Journals
Books
Articles by keyword learn
The Specification of Subspace Occupied by Data Cluster with SVM-Method
Zvyagin P. N.
Algorithm of diagnostics of educational process in neural basis
O. V. Pokalitsina
Modeling of adaptive behavior of autonomous agents
V. G. Red-ko, G. A. Beskhlebnova
Learning with teacher of spiking neuron in spatial-temporal impulse pattern detection task
O. Yu. Sinyavskiy, A. I. Kobrin
Method of Estimation of Quality of Space Objects Recognition
M.E. Prokhorov, J.G. Rindyn
Distributed neural network based solving of classification task on selective clustering approach
V. V. Ayuyev
Dynamic formation of radial-basis neural network structure
V. N. Vichugov, M. S. Sukhodoev, G. P. Tsapko
Bulev factorial analysis by means of attractor neural network and its some appendices
A. A. Frolov, D. Gusek, P. Yu. Polyakov
Separate state-value calculation in frontal cortex: reward-guided and punishment-guided learning
I. A. Smirnitskaya
Specificity of molecular processes as a basis of neural integrative activity
V. P. Nikitin, V. V. Sherstnev
The tutoring intelligence systems based on integrated expert systems: the experience of developing & using
G.V. Rybina
Architecture of a personalized learning support environment
A.G. Kramin, A.Y. Nikiforov, V.A. Rusakov
Algebraic Bayesian networks: automated learning problems
A. L. Tulupyev, A. A. Filchenkov, N. A. Valtman
Behavioral effects of acute and chronic administration of endomorphin-2 in white rats
A.V. Malyshev, N.I. Troyanova, E.A. Ivanova, V.A. Dubynin, N.Y. Sarycheva, V.N. Kalikhevich, Z.A. Ardemasova, A.A. Kamensky
Analysis of the status of the teaching and research work in the technical universities of Russia at the present time
N.А. Bychkov
The training of specialists in information security of organizations of the Russian banking system
Y.V. Malinin, I.E. Khairov, P.V. Genievsky
Analysis of the status of the teaching and research work in the technical universities of russia at the present time
N.А. Bychkov
The possibilities of interpretation of the basic tenets of the theory of innovation and knowledge methodology of innovation theory based on the classical laws of thermodynamics
V.K. Fedorov, V.P. Marin, N.N. Beklemishev
The efficiency of the clearing process for various models of payments
E.N. Sidnjaeva
Neural bioexcitability for construction of function charts artificial neuron
E.N. Sidnjaeva, N.I. Sidnjaev
Personal components of self-regulation of educational activity of students of correspondence form of education: system approach
E.S. Galeeva
Forecasting dynamic ANN construction on the base of algorithmic information theory
A.S. Potapov
Classification of image distortion type in task of noreference image quality assessment
V.V. Khryashchev, A.L. Priorov, V.E. Solovyev, A.M. Shemiakov
Technologies of extracting information about events in real time
V.D. Solovyev
Subsystem of program support of decision-making in process training automation on disciplines of the radio-electronic profile
N.E. Samojlenko, L.S. Ochneva
Calculation of oil system parameters of aviation GTE on the basis of neural network technology
S.V. Zhernakov, R.F. Ravilov
Estimation of information value of features used for echocardiography image processing
A.O. Bobkova, S.V. Porshnev, V.S. Kublanov
Training neural network for an obstacle-avoiding autonomous mobile robot using reinforcement learning
R.A. Munasypov, G.A. Saitova, S.S. Moskvichev, T.R. Shakhmametev
Training neural network for an obstacle-avoiding autonomous mobile robot using reinforcement learning
R.A. Munasypov, G.A. Saitova, S.S. Moskvichev, T.R. Shakhmametev
Approach to data representation in information learning systems
V.G. Baranov, V.R. Milov, N.A. Alipova, Yu.S. Egorov
New computer model of the human brain
K.V. Sudakov, E.A. Umryukhin
Problems of modeling brain functions (Neural cybernetic approach)
E.A. Umryukhin
The approaches and methods of radial basis functions networks learning to solve mathematical physic problems
V.I. Gorbachenko - Professor, Head of Chair «Computer technology», Penza State University. E-mail: gorvi@mail.ru M.V. Zhukov - Post-graduate Student, Penza State University. E-mail: maxim.zh@gmail.com
Associative memory construction based on self-reproducing artificial intelligent neural networks (SAINN)
S.D. Ionov - Post-graduate Student, Institute of Mathematics and Mechanics (IMM), Ural Branch of the Russian Academy of Sciences. E-mail: progsdi@gmail.com S.V. Sharf - Institute of Mathematics and Mechanics (IMM), Ural Branch of the Russian Academy of Sciences. E-mail: scharf@imm.uran.ru
The approach for rapid the scientific software to the learning process with the use of CLAVIRE platform
A.V. Dukhanov - Associate Professor, Senior Research Scientist, University ITMO. E-mail: dukhanov@niuitmo.ru
The mathematical description of the algorithm of the fuzzy neuro controller
Т. S. Legotkina - Ph.D. (Eng.), Associate Professor, Department of Automation and Telemechanics, Perm National Research Polytechnic University. E-mail: luda@at.pstu.ru
Yu. N. Khizhnyakov - Dr.Sci. (Eng.), Professor, Department of Automation and Telemechanics, Perm National Research Polytechnic University. E-mail: luda@at.pstu.ac.ru
Classification and generation of images with a hierarchically connected neural network
Diane Sekou Abdel Kader - Post-graduate Student, Assistant, HVE Department of Control Engineering, Moscow State Institute of Radio Engineering, Electronics and Automation. E-mail: sekoudiane1990@gmail.com
