Adaptive Conjugate Smoothing of Discontinuous Fields. - Minvydas Ragulskis; Violeta Kravcenkiene (NAA, 2004)

Order Adaptive Quadrature Rule for Real Time Holography Applications. - Minvydas Ragulskis; Loreta Saunoriene (Numerical Methods and Applications, 2006)

Chaotic pattern of unsmoothed isochromatics around the regions of concentrated stresses. - Minvydas Ragulskis; Miguel A. F. Sanjuán (Comput. Graph., 2008)

New Type of Multi-degree-of-freedom Piezoelectric Actuators, based on Active Kinematic Pairs. - Ramutis Bansevicius; Arunas Lipnickas; Minvydas Ragulskis (ICINCO-RA, 2009)

Image Hiding based on Angular Time-averaging Moiré Proceedings. - Algiment Aleksa; Minvydas Ragulskis (VMV, 2009)

How far one can go with the Exp-function method? - Zenonas Navickas; Minvydas Ragulskis (Appl. Math. Comput., 2009)

Time-averaged patterns produced by stochastic moiré gratings. - Minvydas Ragulskis (Comput. Graph., 2009)

Non-uniform attractor embedding for time series forecasting by fuzzy inference systems. - Minvydas Ragulskis; Kristina Lukoseviciute (Neurocomputing, 2009)

Generalization of Exp-function and other standard function methods. - Zenonas Navickas; Liepa Bikulciené; Minvydas Ragulskis (Appl. Math. Comput., 2010)

Evolutionary algorithms for the selection of time lags for time series forecasting by fuzzy inference systems. - Kristina Lukoseviciute; Minvydas Ragulskis (Neurocomputing, 2010)

Near-Optimal Time Function for Secure Dynamic Visual Cryptography. - Vilma Petrauskiene; Jurate Ragulskiene; Edita Sakyte; Minvydas Ragulskis (ISVC (2), 2011)

The solitary solution of the Liouville equation produced by the Exp-function method does not hold for all initial conditions. - Minvydas Ragulskis; Zenonas Navickas; Liepa Bikulciené (Comput. Math. Appl., 2011)

Short-term time series forecasting based on the identification of skeleton algebraic sequences. - Minvydas Ragulskis; Kristina Lukoseviciute; Zenonas Navickas; Rita Palivonaite (Neurocomputing, 2011)

Self-calming of a random network of dendritic neurons. - Edita Sakyte; Minvydas Ragulskis (Neurocomputing, 2011)

Near-Optimal Moire Grating for Chaotic Dynamic Visual Cryptography. - Rita Palivonaite; Algimantas Fedaravicius; Algiment Aleksa; Minvydas Ragulskis (IVIC, 2013)

Algebraic operator method for the construction of solitary solutions to nonlinear differential equations. - Zenonas Navickas; Liepa Bikulciené; Maido Rahula; Minvydas Ragulskis (Commun. Nonlinear Sci. Numer. Simul., 2013)

Algebraic segmentation of short nonstationary time series based on evolutionary prediction algorithms. - Rita Palivonaite; Kristina Lukoseviciute; Minvydas Ragulskis (Neurocomputing, 2013)

Validation of Noninvasive MOEMS-Assisted Measurement System Based on CCD Sensor for Radial Pulse Analysis. - Karolis Malinauskas; Paulius Palevicius; Minvydas Ragulskis; Vytautas Ostasevicius; Rolanas Dauksevicius (Sensors, 2013)

Algebraic Level-Set Approach for the Segmentation of Financial Time Series. - Rita Palivonaite; Kristina Lukoseviciute; Minvydas Ragulskis (EvoApplications, 2014)

Comments on "A new algorithm for automatic computation of solitary wave solutions to nonlinear partial differential equations based on the Exp-function method". - Zenonas Navickas; Minvydas Ragulskis (Appl. Math. Comput., 2014)

Dynamic visual cryptography based on chaotic oscillations. - Vilma Petrauskiene; Rita Palivonaite; Algiment Aleksa; Minvydas Ragulskis (Commun. Nonlinear Sci. Numer. Simul., 2014)

Short-term time series algebraic forecasting with internal smoothing. - Rita Palivonaite; Minvydas Ragulskis (Neurocomputing, 2014)

Applicability of Time-Averaged Holography for Micro-Electro-Mechanical System Performing Non-Linear Oscillations. - Paulius Palevicius; Minvydas Ragulskis; Arvydas Palevicius; Vytautas Ostasevicius (Sensors, 2014)

