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Minvydas Ragulskis
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2020 – today
- 2024
- [j50]Mingliang Suo, Jingyi Xing, Minvydas Ragulskis, Yanchen Dong, Yonglan Zhang, Chen Lu:
Fault diagnosis of satellite power system based on unsupervised knowledge acquisition and decision-making. Adv. Eng. Informatics 62: 102768 (2024) - [j49]Ugne Orinaite
, Inga Telksniene
How Does the Fractional Derivative Change the Complexity of the Caputo Standard Fractional Map. Int. J. Bifurc. Chaos 34(7): 2450085:1-2450085:12 (2024) - 2023
- [j48]Rasa Smidtaite
Detection of lag synchronization based on matrices of delayed differences. Commun. Nonlinear Sci. Numer. Simul. 116: 106864 (2023) - [j47]Rasa Smidtaite
Hyper Coupled Map Lattices for Hiding Multiple Images. Complex. 2023: 8831078:1-8831078:20 (2023) - [j46]Hanjie Liu
Minimum spanning tree brain network topology reflects individual differences in the structure of affective experience. Neurocomputing 521: 56-64 (2023) - [j45]Loreta Saunoriene, Minvydas Ragulskis
A steganographic scheme based on the Wada index. Multim. Tools Appl. 82(26): 40503-40529 (2023) - [j44]Xiaoxiao Lv
Event-Triggered Pinning Impulsive Control for Cluster Synchronization of Coupled Genetic Oscillator Networks With Proportional Delay. IEEE Trans. Syst. Man Cybern. Syst. 53(10): 6306-6315 (2023) - 2022
- [j43]Loreta Saunoriene
Information Hiding Based on Statistical Features of Self-Organizing Patterns. Entropy 24(5): 684 (2022) - [j42]Daiva Petkeviciute-Gerlach
Intermittent Bursting in the Fractional Difference Logistic Map of Matrices. Int. J. Bifurc. Chaos 32(1): 2230002:1-2230002:12 (2022) - [j41]Inga Timofejeva
Finite-Time Stabilization of the Fractional Model of the Driven Dissipative Nonlinear Pendulum. Int. J. Bifurc. Chaos 32(4): 2250056:1-2250056:20 (2022) - [j40]Paulius Palevicius
Automatic Detection of Cracks on Concrete Surfaces in the Presence of Shadows. Sensors 22(10): 3662 (2022) - [j39]Vilma Petrauskiene, Mayur Pal
Color Recurrence Plots for Bearing Fault Diagnosis. Sensors 22(22): 8870 (2022) - [j38]Lijun Pan
Pinning Impulsive Synchronization of Stochastic Delayed Neural Networks via Uniformly Stable Function. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4491-4501 (2022) - 2021
- [j37]Rasa Smidtaite
Clocking divergence of iterative maps of matrices. Commun. Nonlinear Sci. Numer. Simul. 95: 105589 (2021) - [c8]Mantas Landauskas, Loreta Saunoriene, Minvydas Ragulskis:
Multiscale Diversity Index for RUL Analysis with Bernstein Polynomial Neural Networks. ISEEIE 2021: 517-520 - 2020
- [j36]Xia Zhou, Jun Cheng
Asynchronous dissipative filtering for nonhomogeneous Markov switching neural networks with variable packet dropouts. Neural Networks 130: 229-237 (2020) - [j35]Tongwei Liu
A Data-Driven Damage Identification Framework Based on Transmissibility Function Datasets and One-Dimensional Convolutional Neural Networks: Verification on a Structural Health Monitoring Benchmark Structure. Sensors 20(4): 1059 (2020)
2010 – 2019
- 2019
- [j34]Zenonas Navickas
An analytical Scheme for the Analysis of Multi-hump solitons. Adv. Complex Syst. 22(1): 1850027:1-1850027:17 (2019) - [j33]Nizar Faisal Alkayem
Damage localization in irregular shape structures using intelligent FE model updating approach with a new hybrid objective function and social swarm algorithm. Appl. Soft Comput. 83 (2019) - [j32]Rasa Smidtaite
