BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

196 related articles for article (PubMed ID: 23235453)

  • 1. PSO algorithm particle filters for improving the performance of lane detection and tracking systems in difficult roads.
    Cheng WC
    Sensors (Basel); 2012 Dec; 12(12):17168-85. PubMed ID: 23235453
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Lane Detection Algorithm in Curves Based on Multi-Sensor Fusion.
    Zhang Q; Liu J; Jiang X
    Sensors (Basel); 2023 Jun; 23(12):. PubMed ID: 37420915
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Optimization of Correlation Filters Using Extended Particle Swarm Optimization Technique.
    Masood H; Zafar A; Ali MU; Khan MA; Iqbal K; Tariq U; Kadry S
    Comput Math Methods Med; 2021; 2021():6321860. PubMed ID: 34306177
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A self-learning particle swarm optimizer for global optimization problems.
    Li C; Yang S; Nguyen TT
    IEEE Trans Syst Man Cybern B Cybern; 2012 Jun; 42(3):627-46. PubMed ID: 22067435
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An improved predator-prey particle swarm optimization algorithm for Nash equilibrium solution.
    Meng Y; He J; Luo S; Tao S; Xu J
    PLoS One; 2021; 16(11):e0260231. PubMed ID: 34818366
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Learning-Based Lane-Change Behaviour Detection for Intelligent and Connected Vehicles.
    Du L; Chen W; Pei Z; Zheng H; Fu S; Chen K; Wu D
    Comput Intell Neurosci; 2020; 2020():8848363. PubMed ID: 33061950
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Novel Particle Swarm Optimization Algorithm for Global Optimization.
    Wang CF; Liu K
    Comput Intell Neurosci; 2016; 2016():9482073. PubMed ID: 26955387
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Particle swarm optimization with composite particles in dynamic environments.
    Liu L; Yang S; Wang D
    IEEE Trans Syst Man Cybern B Cybern; 2010 Dec; 40(6):1634-48. PubMed ID: 20371407
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An adaptive multi-swarm optimizer for dynamic optimization problems.
    Li C; Yang S; Yang M
    Evol Comput; 2014; 22(4):559-94. PubMed ID: 24437666
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Lane-change intention recognition considering oncoming traffic: Novel insights revealed by advances in deep learning.
    Liu H; Wang T; Li W; Ye X; Yuan Q
    Accid Anal Prev; 2024 Apr; 198():107476. PubMed ID: 38325183
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Safety and operational impact of connected vehicles' lane configuration on freeway facilities with managed lanes.
    Abdel-Aty M; Wu Y; Saad M; Rahman MS
    Accid Anal Prev; 2020 Sep; 144():105616. PubMed ID: 32516578
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Implementing Model Predictive Control and Steady-State Dynamics for Lane Detection for Automated Vehicles in a Variety of Occlusion in Clothoid-Form Roads.
    Waykole S; Shiwakoti N; Stasinopoulos P
    Sensors (Basel); 2023 Apr; 23(8):. PubMed ID: 37112424
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A particle swarm optimization variant with an inner variable learning strategy.
    Wu G; Pedrycz W; Ma M; Qiu D; Li H; Liu J
    ScientificWorldJournal; 2014; 2014():713490. PubMed ID: 24587746
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Robust lane sensing and departure warning under shadows and occlusions.
    Tapia-Espinoza R; Torres-Torriti M
    Sensors (Basel); 2013 Mar; 13(3):3270-98. PubMed ID: 23478598
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The performance verification of an evolutionary canonical particle swarm optimizer.
    Zhang H; Ishikawa M
    Neural Netw; 2010 May; 23(4):510-6. PubMed ID: 20346858
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Novel Intelligent Approach to Lane-Change Behavior Prediction for Intelligent and Connected Vehicles.
    Du L; Chen W; Ji J; Pei Z; Tong B; Zheng H
    Comput Intell Neurosci; 2022; 2022():9516218. PubMed ID: 35082845
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An adaptive image enhancement technique by combining cuckoo search and particle swarm optimization algorithm.
    Ye Z; Wang M; Hu Z; Liu W
    Comput Intell Neurosci; 2015; 2015():825398. PubMed ID: 25784928
    [TBL] [Abstract][Full Text] [Related]  

  • 18. AMPSO: a new particle swarm method for nearest neighborhood classification.
    Cervantes A; Galvan IM; Isasi P
    IEEE Trans Syst Man Cybern B Cybern; 2009 Oct; 39(5):1082-91. PubMed ID: 19336325
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A color image contrast enhancement method based on improved PSO.
    Zhang X; Ren Y; Zhen G; Shan Y; Chu C
    PLoS One; 2023; 18(2):e0274054. PubMed ID: 36757955
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 10.