Minvydas Ragulskis

63 papers B 1Journal 55Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Collaborative Multitask Learning Framework Based on Constrained Bi-Level Gradient Optimization for Mechanical Fault Diagnosis. IEEE Trans. Instrum. Meas. Xuanyuan Su, Yongzhe Ma, Minvydas Ragulskis, Mingliang Suo, Chen Lu, Xinwei Wang, Dengwei Song, Laifa Tao
2025	J	`jnl`	Output sampling synchronization and state estimation in flux-charge domain memristive neural networks with leakage and time-varying delays. Neural Networks G. Soundararajan, R. Suvetha, Minvydas Ragulskis, P. Prakash
2025	J	`jnl`	Prediction of approaching trains based on H-ranks of track vibration signals. Comput. Aided Civ. Infrastructure Eng. Ugne Orinaite, Rafal Burdzik, Vinayak Ranjan, Minvydas Ragulskis
2025	J	`jnl`	Short-term time series prediction based on evolutionary interpolation of Chebyshev polynomials with internal smoothing. Soft Comput. Loreta Saunoriene, Jinde Cao, Mantas Landauskas, Minvydas Ragulskis
2024	J	`jnl`	Estimation of Vehicle Traffic Parameters Using an Optical Distance Sensor for Use in Smart City Road Infrastructure. J. Sens. Actuator Networks Rafal Burdzik, Ireneusz Celinski, Minvydas Ragulskis, Vinayak Ranjan, Jonas Matijosius
2024	J	`jnl`	Fault diagnosis of satellite power system based on unsupervised knowledge acquisition and decision-making. Adv. Eng. Informatics Mingliang Suo, Jingyi Xing, Minvydas Ragulskis, Yanchen Dong, Yonglan Zhang, Chen Lu
2024	J	`jnl`	How Does the Fractional Derivative Change the Complexity of the Caputo Standard Fractional Map. Int. J. Bifurc. Chaos Ugne Orinaite, Inga Telksniene, Tadas Telksnys, Minvydas Ragulskis
2023	J	`jnl`	A steganographic scheme based on the Wada index. Multim. Tools Appl. Loreta Saunoriene, Minvydas Ragulskis
2023	J	`jnl`	Detection of lag synchronization based on matrices of delayed differences. Commun. Nonlinear Sci. Numer. Simul. Rasa Smidtaite, Loreta Saunoriene, Minvydas Ragulskis
2023	J	`jnl`	Event-Triggered Pinning Impulsive Control for Cluster Synchronization of Coupled Genetic Oscillator Networks With Proportional Delay. IEEE Trans. Syst. Man Cybern. Syst. Xiaoxiao Lv, Jinde Cao, Xiaodi Li, Minvydas Ragulskis
2023	J	`jnl`	Hyper Coupled Map Lattices for Hiding Multiple Images. Complex. Rasa Smidtaite, Jurate Ragulskiene, Liepa Bikulciené, Minvydas Ragulskis
2023	J	`jnl`	Minimum spanning tree brain network topology reflects individual differences in the structure of affective experience. Neurocomputing Hanjie Liu, Jinde Cao, Jinren Zhang, Minvydas Ragulskis
2022	J	`jnl`	Automatic Detection of Cracks on Concrete Surfaces in the Presence of Shadows. Sensors Paulius Palevicius, Mayur Pal, Mantas Landauskas, Ugne Orinaite, Inga Timofejeva, Minvydas Ragulskis
2022	J	`jnl`	Color Recurrence Plots for Bearing Fault Diagnosis. Sensors Vilma Petrauskiene, Mayur Pal, Maosen Cao, Jie Wang, Minvydas Ragulskis
2022	J	`jnl`	Finite-Time Stabilization of the Fractional Model of the Driven Dissipative Nonlinear Pendulum. Int. J. Bifurc. Chaos Inga Timofejeva, Giedrius Laukaitis, Zilvinas Rinkevicius, Minvydas Ragulskis
2022	J	`jnl`	Information Hiding Based on Statistical Features of Self-Organizing Patterns. Entropy Loreta Saunoriene, Kamilija Jablonskaite, Jurate Ragulskiene, Minvydas Ragulskis
2022	J	`jnl`	Intermittent Bursting in the Fractional Difference Logistic Map of Matrices. Int. J. Bifurc. Chaos Daiva Petkeviciute-Gerlach, Rasa Smidtaite, Minvydas Ragulskis
2022	J	`jnl`	Pinning Impulsive Synchronization of Stochastic Delayed Neural Networks via Uniformly Stable Function. IEEE Trans. Neural Networks Learn. Syst. Lijun Pan, Qiang Song, Jinde Cao, Minvydas Ragulskis
2021	J	`jnl`	Clocking divergence of iterative maps of matrices. Commun. Nonlinear Sci. Numer. Simul. Rasa Smidtaite, Zenonas Navickas, Minvydas Ragulskis
