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 *

163 related articles for article (PubMed ID: 34531910)

  • 21. CSCAHHO: Chaotic hybridization algorithm of the Sine Cosine with Harris Hawk optimization algorithms for solving global optimization problems.
    Zhang YJ; Yan YX; Zhao J; Gao ZM
    PLoS One; 2022; 17(5):e0263387. PubMed ID: 35588436
    [TBL] [Abstract][Full Text] [Related]  

  • 22. MSHHOTSA: A variant of tunicate swarm algorithm combining multi-strategy mechanism and hybrid Harris optimization.
    Liu G; Guo Z; Liu W; Cao B; Chai S; Wang C
    PLoS One; 2023; 18(8):e0290117. PubMed ID: 37566618
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Multi-strategy assisted chaotic coot-inspired optimization algorithm for medical feature selection: A cervical cancer behavior risk study.
    Hu G; Zhong J; Wang X; Wei G
    Comput Biol Med; 2022 Dec; 151(Pt A):106239. PubMed ID: 36335810
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Boosting Slime Mould Algorithm for High-Dimensional Gene Data Mining: Diversity Analysis and Feature Selection.
    Qiu F; Guo R; Chen H; Liang G
    Comput Math Methods Med; 2022; 2022():8011003. PubMed ID: 36277020
    [TBL] [Abstract][Full Text] [Related]  

  • 25. HSMA_WOA: A hybrid novel Slime mould algorithm with whale optimization algorithm for tackling the image segmentation problem of chest X-ray images.
    Abdel-Basset M; Chang V; Mohamed R
    Appl Soft Comput; 2020 Oct; 95():106642. PubMed ID: 32843887
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A Hybrid Pathfinder Optimizer for Unconstrained and Constrained Optimization Problems.
    Qi X; Yuan Z; Song Y
    Comput Intell Neurosci; 2020; 2020():5787642. PubMed ID: 32612648
    [TBL] [Abstract][Full Text] [Related]  

  • 27. A Multistrategy-Integrated Learning Sparrow Search Algorithm and Optimization of Engineering Problems.
    Wang Z; Huang X; Zhu D
    Comput Intell Neurosci; 2022; 2022():2475460. PubMed ID: 35251144
    [TBL] [Abstract][Full Text] [Related]  

  • 28. An Improved Multi-Strategy Crayfish Optimization Algorithm for Solving Numerical Optimization Problems.
    Wang R; Zhang S; Zou G
    Biomimetics (Basel); 2024 Jun; 9(6):. PubMed ID: 38921241
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A modified reptile search algorithm for global optimization and image segmentation: Case study brain MRI images.
    Emam MM; Houssein EH; Ghoniem RM
    Comput Biol Med; 2023 Jan; 152():106404. PubMed ID: 36521356
    [TBL] [Abstract][Full Text] [Related]  

  • 30. An efficient multilevel thresholding image segmentation method based on the slime mould algorithm with bee foraging mechanism: A real case with lupus nephritis images.
    Chen X; Huang H; Heidari AA; Sun C; Lv Y; Gui W; Liang G; Gu Z; Chen H; Li C; Chen P
    Comput Biol Med; 2022 Mar; 142():105179. PubMed ID: 35074736
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Subpopulation Particle Swarm Optimization with a Hybrid Mutation Strategy.
    Xie Z; Huang X; Liu W
    Comput Intell Neurosci; 2022; 2022():9599417. PubMed ID: 35251160
    [TBL] [Abstract][Full Text] [Related]  

  • 32. A New Hybrid Particle Swarm Optimization-Teaching-Learning-Based Optimization for Solving Optimization Problems.
    Hubálovský Š; Hubálovská M; Matoušová I
    Biomimetics (Basel); 2023 Dec; 9(1):. PubMed ID: 38248582
    [TBL] [Abstract][Full Text] [Related]  

  • 33. An Enhanced Lightning Attachment Procedure Optimization with Quasi-Opposition-Based Learning and Dimensional Search Strategies.
    Zheng T; Luo W
    Comput Intell Neurosci; 2019; 2019():1589303. PubMed ID: 31467516
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Swarming genetic algorithm: A nested fully coupled hybrid of genetic algorithm and particle swarm optimization.
    Aivaliotis-Apostolopoulos P; Loukidis D
    PLoS One; 2022; 17(9):e0275094. PubMed ID: 36149908
    [TBL] [Abstract][Full Text] [Related]  

  • 35. An effective solution to numerical and multi-disciplinary design optimization problems using chaotic slime mold algorithm.
    Dhawale D; Kamboj VK; Anand P
    Eng Comput; 2022; 38(Suppl 4):2739-2777. PubMed ID: 34092833
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Adaptive dynamic self-learning grey wolf optimization algorithm for solving global optimization problems and engineering problems.
    Zhang Y; Cai Y
    Math Biosci Eng; 2024 Feb; 21(3):3910-3943. PubMed ID: 38549313
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Modified salp swarm algorithm based multilevel thresholding for color image segmentation.
    Wang SK; Jia HM; Peng XX
    Math Biosci Eng; 2019 Oct; 17(1):700-724. PubMed ID: 31731372
    [TBL] [Abstract][Full Text] [Related]  

  • 38. An Efficient Adaptive Salp Swarm Algorithm Using Type II Fuzzy Entropy for Multilevel Thresholding Image Segmentation.
    Mahajan S; Mittal N; Salgotra R; Masud M; Alhumyani HA; Pandit AK
    Comput Math Methods Med; 2022; 2022():2794326. PubMed ID: 35132329
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Exploring a novel HE image segmentation technique for glioblastoma: A hybrid slime mould and differential evolution approach.
    Guo H; Liu H; Zhu H; Li M; Yu H; Zhu Y; Chen X; Xu Y; Gao L; Zhang Q; Shentu Y
    Comput Biol Med; 2024 Jan; 168():107653. PubMed ID: 37984200
    [TBL] [Abstract][Full Text] [Related]  

  • 40. A novel chaotic transient search optimization algorithm for global optimization, real-world engineering problems and feature selection.
    Altay O; Varol Altay E
    PeerJ Comput Sci; 2023; 9():e1526. PubMed ID: 37705623
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.