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 *

161 related articles for article (PubMed ID: 25243233)

  • 1. Parameters identification for photovoltaic module based on an improved artificial fish swarm algorithm.
    Han W; Wang HH; Chen L
    ScientificWorldJournal; 2014; 2014():859239. PubMed ID: 25243233
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Log-linear model based behavior selection method for artificial fish swarm algorithm.
    Huang Z; Chen Y
    Comput Intell Neurosci; 2015; 2015():685404. PubMed ID: 25691895
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A novel artificial fish swarm algorithm for recalibration of fiber optic gyroscope error parameters.
    Gao Y; Guan L; Wang T; Sun Y
    Sensors (Basel); 2015 May; 15(5):10547-68. PubMed ID: 25951339
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Improved Quantum Artificial Fish Algorithm Application to Distributed Network Considering Distributed Generation.
    Du T; Hu Y; Ke X
    Comput Intell Neurosci; 2015; 2015():851863. PubMed ID: 26447713
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Optimization Model of Financial Market Portfolio Using Artificial Fish Swarm Model and Uniform Distribution.
    Xiao Y
    Comput Intell Neurosci; 2022; 2022():7483454. PubMed ID: 35755771
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An improved hybrid of particle swarm optimization and the gravitational search algorithm to produce a kinetic parameter estimation of aspartate biochemical pathways.
    Ismail AM; Mohamad MS; Abdul Majid H; Abas KH; Deris S; Zaki N; Mohd Hashim SZ; Ibrahim Z; Remli MA
    Biosystems; 2017 Dec; 162():81-89. PubMed ID: 28951204
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Hybrid Method for Image Segmentation Based on Artificial Fish Swarm Algorithm and Fuzzy c-Means Clustering.
    Ma L; Li Y; Fan S; Fan R
    Comput Math Methods Med; 2015; 2015():120495. PubMed ID: 26649068
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Neural Network Algorithm With Reinforcement Learning for Parameters Extraction of Photovoltaic Models.
    Zhang Y
    IEEE Trans Neural Netw Learn Syst; 2023 Jun; 34(6):2806-2816. PubMed ID: 34520368
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An efficient Equilibrium Optimizer for parameters identification of photovoltaic modules.
    Houssein EH; Nageh G; Abd Elaziz M; Younis E
    PeerJ Comput Sci; 2021; 7():e708. PubMed ID: 34604528
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Promising MPPT Methods Combining Metaheuristic, Fuzzy-Logic and ANN Techniques for Grid-Connected Photovoltaic.
    Ali MN; Mahmoud K; Lehtonen M; Darwish MMF
    Sensors (Basel); 2021 Feb; 21(4):. PubMed ID: 33578777
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Modification of Fish Swarm Algorithm Based on Lévy Flight and Firefly Behavior.
    Peng Z; Dong K; Yin H; Bai Y
    Comput Intell Neurosci; 2018; 2018():9827372. PubMed ID: 30344601
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Optimizing photovoltaic arrays: A tested dataset of newly manufactured PV modules for data-driven analysis and algorithm development.
    Mansur AA; Islam MI; Alam MS; Jadin MS; Sultana Z; Ali MMN; Shihavuddin A
    Data Brief; 2024 Jun; 54():110482. PubMed ID: 38774238
    [TBL] [Abstract][Full Text] [Related]  

  • 13. PV Panel Model Parameter Estimation by Using Particle Swarm Optimization and Artificial Neural Network.
    Lo WL; Chung HS; Hsung RT; Fu H; Shen TW
    Sensors (Basel); 2024 May; 24(10):. PubMed ID: 38793862
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Leveraging opposition-based learning for solar photovoltaic model parameter estimation with exponential distribution optimization algorithm.
    Kullampalayam Murugaiyan N; Chandrasekaran K; Manoharan P; Derebew B
    Sci Rep; 2024 Jan; 14(1):528. PubMed ID: 38177405
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A solution quality assessment method for swarm intelligence optimization algorithms.
    Zhang Z; Wang GG; Zou K; Zhang J
    ScientificWorldJournal; 2014; 2014():183809. PubMed ID: 25013845
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Optimization of pv cells/modules parameters using a modified quasi-oppositional logistic chaotic rao-1 (QOLCR) algorithm.
    Benghanem M; Lekouaghet B; Haddad S; Soukkou A
    Environ Sci Pollut Res Int; 2023 Mar; 30(15):44536-44552. PubMed ID: 36692712
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Artificial Fish Swarm Optimization Based Method to Identify Essential Proteins.
    Lei X; Yang X; Wu FX
    IEEE/ACM Trans Comput Biol Bioinform; 2020; 17(2):495-505. PubMed ID: 30113899
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Nature-Inspired Algorithm for Training Multilayer Perceptron Networks in e-health Environments for High-Risk Pregnancy Care.
    Moreira MWL; Rodrigues JJPC; Kumar N; Al-Muhtadi J; Korotaev V
    J Med Syst; 2018 Feb; 42(3):51. PubMed ID: 29392487
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An effective QUATRE algorithm based on reorganized mechanism and its application for parameter estimation in improved photovoltaic module.
    Liu FF; Chu SC; Hu CC; Watada J; Pan JS
    Heliyon; 2023 Jun; 9(6):e16468. PubMed ID: 37416634
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The hybrid method based on ant colony optimization algorithm in multiple factor analysis of the environmental impact of solar cell technologies.
    Dong B; Luzin A; Gura D
    Math Biosci Eng; 2020 Sep; 17(6):6342-6354. PubMed ID: 33378858
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.