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 *

141 related articles for article (PubMed ID: 11736063)

  • 1. Reconstruction of time-delay systems from chaotic time series.
    Bezruchko BP; Karavaev AS; Ponomarenko VI; Prokhorov MD
    Phys Rev E Stat Nonlin Soft Matter Phys; 2001 Nov; 64(5 Pt 2):056216. PubMed ID: 11736063
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Estimation of coupling between time-delay systems from time series.
    Prokhorov MD; Ponomarenko VI
    Phys Rev E Stat Nonlin Soft Matter Phys; 2005 Jul; 72(1 Pt 2):016210. PubMed ID: 16090069
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Reconstruction of ensembles of coupled time-delay systems from time series.
    Sysoev IV; Prokhorov MD; Ponomarenko VI; Bezruchko BP
    Phys Rev E Stat Nonlin Soft Matter Phys; 2014 Jun; 89(6):062911. PubMed ID: 25019855
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Permutation-information-theory approach to unveil delay dynamics from time-series analysis.
    Zunino L; Soriano MC; Fischer I; Rosso OA; Mirasso CR
    Phys Rev E Stat Nonlin Soft Matter Phys; 2010 Oct; 82(4 Pt 2):046212. PubMed ID: 21230370
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Reconstruction of time-delay systems using small impulsive disturbances.
    Prokhorov MD; Ponomarenko VI
    Phys Rev E Stat Nonlin Soft Matter Phys; 2009 Dec; 80(6 Pt 2):066206. PubMed ID: 20365253
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Estimating parameters by anticipating chaotic synchronization.
    Wei H; Li L
    Chaos; 2010 Jun; 20(2):023112. PubMed ID: 20590308
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Scalar modeling and analysis of a 3D biochemical reaction model.
    Maquet J; Letellier C; Aguirre LA
    J Theor Biol; 2004 Jun; 228(3):421-30. PubMed ID: 15135040
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Reconstruction of parameters and unobserved variables of a semiconductor laser with optical feedback from intensity time series.
    Sysoev IV; Ponomarenko VI; Bezruchko BP; Prokhorov MD
    Phys Rev E; 2020 Apr; 101(4-1):042218. PubMed ID: 32422789
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Modeling global vector fields of chaotic systems from noisy time series with the aid of structure-selection techniques.
    Xu D; Lu F
    Chaos; 2006 Dec; 16(4):043109. PubMed ID: 17199387
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Recovery of couplings and parameters of elements in networks of time-delay systems from time series.
    Sysoev IV; Ponomarenko VI; Kulminskiy DD; Prokhorov MD
    Phys Rev E; 2016 Nov; 94(5-1):052207. PubMed ID: 27967060
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Incomplete phase-space method to reveal time delay from scalar time series.
    Zhu S; Gan L
    Phys Rev E; 2016 Nov; 94(5-1):052210. PubMed ID: 27967148
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Constructing differential equations using only a scalar time-series about continuous time chaotic dynamics.
    Tsutsumi N; Nakai K; Saiki Y
    Chaos; 2022 Sep; 32(9):091101. PubMed ID: 36182397
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Approximating chaotic saddles for delay differential equations.
    Taylor SR; Campbell SA
    Phys Rev E Stat Nonlin Soft Matter Phys; 2007 Apr; 75(4 Pt 2):046215. PubMed ID: 17500986
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Monte Carlo method for multiparameter estimation in coupled chaotic systems.
    Mariño IP; Míguez J
    Phys Rev E Stat Nonlin Soft Matter Phys; 2007 Nov; 76(5 Pt 2):057203. PubMed ID: 18233798
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Nonuniform State Space Reconstruction for Multivariate Chaotic Time Series.
    Han M; Ren W; Xu M; Qiu T
    IEEE Trans Cybern; 2019 May; 49(5):1885-1895. PubMed ID: 29993852
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Determining the sub-Lyapunov exponent of delay systems from time series.
    Jüngling T; Soriano MC; Fischer I
    Phys Rev E Stat Nonlin Soft Matter Phys; 2015 Jun; 91(6):062908. PubMed ID: 26172773
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Detectability of dynamical coupling from delay-coordinate embedding of scalar time series.
    Lai YC; Kostelich EJ
    Phys Rev E Stat Nonlin Soft Matter Phys; 2002 Sep; 66(3 Pt 2A):036217. PubMed ID: 12366234
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Using synchronization for prediction of high-dimensional chaotic dynamics.
    Cohen AB; Ravoori B; Murphy TE; Roy R
    Phys Rev Lett; 2008 Oct; 101(15):154102. PubMed ID: 18999603
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Time series analyses of breathing patterns of lung cancer patients using nonlinear dynamical system theory.
    Tewatia DK; Tolakanahalli RP; Paliwal BR; Tomé WA
    Phys Med Biol; 2011 Apr; 56(7):2161-81. PubMed ID: 21389355
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Estimating system parameters from chaotic time series with synchronization optimized by a genetic algorithm.
    Tao C; Zhang Y; Jiang JJ
    Phys Rev E Stat Nonlin Soft Matter Phys; 2007 Jul; 76(1 Pt 2):016209. PubMed ID: 17677545
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.