2021	—	`conf`	Multiscale Diversity Index for RUL Analysis with Bernstein Polynomial Neural Networks. ISEEIE Mantas Landauskas, Loreta Saunoriene, Minvydas Ragulskis
2020	J	`jnl`	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 Tongwei Liu, Hao Xu, Minvydas Ragulskis, Maosen Cao, Wieslaw Ostachowicz
2020	J	`jnl`	Asynchronous dissipative filtering for nonhomogeneous Markov switching neural networks with variable packet dropouts. Neural Networks Xia Zhou, Jun Cheng, Jinde Cao, Minvydas Ragulskis
2019	J	`jnl`	An analytical Scheme for the Analysis of Multi-hump solitons. Adv. Complex Syst. Zenonas Navickas, Tadas Telksnys, Inga Timofejeva, Minvydas Ragulskis, Romas Marcinkevicius
2019	J	`jnl`	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. Nizar Faisal Alkayem, Maosen Cao, Minvydas Ragulskis
2019	J	`jnl`	Image Entropy for the Identification of Chimera States of Spatiotemporal Divergence in Complex Coupled Maps of Matrices. Entropy Rasa Smidtaite, Guangqing Lu, Minvydas Ragulskis
2019	J	`jnl`	Intelligent control and performance evaluation of a novel precise positioning stage. J. Intell. Fuzzy Syst. Guang-Qing Lu, Audrius Cereska, Giedrius Augustinavicius, Rimas Maskeliunas, Minvydas Ragulskis
2018	J	`jnl`	An operator-based Approach for the Construction of closed-Form solutions to fractional differential equations. Math. Model. Anal. Zenonas Navickas, Tadas Telksnys, Inga Timofejeva, Romas Marcinkevicius, Minvydas Ragulskis
2018	J	`jnl`	Bernstein polynomials for adaptive evolutionary prediction of short-term time series. Appl. Soft Comput. Kristina Lukoseviciute, Rita Baubliene, Daniel Howard, Minvydas Ragulskis
2018	J	`jnl`	Control of Divergence in an Extended Invertible Logistic Map. Int. J. Bifurc. Chaos Guang-Qing Lu, Mantas Landauskas, Minvydas Ragulskis
2018	J	`jnl`	Damage Diagnosis in 3D Structures Using a Novel Hybrid Multiobjective Optimization and FE Model Updating Framework. Complex. Nizar Faisal Alkayem, Maosen Cao, Minvydas Ragulskis
2018	J	`jnl`	Existence of solitary solutions in systems of PDEs with multiplicative polynomial coupling. Appl. Math. Comput. Tadas Telksnys, Zenonas Navickas, Romas Marcinkevicius, Minvydas Ragulskis
2018	J	`jnl`	Fault Identification, Diagnosis, and Prognostics Based on Complex Signal Analysis. Complex. Minvydas Ragulskis, Chen Lu, Maosen Cao, Gangbing Song, Rafal Burdzik
2018	J	`jnl`	Permutation Entropy Based on Non-Uniform Embedding. Entropy Mei Tao, Kristina Poskuviene, Nizar Faisal Alkayem, Maosen Cao, Minvydas Ragulskis
2018	J	`jnl`	Synchronization Measure Based on a Geometric Approach to Attractor Embedding Using Finite Observation Windows. Complex. Inga Timofejeva, Kristina Poskuviene, Maosen Cao, Minvydas Ragulskis
2016	J	`jnl`	Application of distributed parallel computing for dynamic visual cryptography. J. Supercomput. Raimondas Ciegis, Vadimas Starikovicius, Natalija Tumanova, Minvydas Ragulskis
2016	J	`jnl`	Existence of solitary solutions in a class of nonlinear differential equations with polynomial nonlinearity. Appl. Math. Comput. Zenonas Navickas, Minvydas Ragulskis, Tadas Telksnys
2016	J	`jnl`	Short-term time series algebraic forecasting with mixed smoothing. Neurocomputing Rita Palivonaite, Kristina Lukoseviciute, Minvydas Ragulskis
2016	J	`jnl`	The order of a 2-sequence and the Complexity of Digital Images. Adv. Complex Syst. Tadas Telksnys, Zenonas Navickas, Martynas Vaidelys, Minvydas Ragulskis
2015	J	`jnl`	Comments on "The exp-function method and generalized solitary solutions". Comput. Math. Appl. Zenonas Navickas, Tadas Telksnys, Minvydas Ragulskis
2015	J	`jnl`	The generalized multiplicative operator of differentiation for the construction of analytic solitary solutions to nonlinear differential equations. ACM Commun. Comput. Algebra Minvydas Ragulskis