The generalized multiplicative operator of differentiation for the construction of analytic solitary solutions to nonlinear differential equations. - Minvydas Ragulskis (ACM Commun. Comput. Algebra, 2015)

Comments on "The exp-function method and generalized solitary solutions". - Zenonas Navickas; Tadas Telksnys; Minvydas Ragulskis (Comput. Math. Appl., 2015)

The order of a 2-sequence and the Complexity of Digital Images. - Tadas Telksnys; Zenonas Navickas; Martynas Vaidelys; Minvydas Ragulskis (Adv. Complex Syst., 2016)

Existence of solitary solutions in a class of nonlinear differential equations with polynomial nonlinearity. - Zenonas Navickas; Minvydas Ragulskis; Tadas Telksnys (Appl. Math. Comput., 2016)

Short-term time series algebraic forecasting with mixed smoothing. - Rita Palivonaite; Kristina Lukoseviciute; Minvydas Ragulskis (Neurocomputing, 2016)

Application of distributed parallel computing for dynamic visual cryptography. - Raimondas Ciegis; Vadimas Starikovicius; Natalija Tumanova; Minvydas Ragulskis (J. Supercomput., 2016)

Existence of solitary solutions in systems of PDEs with multiplicative polynomial coupling. - Tadas Telksnys; Zenonas Navickas; Romas Marcinkevicius; Minvydas Ragulskis (Appl. Math. Comput., 2018)

Bernstein polynomials for adaptive evolutionary prediction of short-term time series. - Kristina Lukoseviciute; Rita Baubliene; Daniel Howard 001; Minvydas Ragulskis (Appl. Soft Comput., 2018)

Damage Diagnosis in 3D Structures Using a Novel Hybrid Multiobjective Optimization and FE Model Updating Framework. - Nizar Faisal Alkayem; Maosen Cao; Minvydas Ragulskis (Complex., 2018)

Fault Identification, Diagnosis, and Prognostics Based on Complex Signal Analysis. - Minvydas Ragulskis; Chen Lu 001; Maosen Cao; Gangbing Song; Rafal Burdzik (Complex., 2018)

Synchronization Measure Based on a Geometric Approach to Attractor Embedding Using Finite Observation Windows. - Inga Timofejeva; Kristina Poskuviene; Maosen Cao; Minvydas Ragulskis (Complex., 2018)

Permutation Entropy Based on Non-Uniform Embedding. - Mei Tao; Kristina Poskuviene; Nizar Faisal Alkayem; Maosen Cao; Minvydas Ragulskis (Entropy, 2018)

Control of Divergence in an Extended Invertible Logistic Map. - Guang-Qing Lu; Mantas Landauskas; Minvydas Ragulskis (Int. J. Bifurc. Chaos, 2018)

An operator-based Approach for the Construction of closed-Form solutions to fractional differential equations. - Zenonas Navickas; Tadas Telksnys; Inga Timofejeva; Romas Marcinkevicius; Minvydas Ragulskis (Math. Model. Anal., 2018)

An analytical Scheme for the Analysis of Multi-hump solitons. - Zenonas Navickas; Tadas Telksnys; Inga Timofejeva; Minvydas Ragulskis; Romas Marcinkevicius (Adv. Complex Syst., 2019)

Damage localization in irregular shape structures using intelligent FE model updating approach with a new hybrid objective function and social swarm algorithm. - Nizar Faisal Alkayem; Maosen Cao; Minvydas Ragulskis (Appl. Soft Comput., 2019)

Image Entropy for the Identification of Chimera States of Spatiotemporal Divergence in Complex Coupled Maps of Matrices. - Rasa Smidtaite; Guangqing Lu; Minvydas Ragulskis (Entropy, 2019)

Intelligent control and performance evaluation of a novel precise positioning stage. - Guang-Qing Lu; Audrius Cereska; Giedrius Augustinavicius; Rimas Maskeliunas; Minvydas Ragulskis (J. Intell. Fuzzy Syst., 2019)

Asynchronous dissipative filtering for nonhomogeneous Markov switching neural networks with variable packet dropouts. - Xia Zhou; Jun Cheng 004; Jinde Cao; Minvydas Ragulskis (Neural Networks, 2020)

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. - Tongwei Liu; Hao Xu; Minvydas Ragulskis; Maosen Cao; Wieslaw Ostachowicz (Sensors, 2020)