Influences of ozone on the mnemonic function of the brain: learning ability and preservation of memory in the experiment
R.A. Akhundov - Dr.Sc.(Biol.), Professor, Azerbaijan Medical University, Baku
T.I. Nizamov - Dr.Sc. (Eng.), Professor, National Aviation Academy , Baku
M. D. Gasanov - Ph.D. (Med.), Azerbaijan Medical University
E.I. Isayev - Head, National Aviation Academy
H.R. Akhundova - Senior Assistan, Azerbaijan Medical University
Integrative neuronal activity: relationship between bioelectrical activity, neurochemical and neurophysical (conformational) processes at formation of memory engrams
B. V. Zhuravlev - Dr.Sc. (Med.), Professor, Head of laboratory, P.K. Anokhin Institute of normal physiology (Moscow). E-mail: b.zhuravlerb@nphys.ru
Quality management in distance learning
A. V. Tkachenko - Ph.D. (Eng.), Associate Professor, Department "Information systems und Technologies", South-West State University (Kursk)
A. I. Tkachenko - Post-graduate Student, South-West State University (Kursk)
Multimedia educational resources for distance medical advanced training
A.N. Putintsev - Ph.D.(Eng.), Head of Department of medical computer systems, Science Center of New Information Technologies, separate structural unit of Scientific Research Clinical Institute of Pediatricsof Pirogov Russian National Research Medical University
B.A. Kobrinsky - Dr.Sc.(Med.), Professor, Head of the Science Center of New Information Technologies, separate structural unit of Scientific Research Clinical Institute of Pediatricsof Pirogov Russian National Research Medical University
Neural network modeling of the stress-deformation behavior of viscoelastic media
Yu.A. Basistov - Ph. D. (Phys.-Math.), Senior Research Scientist, Institute of Applied Mechanics RAS (Moscow). E-mail: yuabas@mail.ru Yu.G. Yanovsky - Dr. Sc. (Eng.), Professor, Institute of Applied Mechanics RAS (Moscow). E-mail: iam@iam.ras.ru
Using methods of functional analysis to describe the process of learning
M.N. Ryzhkova - Ph. D. (Eng.), Associate Professor, Department of Physics and Applied Mathematics, Vladimir State University named after A.&N. Stoletovs (Murom Branch). E-mail: masmash@mail.ru
Influence of technical and economic factors on the competencies of the graduates of the university
V.N. Nikolaev - Dr. Sc. (Eng.), Professor, Southwest State University (Kursk). E-mail: nikovic54@yandex.ru K.A. Tkachenko - Post-graduate Student, Southwest State University (Kursk). E-mail: kirill06@list.ru
Individually-typological features of the change in the performance and indicators of the variability of the heart rate in the subjects in their adaptation to new conditions of sensori-motor activity
N.A. Gridneva - Researcher, P.K. Anokhin Institute of Normal Physiology (Moscow). E-mail: n.gridneva@nphys.ru E.P. Murtazina - Ph.D. (Med.), Leading Researcher, P.K. Anokhin Institute of Normal Physiology (Moscow). E-mail: KVV@ufanet.ru B.V. Zhuravlev - Professor, Dr. Sc. (Med.), Head of Laboratory, P.K. Anokhin Institute of Normal Physiology (Moscow). E-mail: KVV@ufanet.ru N.Yu. Trifonova - Researcher, P.K. Anochin Institute of Normal Physiology (Moscow). E-mail: natrish@bk.ru
Temporal patterns of shifts eating and drinking behavior of rats during spontaneous learning with the choice of the conditional signals on touch screen monitor
B.V. Zhuravlev - Dr.Sc. (Med.), Professor, Head of Laboratory, P.K. Anokhin Institute of Normal Physiology (Moscow). E-mail: b.zhuravlerb@nphys.ru E.P. Murtazina - Ph.D. (Med.), Leading Researcher, P.K. Anochin Institute of Normal Physiology (Mosow). E-mail: e.murtazina@nphys.ru B.V. Gurkovsky - Researcher, P.K. Anokhin Institute of Normal Physiology; Post-graduate Student, National Reasarch Nuclear University «MEPhI» (Moscow). E-mail: boris.gurkovskiy@gmail.com
Synthesis of neuroexperiment and neurophilosophy is basis of neuroscience
E.V. Loseva - Dr.Sc. (Biol.), Principal Scientist, Lab. of Functional Neurocytology, Institute of Higher Nervous Activity and Neurophysiology of RAS (Moscow). E-mail: losvnd@mail.ru
Active avoidance reaction and its functional impairment under the influence of immunoactive skin drug K-activin in rats
A.V. Kryuchkova - Junior Research Scientist, FSBIS SRI PCM FMBA of Russia; Leading Engineer, Lomonosov Moscow State University (Moscow). E-mail: likkavolkhova@mail.ru A.N. Inozemtsev - Dr.Sc. (Biol.), Leading Research Scientist, Lomonosov Moscow State University (Moscow). E-mail: A_Inozemtsev@mail.ru O.V. Belova - Dr.Sc. (Biol.), Head of Laboratory, FSBIS SRI PCM FMBA of Russia (Moscow). E-mail: olgabelova49@yandex.ru T.A. Lukanidina - Research Scientist, FSBIS SRI PCM FMBA of Russia (Moscow). E-mail: tlukanidina@yandex.ru S.N. Moskvina - Ph.D. (Biol.), Leading Research Scientist, FSBIS SRI PCM FMBA of Russia (Moscow). E-mail: kasya45@yandex.ru I.V. Zimina - Ph.D. (Biol.), Senior Research Scientist, FSBIS SRI PCM FMBA of Russia (Moscow). E-mail: Yangicher@yandex.ru E.V. Shmeleva - Junior Research Scientist, FSBIS SRI PCM FMBA of Russia (Moscow). E-mail: kovalevaek101000@gmail.com
Interaction of excitation, inhibition and disinhibition on the example of proofreading tests and computer game