Image Entropy for the Identification of Chimera States of Spatiotemporal Divergence in Complex Coupled Maps of Matrices. Entropy 21(5): 523 (2019) - [j31]Guang-Qing Lu, Audrius Cereska, Giedrius Augustinavicius
Intelligent control and performance evaluation of a novel precise positioning stage. J. Intell. Fuzzy Syst. 36(2): 1205-1214 (2019) - 2018
- [j30]Tadas Telksnys
Existence of solitary solutions in systems of PDEs with multiplicative polynomial coupling. Appl. Math. Comput. 320: 380-388 (2018) - [j29]Kristina Lukoseviciute, Rita Baubliene, Daniel Howard
Bernstein polynomials for adaptive evolutionary prediction of short-term time series. Appl. Soft Comput. 65: 47-57 (2018) - [j28]Nizar Faisal Alkayem
Damage Diagnosis in 3D Structures Using a Novel Hybrid Multiobjective Optimization and FE Model Updating Framework. Complex. 2018: 3541676:1-3541676:13 (2018) - [j27]Minvydas Ragulskis
Fault Identification, Diagnosis, and Prognostics Based on Complex Signal Analysis. Complex. 2018: 4020729:1-4020729:2 (2018) - [j26]Inga Timofejeva
Synchronization Measure Based on a Geometric Approach to Attractor Embedding Using Finite Observation Windows. Complex. 2018: 8259496:1-8259496:16 (2018) - [j25]Mei Tao, Kristina Poskuviene, Nizar Faisal Alkayem
Permutation Entropy Based on Non-Uniform Embedding. Entropy 20(8): 612 (2018) - [j24]Guang-Qing Lu, Mantas Landauskas, Minvydas Ragulskis
Control of Divergence in an Extended Invertible Logistic Map. Int. J. Bifurc. Chaos 28(10): 1850129:1-1850129:15 (2018) - [j23]Zenonas Navickas
An operator-based Approach for the Construction of closed-Form solutions to fractional differential equations. Math. Model. Anal. 23(4): 665-685 (2018) - 2016
- [j22]Tadas Telksnys
The order of a 2-sequence and the Complexity of Digital Images. Adv. Complex Syst. 19(4-5): 1650010:1-1650010:25 (2016) - [j21]Zenonas Navickas
Existence of solitary solutions in a class of nonlinear differential equations with polynomial nonlinearity. Appl. Math. Comput. 283: 333-338 (2016) - [j20]Rita Palivonaite, Kristina Lukoseviciute, Minvydas Ragulskis
Short-term time series algebraic forecasting with mixed smoothing. Neurocomputing 171: 854-865 (2016) - [j19]Raimondas Ciegis
Application of distributed parallel computing for dynamic visual cryptography. J. Supercomput. 72(11): 4204-4220 (2016) - 2015
- [j18]Minvydas Ragulskis:
The generalized multiplicative operator of differentiation for the construction of analytic solitary solutions to nonlinear differential equations. ACM Commun. Comput. Algebra 49(1): 32 (2015) - [j17]Zenonas Navickas
Comments on "The exp-function method and generalized solitary solutions". Comput. Math. Appl. 69(8): 798-803 (2015) - 2014
- [j16]Zenonas Navickas
Comments on "A new algorithm for automatic computation of solitary wave solutions to nonlinear partial differential equations based on the Exp-function method". Appl. Math. Comput. 243: 419-425 (2014) - [j15]Vilma Petrauskiene, Rita Palivonaite, Algiment Aleksa, Minvydas Ragulskis
Dynamic visual cryptography based on chaotic oscillations. Commun. Nonlinear Sci. Numer. Simul. 19(1): 112-120 (2014) - [j14]Rita Palivonaite, Minvydas Ragulskis
Short-term time series algebraic forecasting with internal smoothing. Neurocomputing 127: 161-171 (2014) - [j13]Paulius Palevicius, Minvydas Ragulskis