Multiscale Diversity Index for RUL Analysis with Bernstein Polynomial Neural Networks. - Mantas Landauskas; Loreta Saunoriene; Minvydas Ragulskis (ISEEIE, 2021)

Clocking divergence of iterative maps of matrices. - Rasa Smidtaite; Zenonas Navickas; Minvydas Ragulskis (Commun. Nonlinear Sci. Numer. Simul., 2021)

Information Hiding Based on Statistical Features of Self-Organizing Patterns. - Loreta Saunoriene; Kamilija Jablonskaite; Jurate Ragulskiene; Minvydas Ragulskis (Entropy, 2022)

Intermittent Bursting in the Fractional Difference Logistic Map of Matrices. - Daiva Petkeviciute-Gerlach; Rasa Smidtaite; Minvydas Ragulskis (Int. J. Bifurc. Chaos, 2022)

Finite-Time Stabilization of the Fractional Model of the Driven Dissipative Nonlinear Pendulum. - Inga Timofejeva; Giedrius Laukaitis; Zilvinas Rinkevicius; Minvydas Ragulskis (Int. J. Bifurc. Chaos, 2022)

Automatic Detection of Cracks on Concrete Surfaces in the Presence of Shadows. - Paulius Palevicius; Mayur Pal; Mantas Landauskas; Ugne Orinaite; Inga Timofejeva; Minvydas Ragulskis (Sensors, 2022)

Color Recurrence Plots for Bearing Fault Diagnosis. - Vilma Petrauskiene; Mayur Pal; Maosen Cao; Jie Wang; Minvydas Ragulskis (Sensors, 2022)

Pinning Impulsive Synchronization of Stochastic Delayed Neural Networks via Uniformly Stable Function. - Lijun Pan; Qiang Song 001; Jinde Cao; Minvydas Ragulskis (IEEE Trans. Neural Networks Learn. Syst., 2022)

Detection of lag synchronization based on matrices of delayed differences. - Rasa Smidtaite; Loreta Saunoriene; Minvydas Ragulskis (Commun. Nonlinear Sci. Numer. Simul., 2023)

Hyper Coupled Map Lattices for Hiding Multiple Images. - Rasa Smidtaite; Jurate Ragulskiene; Liepa Bikulciené; Minvydas Ragulskis (Complex., 2023)

Minimum spanning tree brain network topology reflects individual differences in the structure of affective experience. - Hanjie Liu; Jinde Cao; Jinren Zhang; Minvydas Ragulskis (Neurocomputing, 2023)

Event-Triggered Pinning Impulsive Control for Cluster Synchronization of Coupled Genetic Oscillator Networks With Proportional Delay. - Xiaoxiao Lv; Jinde Cao; Xiaodi Li 001; Minvydas Ragulskis (IEEE Trans. Syst. Man Cybern. Syst., 2023)

A steganographic scheme based on the Wada index. - Loreta Saunoriene; Minvydas Ragulskis (Multim. Tools Appl., 2023)

Fault diagnosis of satellite power system based on unsupervised knowledge acquisition and decision-making. - Mingliang Suo; Jingyi Xing; Minvydas Ragulskis; Yanchen Dong 003; Yonglan Zhang; Chen Lu 001 (Adv. Eng. Informatics, 2024)

Estimation of Vehicle Traffic Parameters Using an Optical Distance Sensor for Use in Smart City Road Infrastructure. - Rafal Burdzik; Ireneusz Celinski; Minvydas Ragulskis; Vinayak Ranjan; Jonas Matijosius (J. Sens. Actuator Networks, 2024)

How Does the Fractional Derivative Change the Complexity of the Caputo Standard Fractional Map. - Ugne Orinaite; Inga Telksniene; Tadas Telksnys; Minvydas Ragulskis (Int. J. Bifurc. Chaos, 2024)

Output sampling synchronization and state estimation in flux-charge domain memristive neural networks with leakage and time-varying delays. - G. Soundararajan; R. Suvetha; Minvydas Ragulskis; P. Prakash (Neural Networks, 2025)

Short-term time series prediction based on evolutionary interpolation of Chebyshev polynomials with internal smoothing. - Loreta Saunoriene; Jinde Cao; Mantas Landauskas; Minvydas Ragulskis (Soft Comput., 2025)

Prediction of approaching trains based on H-ranks of track vibration signals. - Ugne Orinaite; Rafal Burdzik; Vinayak Ranjan; Minvydas Ragulskis (Comput. Aided Civ. Infrastructure Eng., 2025)