G.I. Shulgina Dr.Sc. (Biol.), Professor, Faculty of Psychology, State Academy of Slavic Culture (Moscow). E-mail: shulgina28@mail.ru D.A. Berezhnaya Acting Head of Department of Psychological Researches, SBU, «MITs» (Moscow). Е-mail: dashur@list.ru D.S. Berezhnoy Ph.D. (Biol.), Leading Engineer, Chair of Higher Nervous Activity, Moscow State University (Moscow). Е-mail: berezhnoy.daniil@gmail.com O.N. Volkova Student, Faculty of Psychology, State Academy of Slavic Culture (Moscow). Е-mail: zru84@mail.ru E.A. Zyablitseva Ph.D. (Biol.), Assiciate Professor, Department of Psychology, Military University (Moscow). Е-mail: evgeniazia@mail.ru E.A. Karavayeva Ph.D. (Psychol.), Head of Psychological Service, GBON SOSh 799 (Moscow). E-mail: kea.77@mail.ru
Using the Probability Density Functions of the Saccade and Fixational Noise Amplitudes for Diagnostics of Neurological Diseases in Children with Learning Disabilities
M.I. Trifonov - Dr.Sc. (Eng.), Leading Research Scientist, I.M. Sechenov Institute of Evolutionary Physiology and Biochemistry of the Russian Academy of Sciences (Saint-Petersburg). E-mail: mtrifonov@mail.ru V.L. Efimova - Ph.D. (Ped.), Speech Therapist, OOO «Logoprognoz», Saint-Petersburg, Russia. E-mail: prefish@ya.ru O.I. Efimov - Child Neurologist, Director of MPK «Prognoz», Saint-Petersburg, Russia. E-mail: prefish@ya.ru V.P. Rozhkov - Ph.D. (Biol.), Leading Research Scientist, I.M. Sechenov Institute of Evolutionary Physiology and Biochemistry of the Russian Academy of Sciences (Saint-Petersburg). E-mail: vlrozhkov@mail.ru
Processing unstructured textual data for support of search and rescue operations
D.A. Devyatkin - Junior Research Scientist, Institute for Systems Analysis of FRC CSC RAS (Moscow). E-mail: devyatkin@isa.ru A.O. Shelmanov - Junior Research Scientist, Institute for Systems Analysis of FRC CSC RAS (Moscow). E-mail: shelmanov@isa.ru
Сhanges of time characteristics of central auditory information processing as a result of neuro-acoustic training on tomatis and intime methods in children
O.I. Efimov - Neurologist, Head of Pediatric Neurological Clinic «Prognoz» (St.-Petersburg). E-mail: prefish@ya.ru V.L. Efimova - Ph.D. (Ped.), Speech-language pathologist, Manager of Pediatric Therapy Center "Logoprognoz" (St.-Petersburg). E-mail: prefish@ya.ru V.P. Rozhkov - Ph.D. (Biol.), Leading Research Scientist, I.M.Sechenov Institute of Evolutionary Physiology and Biochemistry of the Russian Academy of Sciences (St.-Petersburg). E-mail: vlrozhkov@mail.ru
There is a connectionist model in building mathematics at hight school
V.V Goncharov - Dr.Sc. (Eng.), Professor, Head of Mathematical Department, Peter the Great Strategic Rocket Forces Academy (Moscow). E-mail: v_v_goncharov@mail.ru O.V. Mishenina - Ph.D. (Ped.), Professor, Department of Mathematics, Peter the Great Strategic Rocket Forces Academy (Moscow). E-mail: o.v.misyenina@gmail.com
The data clustering on the base of Self-organizing incremental neural networks and Markov clustering algorithm
Yu.S. Fedorenko - Post-Graduate Student, Bauman Moscow State technical University. E-mail: Fedyura1992@yandex.ru Yu.E. Gapanyuk - Ph.D. (Eng.), Associate Professor, Bauman Moscow State technical University. E-mail: gapyu@bmstu.ru
Impact of packet sampling on classification of network traffic by machine learning methods
O.I. Sheluhin - Dr.Sc. (Eng.), Professor, Head of Department "Information Security and Automation", Moscow Technical University of Communications and Informatics. E-mail: sheluhin@mail.ru Yu.A. Kalugin - Post-graduate Student, Department of "Information Security and Automation", Moscow Technical University of Communications and Informatics. E-mail: derron210@gmail.com
Features of self-learning rats to make the choice of conditional signals and reinforcements in an interactive environment
E.P. Murtazina - Ph.D. (Med.), Leading Researcher, P.K. Anochin Institute of Normal Physiology (Moscow). E-mail: e.murtazina@nphys.ru B.V. Gurkovsky - Junior Research Scientist, P.K. Anokhin Institute of Normal Physiology; Post-graduate Student, National Research Nuclear University "MEPhI" (Moscow). E-mail: boris.gurkovskiy@gmail.com B.V. Zhuravlev - Dr.Sc. (Med.), Professor, Head of Laboratory, P.K. Anokhin Institute of Normal Physiology (Moscow). E-mail: b.zhuravlev@nphys.ru
Information and communication technologies and the quality of education
A.V. Tkachenko - Ph.D. (Eng.), Associate Professor, Department of information systems and technologies, Southwest State University (Kursk). E-mail: tkachenko46@list.ru I.A. Korol\'kov - Ph.D. (Eng.), Associate Professor, Head of Department of innovative, Kursk State University. E-mail: kurator57@mail.ru M.A. Luneva - Post-graduate Student, Department of information systems and technologies, Southwest State University (Kursk). E-mail: luneva21marina @ mail.ru
Design and analysis of algorithm no-reference image quality assessment based on local binary patterns
A.L. Priorov - Dr.Sc. (Eng.), Associate Professor, P.G. Demidov Yaroslavl State University. E-mail: andcat@yandex.ru I.S. Nenakhov - Post-graduate Student, P.G. Demidov Yaroslavl State University. E-mail: zergoodsound@gmail.com V.V. Khryashchev - Ph.D. (Eng.), Associate Professor, P.G. Demidov Yaroslavl State University. E-mail: vhr@yandex.ru
The genetic learning algorithm of fuzzy inference system
