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Minvydas Ragulskis

Showing results (1-10 of 34) with videos related to

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Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 21, 2011
Secure steganographic communication algorithm based on self-organizing patternsLoreta Saunoriene, Minvydas Ragulskis
Chaos (Woodbury, N.Y.)|October 2, 2012
Clocking convergence to a stable limit cycle of a periodically driven nonlinear pendulumMantas Landauskas, Minvydas Ragulskis
Entropy (Basel, Switzerland)|December 3, 2020
Image Entropy for the Identification of Chimera States of Spatiotemporal Divergence in Complex Coupled Maps of MatricesRasa Smidtaite, Guangqing Lu, Minvydas Ragulskis
Entropy (Basel, Switzerland)|May 28, 2022
Information Hiding Based on Statistical Features of Self-Organizing PatternsLoreta Saunoriene, Kamilija Jablonskaite, Jurate Ragulskiene, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 13, 2007
Applicability of time-average moiré techniques for chaotic oscillationsMinvydas Ragulskis, Miguel A F Sanjuan, Loreta Saunoriene
Plos One|October 7, 2016
Fault Diagnosis for Rotating Machinery: A Method based on Image ProcessingChen Lu, Yang Wang, Minvydas Ragulskis, et al.
IEEE Transactions on Neural Networks and Learning Systems|February 24, 2021
Pinning Impulsive Synchronization of Stochastic Delayed Neural Networks via Uniformly Stable FunctionLijun Pan, Qiang Song, Jinde Cao, et al.
Neural Networks : the Official Journal of the International Neural Network Society|July 22, 2020
Asynchronous dissipative filtering for nonhomogeneous Markov switching neural networks with variable packet dropoutsXia Zhou, Jun Cheng, Jinde Cao, et al.
Sensors (Basel, Switzerland)|January 24, 2014
Applicability of time-averaged holography for micro-electro-mechanical system performing non-linear oscillationsPaulius Palevicius, Minvydas Ragulskis, Arvydas Palevicius, et al.
Neural Networks : the Official Journal of the International Neural Network Society|December 17, 2024
Output sampling synchronization and state estimation in flux-charge domain memristive neural networks with leakage and time-varying delaysG Soundararajan, R Suvetha, Minvydas Ragulskis, et al.
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Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 21, 2011
Secure steganographic communication algorithm based on self-organizing patternsLoreta Saunoriene, Minvydas Ragulskis
Chaos (Woodbury, N.Y.)|October 2, 2012
Clocking convergence to a stable limit cycle of a periodically driven nonlinear pendulumMantas Landauskas, Minvydas Ragulskis
Entropy (Basel, Switzerland)|December 3, 2020
Image Entropy for the Identification of Chimera States of Spatiotemporal Divergence in Complex Coupled Maps of MatricesRasa Smidtaite, Guangqing Lu, Minvydas Ragulskis
Entropy (Basel, Switzerland)|May 28, 2022
Information Hiding Based on Statistical Features of Self-Organizing PatternsLoreta Saunoriene, Kamilija Jablonskaite, Jurate Ragulskiene, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|October 13, 2007
Applicability of time-average moiré techniques for chaotic oscillationsMinvydas Ragulskis, Miguel A F Sanjuan, Loreta Saunoriene
Plos One|October 7, 2016
Fault Diagnosis for Rotating Machinery: A Method based on Image ProcessingChen Lu, Yang Wang, Minvydas Ragulskis, et al.
IEEE Transactions on Neural Networks and Learning Systems|February 24, 2021
Pinning Impulsive Synchronization of Stochastic Delayed Neural Networks via Uniformly Stable FunctionLijun Pan, Qiang Song, Jinde Cao, et al.
Neural Networks : the Official Journal of the International Neural Network Society|July 22, 2020
Asynchronous dissipative filtering for nonhomogeneous Markov switching neural networks with variable packet dropoutsXia Zhou, Jun Cheng, Jinde Cao, et al.
Sensors (Basel, Switzerland)|January 24, 2014
Applicability of time-averaged holography for micro-electro-mechanical system performing non-linear oscillationsPaulius Palevicius, Minvydas Ragulskis, Arvydas Palevicius, et al.
Neural Networks : the Official Journal of the International Neural Network Society|December 17, 2024
Output sampling synchronization and state estimation in flux-charge domain memristive neural networks with leakage and time-varying delaysG Soundararajan, R Suvetha, Minvydas Ragulskis, et al.
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