Effective Documents Analysis Tools for Information Security

Autor: S. D. Kulik, N. E. Gunko

Publikováno v: Безопасность информационных технологий, Vol 19, Iss 3, Pp 103-110 (2012)

The new method of psychological characteristic estimating and application which is based on this method is under consideration. Abovementioned application is a part of an automated information security complex (AISC). A special input device PC Notes

Externí odkaz: https://doaj.org/article/9b56f2a346cb4e409d44751aea93909e

Identification of Performer of Text by Frequency Grammatical Features and Syntactical Singularities

Autor: S. D. Kulik, K. I. Tkachenko, I. A. Lukyanov

Publikováno v: Безопасность информационных технологий, Vol 18, Iss 1, Pp 108-110 (2011)

The approach is suggested to the identification of a performer of texts by analysis of frequency of grammatical and syntactic features of the text. The approach is applicable when there are some texts of known performer and the performer of some othe

Externí odkaz: https://doaj.org/article/45917b5d2ffc46feb3254274f772c470

The Problem of Informational Object Identification in Case of the Considerable Quantity of Identifying Features

Autor: S. D. Kulik, D. A. Nikonets

Publikováno v: Безопасность информационных технологий, Vol 17, Iss 1, Pp 86-87 (2010)

The modification of the algorithm of identification of the informational object, used for identification of the hand-written texts performer in an automated workplace of the forensic expert, is presented. As modification, it is offered to use a metho

Externí odkaz: https://doaj.org/article/e9ef09a98ca248a68ea907543114d675

Comparing individual and group-level simulated neurophysiological brain connectivity using the Jansen and Rit neural mass model

Autor: S. D. Kulik, L. Douw, E. van Dellen, M. D. Steenwijk, J. J. G. Geurts, C. J. Stam, A. Hillebrand, M. M. Schoonheim, P. Tewarie

Publikováno v: Network Neuroscience. :1-16

Computational models are often used to assess how functional connectivity (FC) patterns emerge from neuronal population dynamics and anatomical brain connections. It remains unclear whether the commonly used group-averaged data can predict individual

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::16740274277b3febfc85770d49f6cad4
https://doi.org/10.1162/netn_a_00303

Functional brain network organization measured with magnetoencephalography predicts cognitive decline in multiple sclerosis

Autor: S. D. Kulik, Linda Douw, Menno M. Schoonheim, Lucas C Breedt, Brigit A. de Jong, Arjan Hillebrand, Prejaas Tewarie, I. M. Nauta, Bernard M. J. Uitdehaag, Dirk Bertens, Jeroen J. G. Geurts, Eva M.M. Strijbis, Cornelis J. Stam, Anand J. C. Eijlers

Publikováno v: Multiple Sclerosis (Houndmills, Basingstoke, England)
Multiple Sclerosis Journal, 27, 1727-1737
Nauta, I M, Kulik, S D, Breedt, L C, Eijlers, A J, Strijbis, E M, Bertens, D, Tewarie, P, Hillebrand, A, Stam, C J, Uitdehaag, B M, Geurts, J J, Douw, L, de Jong, B A & Schoonheim, M M 2021, ' Functional brain network organization measured with magnetoencephalography predicts cognitive decline in multiple sclerosis ', Multiple Sclerosis, vol. 27, no. 11, 1352458520977160, pp. 1727-1737 . https://doi.org/10.1177/1352458520977160
Multiple Sclerosis, 27(11):1352458520977160, 1727-1737. SAGE Publications Ltd
Multiple Sclerosis Journal, 27, 11, pp. 1727-1737

Background: Cognitive decline remains difficult to predict as structural brain damage cannot fully explain the extensive heterogeneity found between MS patients. Objective: To investigate whether functional brain network organization measured with ma

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f81de8db8b0ec4788565504b99d4b72
http://europepmc.org/articles/PMC8474326