M.I. Zernov - Dr.Sc. (Mil.), Professor, Department of Computer Engineering, Branch of National Research University «Moscow Power Engineering Institute» in Smolensk. E-mail: zmmioml@yandex.ru V.I. Sak-Sakovsky - Dr.Sc. (Mil.), Professor, Department of Computer Engineering, Branch of National Research University «Moscow Power Engineering Institute» in Smolensk. E-mail: zmmioml@yandex.ru A.V. Senkov - Ph.D.(Eng.), Associate Professor, Department of Computer Engineering, Branch of National Research University «Moscow Power Engineering Institute» in Smolensk. E-mail: a.v.senkov@mail.ru D.S. Bukachev - Ph.D. (Phys.-Math.), Associate Professor, Department of Mathematics and Computer Science, Smolensk State University.
Video sequence from ceiling cameras analysis for human detection
V.V. Khryashchev - Ph.D. (Eng.), Associate Professor, P.G. Demidov Yaroslavl State University. E-mail: vhr@yandex.ru D.V. Matveev - Post-graduate Student, P.G. Demidov Yaroslavl State University. E-mail: yar_volley@inbox.ru А.А. Lebedev - Master Student, P.G. Demidov Yaroslavl State University. E-mail: lebedevdes@gmail.com I.S. Nenakhov - Post-graduate Student, P.G. Demidov Yaroslavl State University. E-mail: zergoodsound@gmail.com
Bioradiolocation in contactless fall detection
M.K. Dremina - Master Degree Student, Biomedical Engineering Department, Bauman Moscow State Technical University E-mail: mary.dremina@student.bmstu.ru L.N. Anishchenko - Ph.D. (Eng.), Associate Professor, Senior Research Scientist, Research Section of Scientific and Educational Complex «Basic Sciences», Bauman Moscow State Technical University E-mail: anishchenko@rslab.ru
Integration of traditional and distant learning technologies based on the information content of the learning process
A.V. Tkachenko - Ph.D. (Eng.), Associate Professor, Department of Information Systems and Technologies, Southwest State University (Kursk) E-mail: tkachenko46@list.ru A.V. Sorokoletova - Ph.D. (Phil.), Associate Professor, Department of Foreign Languages, Southwest State University (Kursk) E-mail: mindami@gmail.com
New approaches to the evaluating of student\'s in the information educational environment of a military higher school
A.A. Elshin - Cherepovets Higher Military Engineering School of Radio Electronics E-mail: chvviur2@mil.ru A.V. Elshin - Ph. D. (Eng.), Associate Professor, Cherepovets Higher Military Engineering School of Radio Electronics E-mail: a_elshin@mail.ru M.M. Timonin - Cherepovets Higher Military Engineering School of Radio Electronics E-mail: chvviur2@mil.ru
Experience of training specialists on information-analytical systems based on big data technology
A.V. Shmid - Dr. Sc. (Eng.), Professor, Head of Department «Information-analytical systems», HSE (Moscow); Chairman of the Board of «EC-leasing Co.» B.A. Pozin - Dr. Sc. (Eng.), Senior Research Scientist, Professor, Department «Information-analytical system», HSE (Moscow); Technical Director of «EC-leasing Co.» E-mail: contact@ec-leasing.ru
Implementation of machine learning algorithms for spot magnetic characteristics of intrusion detectors enhancement
E.I. Dukhan - Ph. D. (Eng.), Assistant Professor А.E. Dukhan V.Yu. Sazonov
Methods of recognition and classification of images of structures of multicomponent materials for electronic systems
B.M. Loginov - Dr. Sc. (Phys.-Math.), Professor, Kaluga branch of the Bauman MSTU E-mail: bmloginov@kaluga.ru A.P. Korzhavyi - Dr. Sc. (Eng.), Professor, Kaluga branch of the Bauman MSTU E-mail: fn2kf@list.ru Yu.S. Belov - Ph. D. (Phys.-Math.), Associate Professor, Kaluga branch of the Bauman MSTU E-mail: ybs82@mail.ru R.V. Liberov - Assistant, Kaluga branch of the Bauman MSTU E-mail: bmloginov@kaluga.ru
Deep learning for BCI application
F.V. Stankevich - Post-graduate Student, Tomsk Polytechnical University E-mail: stankevichfv@tpu.ru V.G. Spitsyn - Dr.Sc. (Eng.), Professor, Tomsk Polytechnical University E-mail: spvg@tpu.ru
Weakly-sparse filters in image recognition
B.A. Knjazev - Research Engineer, Bauman Moscow State Technical University E-mail: bknyazev@bmstu.ru V.M. Chernenkiy - Dr.Sc. (Eng.), Head of Department of Information processing system and Management, Bauman Moscow State Technical University E-mail: chernen@bmstu.ru
Patterns of hippocampal activity during appetitive and aversive learning
A.I. Bulava Junior Research Scientist, V.B. Shvyrkov Laboratory of Neuronal Bases of Mind, Institute of Psychology of Russian Academy of Sciences (Moscow) E-mail: ai.bulava@mail.ru Y.V. Grinchenko Ph.D. (Med.), Senior Research Scientist, V.B. Shvyrkov Laboratory of Neuronal Bases of Mind, Institute of Psychology of Russian Academy of Sciences (Moscow) E-mail: nyugrink@psychol.ras.ru
Analysis of the deep neural networks characteristics in the context of digits recognition task
Y.S. Fedorenko - Post-graduate Student, Department «Information Processing and Control Systems», Bauman Moscow State Technical University E-mail: Fedyura1992@yandex.ru Yu.E. Gapanyuk - Ph.D. (Eng.), Associate Professor, Department «Information Processing and Control Systems», Bauman Moscow State Technical University E-mail: gapyu@bmstu.ru
Creation of integrated environment at the university for distance and blended education of engineering profile
R.S. Zagidullin - Ph.D. (Eng.), Associate Professor, Department of Radio-Electronic Systems and Devices, Bauman Moscow State Technical University E-mail: zag@bmstu.ru A.S. Chernikov - Ph.D. (Eng.), Dean of the Faculty of International Educational Programs, Head of Educational &Research Laboratory of Computer Information Systems and Technologies, Bauman Moscow State Technical University E-mail: chernik@bmstu.ru
Application of machine learning algorithms and neural networks for SCG signal classification

