Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Inga Timofejeva"'
Publikováno v:
Advances in Difference Equations, Vol 2021, Iss 1, Pp 1-19 (2021)
Abstract A meta-model of diffusively coupled Lotka–Volterra systems used to model various biomedical phenomena is considered in this paper. Necessary and sufficient conditions for the existence of nth order solitary solutions are derived via a modi
Externí odkaz:
https://doaj.org/article/409c9e826eb046bc9d61ec51cfe10315
Autor:
Inga Timofejeva, Zenonas Navickas, Tadas Telksnys, Romas Marcinkevičius, Xiao-Jun Yang, Minvydas Ragulskis
Publikováno v:
AIMS Mathematics, Vol 6, Iss 4, Pp 3257-3271 (2021)
An analytical framework for the extension of solutions to fractional differential equations (FDEs) to the negative half-line is presented in this paper. The proposed technique is based on the construction of a special characteristic equation correspo
Externí odkaz:
https://doaj.org/article/590b263c24b14ce5a5e7a9dc7fd7a6c7
Autor:
Paulius Palevičius, Mayur Pal, Mantas Landauskas, Ugnė Orinaitė, Inga Timofejeva, Minvydas Ragulskis
Publikováno v:
Sensors, Vol 22, Iss 10, p 3662 (2022)
Deep learning-based methods, especially convolutional neural networks, have been developed to automatically process the images of concrete surfaces for crack identification tasks. Although deep learning-based methods claim very high accuracy, they of
Externí odkaz:
https://doaj.org/article/d2b3b0e535c04f8189e16ba0e45ac8c1
Autor:
Mayur Pal, Paulius Palevičius, Mantas Landauskas, Ugnė Orinaitė, Inga Timofejeva, Minvydas Ragulskis
Publikováno v:
Applied Sciences, Vol 11, Iss 23, p 11396 (2021)
Detection and assessment of cracks in civil engineering structures such as roads, bridges, dams and pipelines are crucial tasks for maintaining the safety and cost-effectiveness of those concrete structures. With the recent advances in machine learni
Externí odkaz:
https://doaj.org/article/10be61d7e1924f558d918371921aeb45
Publikováno v:
Symmetry, Vol 13, Iss 9, p 1683 (2021)
A new sigma identification protocol (SIP) based on matrix power function (MPF) defined over the modified medial platform semigroup and power near-semiring is proposed. It is proved that MPF SIP is resistant against direct and eavesdropping attacks. O
Externí odkaz:
https://doaj.org/article/5924c19920c54f1d95bda5704ac67e1c
Publikováno v:
Mathematics, Vol 9, Iss 12, p 1372 (2021)
An operator-based scheme for the numerical integration of fractional differential equations is presented in this paper. The generalized differential operator is used to construct the analytic solution to the corresponding characteristic ordinary diff
Externí odkaz:
https://doaj.org/article/69a8ff1a846b416fb998326aa9b113a2
Autor:
Inga Timofejeva, Rollin McCraty, Mike Atkinson, Abdullah A. Alabdulgader, Alfonsas Vainoras, Mantas Landauskas, Vaiva Šiaučiūnaitė, Minvydas Ragulskis
Publikováno v:
Applied Sciences, Vol 11, Iss 7, p 2935 (2021)
Changes in geomagnetic conditions have been shown to affect the rhythms produced by the brain and heart and that human autonomic nervous system activity reflected in heart rate variability (HRV) over longer time periods can synchronize to changes in
Externí odkaz:
https://doaj.org/article/a163e61e42ec4e6cbfd554d20f859dd9
Publikováno v:
Mathematical Modelling and Analysis, Vol 23, Iss 4 (2018)
An operator-based approach for the construction of closed-form solutions to fractional differential equations is presented in this paper. The technique is based on the analysis of Caputo and Riemann-Liouville algebras of fractional power series. Expl
Externí odkaz:
https://doaj.org/article/6662dc9b046040fab2a5f043ec83658c
Publikováno v:
Complexity, Vol 2018 (2018)
A simple and effective algorithm for the identification of optimal time delays based on the geometrical properties of the embedded attractor is presented in this paper. A time series synchronization measure based on optimal time delays is derived. Th
Externí odkaz:
https://doaj.org/article/a7008442d6bc468a9c41b06a2623c9b2
Publikováno v:
Fractals.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27333d7707ff2288f3edec777fd947c6
https://doi.org/10.1142/s0218348x23401308
https://doi.org/10.1142/s0218348x23401308