Applicability of Time-Averaged Holography for Micro-Electro-Mechanical System Performing Non-Linear Oscillations. Sensors 14(1): 1805-1821 (2014) - [c7]Rita Palivonaite, Kristina Lukoseviciute, Minvydas Ragulskis
Algebraic Level-Set Approach for the Segmentation of Financial Time Series. EvoApplications 2014: 239-250 - 2013
- [j12]Zenonas Navickas
Algebraic operator method for the construction of solitary solutions to nonlinear differential equations. Commun. Nonlinear Sci. Numer. Simul. 18(6): 1374-1389 (2013) - [j11]Rita Palivonaite, Kristina Lukoseviciute, Minvydas Ragulskis
Algebraic segmentation of short nonstationary time series based on evolutionary prediction algorithms. Neurocomputing 121: 354-364 (2013) - [j10]Karolis Malinauskas, Paulius Palevicius, Minvydas Ragulskis
Validation of Noninvasive MOEMS-Assisted Measurement System Based on CCD Sensor for Radial Pulse Analysis. Sensors 13(4): 5368-5380 (2013) - [c6]Rita Palivonaite, Algimantas Fedaravicius, Algiment Aleksa, Minvydas Ragulskis
Near-Optimal Moire Grating for Chaotic Dynamic Visual Cryptography. IVIC 2013: 48-58 - 2011
- [j9]Minvydas Ragulskis
The solitary solution of the Liouville equation produced by the Exp-function method does not hold for all initial conditions. Comput. Math. Appl. 62(1): 376-382 (2011) - [j8]Minvydas Ragulskis
Short-term time series forecasting based on the identification of skeleton algebraic sequences. Neurocomputing 74(10): 1735-1747 (2011) - [j7]Edita Sakyte
Self-calming of a random network of dendritic neurons. Neurocomputing 74(18): 3912-3920 (2011) - [c5]Vilma Petrauskiene, Jurate Ragulskiene
Near-Optimal Time Function for Secure Dynamic Visual Cryptography. ISVC (2) 2011: 300-309 - 2010
- [j6]Zenonas Navickas
Generalization of Exp-function and other standard function methods. Appl. Math. Comput. 216(8): 2380-2393 (2010) - [j5]Kristina Lukoseviciute, Minvydas Ragulskis
Evolutionary algorithms for the selection of time lags for time series forecasting by fuzzy inference systems. Neurocomputing 73(10-12): 2077-2088 (2010)
2000 – 2009
- 2009
- [j4]Zenonas Navickas
How far one can go with the Exp-function method? Appl. Math. Comput. 211(2): 522-530 (2009) - [j3]Minvydas Ragulskis
Time-averaged patterns produced by stochastic moiré gratings. Comput. Graph. 33(2): 147-150 (2009) - [j2]Minvydas Ragulskis
Non-uniform attractor embedding for time series forecasting by fuzzy inference systems. Neurocomputing 72(10-12): 2618-2626 (2009) - [c4]Ramutis Bansevicius, Arunas Lipnickas, Minvydas Ragulskis:
New Type of Multi-degree-of-freedom Piezoelectric Actuators, based on Active Kinematic Pairs. ICINCO-RA 2009: 159-164 - [c3]Algiment Aleksa, Minvydas Ragulskis:
Image Hiding based on Angular Time-averaging Moiré Proceedings. VMV 2009: 371-372 - 2008
- [j1]Minvydas Ragulskis
Chaotic pattern of unsmoothed isochromatics around the regions of concentrated stresses. Comput. Graph. 32(1): 116-119 (2008) - 2006
- [c2]Minvydas Ragulskis
Order Adaptive Quadrature Rule for Real Time Holography Applications. Numerical Methods and Applications 2006: 685-692 - 2004
- [c1]Minvydas Ragulskis, Violeta Kravcenkiene:
Adaptive Conjugate Smoothing of Discontinuous Fields. NAA 2004: 463-470
Coauthor Index
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last updated on 2024-11-15 19:33 CET by the dblp team
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