N.S. Konnova – Ph.D. (Eng.), Associate Professor, Bauman Moscow State Technical University

E-mail: nkonnova@bmstu.ru

V.Yu. Khaperskaya – Post-graduate Student, Bauman Moscow State Technical University

E-mail: lynx.lg@gmail.com

Deep learning in fall detection by bioradar means

L.N. Anishchenko – Ph.D. (Eng.), Associate Professor, Senior Research Scientist, Biomedical Engineering  Department, Research Section of scientific and educational complex “Fundamental Sciences”, 

Bauman Moscow State Technical University

E-mail: anishchenko@rslab.ru

Detection of anthropometric face points based on deep learning methods to recognize emotions

O.V. Melnik – Dr. Sc. (Eng.), Professor, Department “Information-Measuring and Biomedical Engineering”,  Ryazan State Radio Engineering University n.a. acad. V.F. Utkin

E-mail: omela111@yandex.ru

V.A. Sablina – Ph.D. (Eng.), Associate Professor, Department “Electronic Computing Machines”,  Ryazan State Radio Engineering University n.a. acad. V.F. Utkin

E-mail: flyingvictory@mail.ru

A.V. Savin – Post-graduate Student, Department “Electronic Computing Machines”, 

Ryazan State Radio Engineering University n.a. acad. V.F. Utkin

E-mail: savin.alex@mail.ru

A.B. Borschev – Undergraduate, Department “Electronic Computing Machines”, 

Ryazan State Radio Engineering University n.a. acad. V.F. Utkin

Machine learning in psycho-physiological state assessment by bioradar means

L.N. Anishchenko – Ph.D. (Eng.), Associate Professor, Senior Research Scientist, Research Section of scientific  

and Educational Complex “Basic Sciences”, Bauman Moscow State Technical University

E-mail: anishchenko@rslab.ru

A.V. Turetskaya – Student, Department “Biomedical Engineering”, Bauman Moscow State Technical University

E-mail: asi300@yandex.ru

A.S. Bugaev – Academician of RAS, Dr. Sc. (Phys.-Math.), Laboratory of Remote Sensing of the Scientific 

and Educational Complex “Fundamental Sciences”, Bauman Moscow State Technical University

E-mail: rslab@rslab.ru

Optimization of effort estimation assessment in software development based on the COCOMO model and its extensions

V.A. Galkin – Ph.D. (Eng.), Associate Professor,

Information Processing and Control Systems Department, Bauman Moscow State Technical University

E-mail: galkin@bmstu.ru

I.S. Biushkin − Master,

Information Processing and Control Systems Department, Bauman Moscow State Technical University

E-mail: biushkin.iwan@yandex.ru

Program code analysis using ensemble methods of machine learning

V.A. Galkin – Ph.D. (Eng.), Associate Professor,

Information Processing and Control Systems Department, Bauman Moscow State Technical University

E-mail: galkin@bmstu.ru I.S. Biushkin − Master,

Information Processing and Control SystemsDepartment, Bauman Moscow State Technical University

E-mail: biushkin.iwan@yandex.ru

U.V. Zhuravleva − Master,

Information Processing and Control Systems Department, Bauman Moscow State Technical University

E-mail: 3101zuv@mail.ru

Applying Reinforcement Learning in distribution computational system - Internet of Things

О.Y. Eremin – Ph.D. (Eng), 

Department «Computer Systems and Networks», Bauman Moscow State Technical University

E-mail: ereminou@bmstu.ru

M.V. Stepanova – Post-graduate Student, 

Department «Computer Systems and Networks», Bauman Moscow State Technical University

E-mail: stepanova@bmstu.ru

Improving the efficiency of education in a technical university

T.A. Onufrieva – Ph.D.(Eng.), Associate Professor, 

«Information Systems and Networks» Department, Kaluga Branch of the Bauman MSTU

E-mail: onufrievata@mail.ru

A.S. Sukhova – Student, 

«Information Systems and Networks» Department, Kaluga Branch of the Bauman MSTU

Е-mail: nastya_s@kaluga.ru

Reducing errors in estimating coordinates of radar objects due to machine learning

V.N. Zhurakovsky – Ph.D.(Eng.), Associate Professor, 

Bauman Moscow State Technical University

An overview of intellectual methods of controlling innovative scientific and technical projects

E.N. Gorlacheva¹, N.P. Goncharova²

1,2 Bauman Moscow State Technical University (Moscow, Russia), 

  1 gorlacheva@yandex.ru, 2 nataly.gonn79@gmail.com

The approach to increasing the efficiency of convolution algorithms in modern high-availability systems

E.I. Goncharov, P.L. Iljin, V.I. Munerman, T.A. Samoylova

Smolensk State University (Smolensk, Russia)

Development of a method for assessing the quality of machine translation based on ensemble methods in machine learning

A.V. Kozina, Yu.S. Belov

Kaluga Branch of the Bauman MSTU (Kaluga, Russia)

Prospects for the implementation of neural network technologies in radar information processing systems

E.V. Egorova¹, A.N. Rybakov², M.H. Aksyaitov³

1 MIREA – Moscow Technological University (Moscow, Russia)

2 FSUE «All-Russian Scientific Research Institute of Automation n. a. N.L. Dukhov» (Moscow, Russia)

3 JSC «Concern «Granit-Electron» (St.-Petersburg, Russia)

Prediction of perioperative parameters of laparoscopic organ-sparing interventions on the kidney taking into account the surgeon's "learning curve"

V.N. Gridin¹, I.A. Kuznetsov², A.I. Gazov³, E.S. Sirota4

1,2,3,4 Design Information Technologies Center Russian Academy of Sciences (DITC) (Moscow Region, Odintsovo, Russia)

4 I.M. Sechenov First Moscow State Medical University (Moscow, Russia)

A A simulation model of data on the technical condition of the functional systems of the radar when solving the problem of forecasting failures

