Journals
Books
Articles by keyword свойство
Models of hypertext man-machine interaction
A.P. Gagarin
Neural networks for the construction of the permissibility bounds in the «structure - property» problem
E.I. Prokhorov
The algorithm of transformation of the covariance matrix of interfering signals taking into account its hermitian properties
A. N. Novikov - Ph.D. (Eng.), Research Scientist, Military Academy of Strategic Missile Forces named after Peter the Great. E-mail: band31@mail.ru
Methods for evaluating the survivability of information-telecommunication networks
N.G. Buromensky - Ph. D. (Eng.), Leading Research Scientist, 46 CRI Branch of MoD RF (Mytischi). Е-mail: andrezoo@list.ru
Canonical algorithm Apriori detail elaboration
E.B. Tutov - Lecturer, Chair of Information Systems and Technologies, South-Western State University (Kursk). E-mail: tutov-e-b@yandex.ru
Methodology and methods of physico-chemical analysis in the development of technological processes of electronic component base
N.A. Tomilin - Dr. Sc. (Eng.), Head of Department, JSC «SPA «NIITAL» (Moscow) V.S. Seregin - Dr. Sc. (Eng.), General Director JSC «SPA «NIITAL» (Moscow) V.P. Marin - Academic APK, Dr. Sc. (Eng.), Professor, Moscow State University of Information Technologies, Radio Engineering and Electronics (MIREA) I.K. Kudryavtsev - Ph. D. (Phys.-Math.), Leading Research Scientist, Lomonosov Moscow State University (Москва) L.V. Pilavova - Ph. D. (Chem.), Deputy General Director, JSC «SPA «NIITAL» (Moscow) E.S. Pilavova - Leading Engineer, JSC «SPA «NIITAL» (Moscow). E-mail: info_niital@mail.ru
On the construction of analytical models of complex technical systems logistics
S.G. Botchetchka - Ph. D. (Eng.), Head of Department, SLL «NRTB-S» (Moscow). E-mail: botchetchka@nrtb.ru A.F. Kuzminsky - Dr. Sc. (Eng.), General Director, SLL «NRTB-S» (Moscow). E-mail: afk@nrtb.ru Yu.V. Yurkin - Ph. D. (Eng.), Head of Research Division 2, JSC «Concern «Avtomatika». E-mail: yurkin58@ya.ru
Comprehensive assessment and ensurement of chemical and biological safety in the healthcare system using machine learning technologies

E.A. Voronin1, S.V. Kozlov2, N.K. Thuong3

1,2 Federal Research Center “Informatics and Management” of the RAS