2014	B	`conf`	Algebraic Level-Set Approach for the Segmentation of Financial Time Series. EvoApplications Rita Palivonaite, Kristina Lukoseviciute, Minvydas Ragulskis
2014	J	`jnl`	Applicability of Time-Averaged Holography for Micro-Electro-Mechanical System Performing Non-Linear Oscillations. Sensors Paulius Palevicius, Minvydas Ragulskis, Arvydas Palevicius, Vytautas Ostasevicius
2014	J	`jnl`	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. Zenonas Navickas, Minvydas Ragulskis
2014	J	`jnl`	Dynamic visual cryptography based on chaotic oscillations. Commun. Nonlinear Sci. Numer. Simul. Vilma Petrauskiene, Rita Palivonaite, Algiment Aleksa, Minvydas Ragulskis
2014	J	`jnl`	Short-term time series algebraic forecasting with internal smoothing. Neurocomputing Rita Palivonaite, Minvydas Ragulskis
2013	J	`jnl`	Algebraic operator method for the construction of solitary solutions to nonlinear differential equations. Commun. Nonlinear Sci. Numer. Simul. Zenonas Navickas, Liepa Bikulciené, Maido Rahula, Minvydas Ragulskis
2013	J	`jnl`	Algebraic segmentation of short nonstationary time series based on evolutionary prediction algorithms. Neurocomputing Rita Palivonaite, Kristina Lukoseviciute, Minvydas Ragulskis
2013	—	`conf`	Near-Optimal Moire Grating for Chaotic Dynamic Visual Cryptography. IVIC Rita Palivonaite, Algimantas Fedaravicius, Algiment Aleksa, Minvydas Ragulskis
2013	J	`jnl`	Validation of Noninvasive MOEMS-Assisted Measurement System Based on CCD Sensor for Radial Pulse Analysis. Sensors Karolis Malinauskas, Paulius Palevicius, Minvydas Ragulskis, Vytautas Ostasevicius, Rolanas Dauksevicius
2011	—	`conf`	Near-Optimal Time Function for Secure Dynamic Visual Cryptography. ISVC (2) Vilma Petrauskiene, Jurate Ragulskiene, Edita Sakyte, Minvydas Ragulskis
2011	J	`jnl`	Self-calming of a random network of dendritic neurons. Neurocomputing Edita Sakyte, Minvydas Ragulskis
2011	J	`jnl`	Short-term time series forecasting based on the identification of skeleton algebraic sequences. Neurocomputing Minvydas Ragulskis, Kristina Lukoseviciute, Zenonas Navickas, Rita Palivonaite
2011	J	`jnl`	The solitary solution of the Liouville equation produced by the Exp-function method does not hold for all initial conditions. Comput. Math. Appl. Minvydas Ragulskis, Zenonas Navickas, Liepa Bikulciené
2010	J	`jnl`	Evolutionary algorithms for the selection of time lags for time series forecasting by fuzzy inference systems. Neurocomputing Kristina Lukoseviciute, Minvydas Ragulskis
2010	J	`jnl`	Generalization of Exp-function and other standard function methods. Appl. Math. Comput. Zenonas Navickas, Liepa Bikulciené, Minvydas Ragulskis
2009	J	`jnl`	How far one can go with the Exp-function method? Appl. Math. Comput. Zenonas Navickas, Minvydas Ragulskis
2009	—	`conf`	Image Hiding based on Angular Time-averaging Moiré Proceedings. VMV Algiment Aleksa, Minvydas Ragulskis
2009	—	`conf`	New Type of Multi-degree-of-freedom Piezoelectric Actuators, based on Active Kinematic Pairs. ICINCO-RA Ramutis Bansevicius, Arunas Lipnickas, Minvydas Ragulskis
2009	J	`jnl`	Non-uniform attractor embedding for time series forecasting by fuzzy inference systems. Neurocomputing Minvydas Ragulskis, Kristina Lukoseviciute
2009	J	`jnl`	Time-averaged patterns produced by stochastic moiré gratings. Comput. Graph. Minvydas Ragulskis
2008	J	`jnl`	Chaotic pattern of unsmoothed isochromatics around the regions of concentrated stresses. Comput. Graph. Minvydas Ragulskis, Miguel A. F. Sanjuán
2006	—	`conf`	Order Adaptive Quadrature Rule for Real Time Holography Applications. Numerical Methods and Applications Minvydas Ragulskis, Loreta Saunoriene
2004	—	`conf`	Adaptive Conjugate Smoothing of Discontinuous Fields. NAA Minvydas Ragulskis, Violeta Kravcenkiene