V.M. Antoshina – Part-programming Engineer, 

JSC «A.L. Mints Radiotechnical Institute» (Moscow), HSSI MPTI

E-mail: vantoshina@rti-mints.ru

I.B. Zager – Head of the Educational Part – Deputy Head of the Department, 

Lomonosov Moscow State University

E-mail: igor2007@bk.ru

A.S. Logovsky – General Designer, 

JSC «A.L. Mints Radiotechnical Institute» (Moscow)

E-mail: logovsky@rti-mints.ru

K.V. Lvov – Student, 

Faculty of Physics, Lomonosov Moscow State University

E-mail: lvov.kv14@physics.msu.ru

A.Yu. Perlov – Head of Sector, 

JSC «A.L. Mints Radiotechnical Institute» (Moscow) E-mail: aperlov@rti-mints.ru

Implementation of practice-oriented training as a condition of effective professional training of radio engineers

A.V. Alekseenko – Scientific and Pedagogical Worker, 

Cherepovets Higher Military Engineering School of Radio Electronics

E-mail: cvviur6@mil.ru

V.V. Plashenkov – Dr.Sc.(Mil.), Professor, 

Cherepovets Higher Military Engineering School of Radio Electronics

E-mail: cvviur6@mil.ru

A.E. Alekseenko – Scientific and Pedagogical Worker, 

Cherepovets Higher Military Engineeringv School of Radio Electronics

E-mail: cvviur6@mil.ru

I.V. Chebotar – Dr.Sc.(Eng.), Scientific and Pedagogical Worker, 

Cherepovets Higher Military Engineering School of Radio Electronics

E-mail: cvviur6@mil.ru

I.O. Sharapov – Ph.D.(Eng.), Scientific and Pedagogical Worker,  Yaroslavl Higher Military School of Air Defense

Life-long education: why do we need it?

E.V. Belovol – 

Ph.D. (Psychol.), Professor, Department of Psychology of Personal Development, V.I. Lenin Moscow 

Pedagogical State University; Leader Research Scientist, Laboratory of Neurocognitive Communications,  A.S. Pushkin State Institute of Russian (Moscow) E-mail: belovol@mail.ru  Z.V. Boyko – 

Ph.D. (Psychol.), Associate Professor, Department of Management of Nursing Activities, Peoples' Friendship University of Russia (Moscow)

E-mail: boikozv@yandex.ru I.V. Radysh – 

Dr. Sc. (Med.), Professor, Аcademician REA, Head of the Department of Management of Nursing Activities, Peoples' Friendship University of Russia (Moscow)

E-mail: iradysh@mail.ru

E.Yu. Shurupova – 

Lecturer, Department of Psychology of Personality Development, 

V.I. Lenin Moscow Pedagogical State University 

E-mail: shurupovaelena@mail.ru

Construction of neural networks of various types using parabolic integrodifferential splines as activation functions

T.K. Biryukova – Ph.D.(Phys.-Math.), Senior Research Scientist, SPIN-code: 4318-5250 

Signal processing algorithm for neural networks with integrodifferential splines as an activation function and its particular case of image classification

T.K. Biryukova

FRC «Computer Science and Control» of RAS (Moscow, Russia)

Cluster analysis of information system users based on keyboard dynamics characteristics

A.P. Karpenko, Yu.V. Yamchenko, D.S. Dubrovkin

Bauman Moscow State Technical University (Moscow, Russia)

Configurable special VLSI – real basis for future exascale supercomputers (foreign and domestic experience)

L.K. Eisymont – Ph.D.(Phys.-Math.), The Federal Register of Scientific and Technical Experts  of the Russia Ministry of Education and Science (Moscow) E-mail: verger-lk@yandex.ru

Analysis of personality traits of social media users by automatic profile processing

M.A. Stankevich – Engineer, FRC «Computer Science and Control» of RAS (Moscow)

E-mail: stankevich@isa.ru

I.V. Smirnov – Ph.D.(Phys.-Math.), Head of Department, FRC «Computer Science and Control» of RAS (Moscow) E-mail: ivs@isa.ru

N.A. Ignatiev – Student, RUDN Univercity (Moscow)

E-mail: naignatiev@yandex.com

N.V. Kiselnikova – Ph.D.(Psych.), Head of Laboratory, Psychological Institute of Russian Academy of Education (Moscow) E-mail: nv.pirao@gmail.com

M.M. Danina – Ph.D.(Psych.), Senior Research Scientist, Psychological Institute of Russian Academy of Education (Moscow) E-mail: mdanina@yandex.ru

Application of machine learning algorithms for solving information security problems

Yu.V. Vinogradov – Head of Department, LLC «SSEC-Service» (Moscow)

E-mail: vinogradov_yv@ssec.ru

A.N. Nazarov – Dr.Sc.(Eng.), Professor, FRC «Computer Science and Control» of RAS (Moscow) E-mail: a.nazarov06@bk.ru

A.K. Sychev – Leading Mathematic Engineer, LLC «SSEC-Service» (Moscow) E-mail: sychev_a_k@mail.ru

Method of synthesis of a digital antenna array with logic signal processing

S. E. Mishchenko¹, V. V. Shatskiy², P. N. Bashly³, M. S. Mishchenko4

1, 2 Rostov-on-Don Research Institute of Radio Communication (Rostov-on-Don, Russia)

3, 4 Russian Customs Academy, Rostov-on-Don Branch (Rostov-on-Don, Russia)

Applying and comparing multiple machine learning techniques to detect fraudulent credit card transactions

D.V. Berezkin, Shi Runfang, Li Tengjiao

Bauman Moscow State Technical University (Moscow, Russia)

Detecting internet attacks using a neural network

V.A. Zabelina, G.A. Savchenko, I.M. Chernenky, E.Yu. Silantieva

Bauman Moscow State Technical University (Moscow, Russia)

Application of intelligent technologies for modeling of controlled switching systems

D.Y. Openkin1, S.V. Chernomordov2

1,2 Yelets Bunin Yelets State University (Yelets, Russia) 

System design of neurocomputers on microcontrollers in conditions of limited resources

