed ID: 35458327
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Effects of Process Parameters in Thermoforming of Unidirectional Fibre-Reinforced Thermoplastics.
    Winhard J; Nestler D; Kroll L
    Polymers (Basel); 2024 Jan; 16(2):. PubMed ID: 38257021
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Formability and Failure Mechanisms of Woven CF/PEEK Composite Sheet in Solid-State Thermoforming.
    Zheng B; Gao X; Li M; Deng T; Huang Z; Zhou H; Li D
    Polymers (Basel); 2019 Jun; 11(6):. PubMed ID: 31163618
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An artificial neural network to model response of a radiotherapy beam monitoring system.
    Cho YB; Farrokhkish M; Norrlinger B; Heaton R; Jaffray D; Islam M
    Med Phys; 2020 Apr; 47(4):1983-1994. PubMed ID: 31955428
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Methods to Improve Accuracy of Electronic Component Positioning in Thermoformed Electronics.
    Madadnia B; Vanfleteren J; Bossuyt F
    Micromachines (Basel); 2023 Dec; 14(12):. PubMed ID: 38138416
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 3D Printed Sand Tools for Thermoforming Applications of Carbon Fiber Reinforced Composites-A Perspective.
    Günther D; Erhard P; Schwab S; Taha I
    Materials (Basel); 2021 Aug; 14(16):. PubMed ID: 34443160
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Enhanced Simulation of Infrared Heating of Thermoplastic Composites Prior to Forming under Consideration of Anisotropic Thermal Conductivity and Deconsolidation by Means of Novel Physical Material Models.
    Längauer M; Zitzenbacher G; Stadler H; Hochenauer C
    Polymers (Basel); 2022 Aug; 14(16):. PubMed ID: 36015588
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Formability Analysis of Bamboo Fabric Reinforced Poly (Lactic) Acid Composites.
    M R NF; Jayaraman K; Bhattacharyya D
    Materials (Basel); 2016 Jul; 9(7):. PubMed ID: 28773662
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Coloring 3D Printed Surfaces by Thermoforming.
    Zhang Y; Tong Y; Zhou K
    IEEE Trans Vis Comput Graph; 2017 Aug; 23(8):1924-1935. PubMed ID: 28678700
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Application of machine learning and its improvement technology in modeling of total energy consumption of air conditioning water system.
    Zhu Q; Liu M; Liu H; Zhu Y
    Math Biosci Eng; 2022 Mar; 19(5):4841-4855. PubMed ID: 35430843
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Influence of Woven-Fabric Type on the Efficiency of Fabric-Reinforced Polymer Composites.
    Axinte A; Ungureanu D; Țăranu N; Bejan L; Isopescu DN; Lupășteanu R; Hudișteanu I; Roșca VE
    Materials (Basel); 2022 Apr; 15(9):. PubMed ID: 35591497
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Adjustable forming of thermoplastic composites for orthopaedic applications.
    Hou M; Friedrich K
    J Mater Sci Mater Med; 1998 Feb; 9(2):83-8. PubMed ID: 15348912
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Multi-objective optimisation of ultrasonically welded dissimilar joints through machine learning.
    Mongan PG; Modi V; McLaughlin JW; Hinchy EP; O'Higgins RM; O'Dowd NP; McCarthy CT
    J Intell Manuf; 2022; 33(4):1125-1138. PubMed ID: 35310813
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Traditional Artificial Neural Networks Versus Deep Learning in Optimization of Material Aspects of 3D Printing.
    Rojek I; Mikołajewski D; Kotlarz P; Tyburek K; Kopowski J; Dostatni E
    Materials (Basel); 2021 Dec; 14(24):. PubMed ID: 34947222
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Quality Prediction and Control in Wire Arc Additive Manufacturing via Novel Machine Learning Framework.
    Xiao X; Waddell C; Hamilton C; Xiao H
    Micromachines (Basel); 2022 Jan; 13(1):. PubMed ID: 35056302
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparative Analysis of Machine Learning Methods for Predicting Robotized Incremental Metal Sheet Forming Force.
    Ostasevicius V; Paleviciute I; Paulauskaite-Taraseviciene A; Jurenas V; Eidukynas D; Kizauskiene L
    Sensors (Basel); 2021 Dec; 22(1):. PubMed ID: 35009560
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.