BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

198 related articles for article (PubMed ID: 34200342)

  • 1. A Comparison between Finite Element Model (FEM) Simulation and an Integrated Artificial Neural Network (ANN)-Particle Swarm Optimization (PSO) Approach to Forecast Performances of Micro Electro Discharge Machining (Micro-EDM) Drilling.
    Quarto M; D'Urso G; Giardini C; Maccarini G; Carminati M
    Micromachines (Basel); 2021 Jun; 12(6):. PubMed ID: 34200342
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Novel Physically Guided Data Fusion Prediction Model for Micro-EDM Drilling.
    Cheng C; Liu B; Cheng J; Xiong X
    Materials (Basel); 2023 Nov; 16(23):. PubMed ID: 38068197
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Removal of methylene blue via bioinspired catecholamine/starch superadsorbent and the efficiency prediction by response surface methodology and artificial neural network-particle swarm optimization.
    Mahmoodi-Babolan N; Heydari A; Nematollahzadeh A
    Bioresour Technol; 2019 Dec; 294():122084. PubMed ID: 31561150
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The Prediction of Cu(II) Adsorption Capacity of Modified Pomelo Peels Using the PSO-ANN Model.
    Jiao M; Jacquemin J; Zhang R; Zhao N; Liu H
    Molecules; 2023 Oct; 28(19):. PubMed ID: 37836799
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Cost Index Model for the Process Performance Optimization of Micro-EDM Drilling on Tungsten Carbide.
    D'Urso G; Giardini C; Quarto M; Maccarini G
    Micromachines (Basel); 2017 Aug; 8(8):. PubMed ID: 30400443
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Optimization of laccase enzyme extraction from spent mushroom waste of Pleurotus florida through ANN-PSO modeling: An ecofriendly and economical approach.
    Ghose A; Gupta D; Nuzelu V; Rangan L; Mitra S
    Environ Res; 2023 Apr; 222():115345. PubMed ID: 36706899
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Development of an Artificial Neural Network Utilizing Particle Swarm Optimization for Modeling the Spray Drying of Coconut Milk.
    Ming JLK; Anuar MS; How MS; Noor SBM; Abdullah Z; Taip FS
    Foods; 2021 Nov; 10(11):. PubMed ID: 34828988
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multi-Objective Optimization of the Process Parameters in Electric Discharge Machining of 316L Porous Stainless Steel Using Metaheuristic Techniques.
    Singh H; Patrange P; Saxena P; Puri YM
    Materials (Basel); 2022 Sep; 15(19):. PubMed ID: 36233914
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Modeling and prediction of copper removal from aqueous solutions by nZVI/rGO magnetic nanocomposites using ANN-GA and ANN-PSO.
    Fan M; Hu J; Cao R; Xiong K; Wei X
    Sci Rep; 2017 Dec; 7(1):18040. PubMed ID: 29269846
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Process Fingerprint in Micro-EDM Drilling.
    Bellotti M; Qian J; Reynaerts D
    Micromachines (Basel); 2019 Apr; 10(4):. PubMed ID: 30978994
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training.
    Meissner M; Schmuker M; Schneider G
    BMC Bioinformatics; 2006 Mar; 7():125. PubMed ID: 16529661
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Technical Model of Micro Electrical Discharge Machining (EDM) Milling Suitable for Bottom Grooved Micromixer Design Optimization.
    Sabotin I; Tristo G; Valentinčič J
    Micromachines (Basel); 2020 Jun; 11(6):. PubMed ID: 32560211
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Artificial Intelligence Based Optimization for the Se(IV) Removal from Aqueous Solution by Reduced Graphene Oxide-Supported Nanoscale Zero-Valent Iron Composites.
    Cao R; Fan M; Hu J; Ruan W; Wu X; Wei X
    Materials (Basel); 2018 Mar; 11(3):. PubMed ID: 29543753
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Design optimization of irregularity RC structure based on ANN-PSO.
    Zhang X
    Heliyon; 2024 Mar; 10(5):e27179. PubMed ID: 38486723
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Modeling and optimization by particle swarm embedded neural network for adsorption of methylene blue by jicama peroxidase immobilized on buckypaper/polyvinyl alcohol membrane.
    Jun LY; Karri RR; Yon LS; Mubarak NM; Bing CH; Mohammad K; Jagadish P; Abdullah EC
    Environ Res; 2020 Apr; 183():109158. PubMed ID: 32044575
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Application and optimization of an artificial neural network to forecast thermo-mechanical behaviour of HLE steel under weld spot effect.
    Belahcene B
    Heliyon; 2023 Jun; 9(6):e16739. PubMed ID: 37484425
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Development of a Hybrid Intelligent Process Model for Micro-Electro Discharge Machining Using the TTM-MDS and Gaussian Process Regression.
    Chen Y; Guo X; Zhang G; Cao Y; Shen D; Li X; Zhang S; Ming W
    Micromachines (Basel); 2022 May; 13(6):. PubMed ID: 35744458
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Hybridized particle swarm algorithm for adaptive structure training of multilayer feed-forward neural network: QSAR studies of bioactivity of organic compounds.
    Shen Q; Jiang JH; Jiao CX; Lin WQ; Shen GL; Yu RQ
    J Comput Chem; 2004 Nov; 25(14):1726-35. PubMed ID: 15362129
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Modeling of Textile Dye Removal from Wastewater Using Innovative Oxidation Technologies (Fe(II)/Chlorine and H
    Fetimi A; Merouani S; Khan MS; Asghar MN; Yadav KK; Jeon BH; Hamachi M; Kebiche-Senhadji O; Benguerba Y
    ACS Omega; 2022 Apr; 7(16):13818-13825. PubMed ID: 35559190
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.