K.V. Selivanov1, V.S. Klimachev2

1–2 Department IU4 of Designing and Technology of Electronic Equipment, Bauman Moscow State Technical University (Moscow, Russia)

A high generalization capability artificial neural network architecture based on RBF-network

M.A. Abrosimov – Post-graduate Student, 

Department of Applied Information Technologies, Yuri Gagarin State Technical University of Saratov E-mail: destinywatcher@gmail.com

A.V. Brovko – Dr. Sci. (Phys.-Math.), Professor, 

Department of Applied Information Technologies, Yuri Gagarin State Technical University of Saratov

Email: brovkoav@gmail.com

Classification of anomalous states of computer systems by means of intellectual analysis of system journals

O.I. Sheluhin – Dr. Sc. (Eng.), Professor, Head of the Department of «Information Security»,  Moscow technical university of communications and informatics, E-mail: sheluhin@mail.ru

D.V. Kostin – Post-graduate Student,

Department of «Information Security», 

Moscow technical university of communications and informatics, E-mail: d.v.kostin@mail.ru

Filter selection for image processing before the landmark detection stage for micro-expression analysis

O.V. Melnik1, V.A. Sablina2, G. Burresi3, A.V. Savin4

1,2,4 Ryazan State Radio Engineering University n. a. akad. V.F. Utkin (Ryazan, Russia)

3 Siena University

Methods and technologies of machine learning in neural network for computer vision purposes

A.A. Adamova, V.A. Zaykin, D.V. Gordeev

Bauman Moscow State Technical University (Moscow, Russia)

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

An approach to assessing the technical condition of elements and nodes of transport systems using neural network modeling methods and digital twin technology

V.V. Belousov1,O.V. Druzhinina2, E.R. Korepanov3,  I.V. Makarenkova4, V.V. Maksimova5

1-5 FRС «Computer Science and Control» of RAS (Moscow, Russia)

Data processing using deep learning of the generative-adversarial neural network (GAN)

V.Y. Ilichev1, I.V. Chukhraev2

1, 2 Kaluga Branch of the Bauman MSTU (Kaluga, Russia)

Knowledge distillation of convolutional neural network models on inaccurately labeled data for automatic text CAPTCHA recognition on mobile devices

V.I. Terekhov1, D.O. Ishkov2

1–3 Bauman Moscow State Technical University (Moscow, Russia)

Two-stage procedure of neural network sentiment analysis for texts in russian

A.S. Volkov1, M.V. Chernenky2, E. Yu. Silantieva3

1,2 Bauman Moscow State Technical University (Moscow, Russia)

A computer system for searching and evaluating thermal anomalies in volcano images

I.P. Urmanov1, S.P. Korolev2, A.N. Kamaev3

1–3 Computing Center FEB RAS (Khabarovsk, Russia)

Preparing users to work with moodle in the local workplace

R.S. Zagidullin1, A.S. Chernikov2

1–5 Bauman Moscow State Technical University (Moscow, Russia)

Application of the neural network model of Hopfield’s associative memory in the task of processing radar information

E.V. Egorova1, M.H. Aksayitov2, A.N. Ribakov3

1 MTU MIREA (Moscow, Russia)

2 JSC OKB Electroautomatics (Moscow, Russia)

3 FSUE VNIIA named after N.L. Dukhova (Moscow, Russia)

Method for solving social dilemmas based on multi-agent learning and reputation

A.N. Alfimtsev1, S.A. Sakulin2, V.E. Bolshakov3, N.V. Bykov4, M.S. Tovarnov5, N.S. Vlasova6

1–6 Bauman Moscow State Technical University (Moscow, Russia)

Application of machine learning methods in problems of neural network modeling of controlled technical systems

S.V. Chernomordov1, O.V. Druzhinina2, O.N. Masina3, A.A. Petrov4

1, 3, 4 Bunin Yelets State University (Yelets, Russia)

2 FRС «Computer Science and Control» of RAS (Moscow, Russia)

Application of artificial intelligence systems in electrocardiography

A.I. Vlasov1, S.E. Gyulmalieva2, Y.S. Liber3, S. Abdulkade4

1–4 Bauman Moscow State Technical University (Moscow, Russia)

Development of algorithmic support for modeling nonlinear control switching systems

A.A. Petrov1, O.V. Druzhinina2, O.N. Masina3

1, 3 Bunin Yelets State University (Yelets, Russia)

2 FRС «Computer Science and Control» of RAS (Moscow, Russia)

Application of cascading classification algorithms to improve in-trusion detection systems

A.N. Chesalin1

1 MIREA - Russian Technological University (Moscow, Russia)

High-precision interpolation of the GNSS satellites orbits by machine learning on extended SP3-data

A.S. Pustoshilov – Post-graduate Student, Siberian Federal University (Krasnoyarsk)

E-mail: alphasoft@inbox.ru

S.P. Tsarev – Dr.Sc. (Phys.-Math.), Professor, Siberian Federal University (Krasnoyarsk)

E-mail: sptsarev@mail.ru

Development of neural network algorithm for emotion recognition on facial image

O.A. Stepanova – Post-graduate Student, Infocommunication and Radiophysics Department, 

P.G. Demidov Yaroslavl State University E-mail: olga1stepanova@yandex.ru

L.I. Ivanovsky – Post-graduate Student, Computer Network Department, 

P.G. Demidov Yaroslavl State University E-mail: leonel-unknown@yandex.ru

V.V. Khryashchev – Ph.D. (Eng.), Infocommunication and Radiophysics Department,  P.G. Demidov Yaroslavl State University

E-mail: vhr@yandex.ru

A.L. Priorov – Dr.Sc. (Eng.), Infocommunication and Radiophysics Department, 

P.G. Demidov Yaroslavl State University

E-mail: andcat@yandex.ru

Theoretical issues and ways of practical implementation of adaptive systems for clutter compensation in impulse radars

B.М. Vovshin – Dr.Sc. (Eng.), Head of Department, Design Bureau of JSC «RPC «Lianozovo Electromechanical Plant»; Professor, Moscow Technical University (MIREA)

E-mail: boris@eleron.net

I.S. Vylegzhanin – Ph.D. (Phys.-Math.), Chief Engineer, Design Bureau of JSC «RPC «Lianozovo Electromechanical Plant» E-mail: isv1980@yandex.ru

А.N. Korneev – Head of Sector, Design Bureau of JSC «RPC «Lianozovo Electromechanical Plant» E-mail: akorneev@lemz.ru

V.V. Lavrukevich – Ph.D. (Eng.), Leading Engineer, Design Bureau of JSC «RPC «Lianozovo Electromechanical Plant» E-mail: lvv.0xff@gmail.com

А.А. Pushkov – Ph.D. (Eng.), Senior Research Scientist, Design Bureau of JSC «RPC «Lianozovo Electromechanical Plant» E-mail: minipooh@yandex.ru

Precise modeling of slant total electron contents with multidimensional free interpolation

M.M. Valikhanov – Ph.D. (Eng.), Associate Professor, Siberian Federal University (Krasnoyarsk)

E-mail: mvalikhanov@sfu-kras.ru

V.V. Denisenko – Dr.Sc. (Phys.-Math.), Professor, Siberian Federal University (Krasnoyarsk); 

Institute of computational modeling SB RAS (Krasnoyarsk)

E-mail: denisen@icm.krasn.ru

S.P. Tsarev – Dr.Sc. (Phys.-Math.), Professor, Siberian Federal University (Krasnoyarsk) E-mail: sptsarev@mail.ru

Two-point free nonlinear interpolation of coordinates and velocities of navigation satellites from SP3 data

A.S. Pustoshilov – Post-graduate Student, Siberian Federal University (Krasnoyarsk)

E-mail: alphasoft@inbox.ru

Yu.Yu. Ushakov – Ph.D. (Phys.-Math.), Associate Professor, Siberian Federal University (Krasnoyarsk) E-mail: yushakov@sfu-kras.ru

S.P. Tsarev – Dr.Sc. (Phys.-Math.), Professor, Siberian Federal University (Krasnoyarsk) E-mail: sptsarev@mail.ru

Neurological disease prediction using machine learning methods

K.S. Myshenkov1, Nekoula Haddad 2

1,2 Bauman Moscow State Technical University (Moscow, Russia)
 

Hierarchical classifier of short text fragments construction algorithm based on fuzzy graph clustering

P.V. Dudarin – Post-graduate Student, Department «Information Systems», Ulyanovsk State Technical University E-mail: pavel.dudarin@gmail.com

N.G. Yarushkina – Dr. Sc. (Eng.), Professor, Head of Department «Information Systems», Ulyanovsk State Technical University E-mail: jng@ulstu.ru

Analysis of methods for extracting information from text data

G.S. Ivanova1, P.A. Martynyuk2

1,2 Bauman Moscow State Technical University (Moscow, Russia)

Transformers and their application in credit scoring

D.V. Isaev1, V.G. Feklin2, A.A. Kochkarov3

1-3 Financial University under the Government of the Russian Federation (Moscow, Russia)

Use of ALEXNET and VGGNET convolutional networks in the problem of image classification of welded joints

T.Yu. Tsibizova1, Abderrazek Abdessellem2

1–3 Bauman Moscow State Technical University (Moscow, Russia)
 

Analysis of efficiency of the bagging for binary classification at technical diagnostics

Yu.E. Kuvayskova – Ph.D.(Eng.), Associate Professor, Department «Applied Mathematics and Informatics»,

Ulyanovsk State Technical University

E-mail: u.kuvaiskova@mail.ru

V.N. Klyachkin – Dr.Sc.(Eng.), Professor, Department «Applied Mathematics and Informatics», 

Ulyanovsk State Technical University

E-mail: v_kl@mail.ru

Diagnostics of technical state of the equipment using aggregated classifiers

V.N. Klyachkin – Dr.Sc.(Eng.), Professor, Department «Applied Mathematics and Informatics»,  Ulyanovsk State Technical University

E-mail: v_kl@mail.ru

Yu.E. Kuvayskova – Ph.D.(Eng.), Associate Professor, Department «Applied Mathematics and Informatics», Ulyanovsk State Technical University

E-mail: u.kuvaiskova@mail.ru

D.A. Zhukov – Post-graduate Student, Department «Applied Mathematics and Informatics»,  Ulyanovsk State Technical University

E-mail: zh.dimka17@mail.ru

Using a neural network to select methods for predicting time series in a hybrid combined model

D.V. Yashin – Post-graduate Student, Ulyanovsk State Technical University

E-mail: dv.yashin@yandex.ru

E.N. Egov – Assistant, Ulyanovsk State Technical University E-mail: e.egov@ulstu.ru

Basic principles of machine learning methods application for the evaluation of the functioning of radar stations

I.A. Kalinov – Project Manager, JSC «Concern «RTI Systems» (Moscow); 

Post-graduate Student, Moscow Institute of Physics and Technology (State University) E-mail: tej@frtk.ru

A.A. Kochkarov – Ph.D.(Phys.-Math.), Associate Professor, Deputy Director of STC-3, JSC «RTI» (Moscow); 

Senior Research Scientist, V.A. Trapeznikov Institute of Control Sciences of RAS (Moscow)

E-mail: akochkar@gmail.com, AKochkarov@oaorti.ru

S.S. Matveeva – Leading Engineer, JSC «A.L. Mints Radiotechnical Institute» (Moscow) E-mail: s.s.matveeva@gmail.com

Method of analysis of the state of technological processes

A.A. Sychugov – Ph.D.(Eng.), Associate Professor, 

Head of Department «Information Security», Tula State University

E-mail: xru2003@list.ru

A.P. Anchishkin – Student, 

Department «Information Security», Tula State University

E-mail: alexan999@yandex.ru

D.V. Chernov – Assistant, 

Department «Information Security», Tula State University; Head of the Information Security Sector, JSC ADC (Tula) E-mail: cherncib@gmail.com

The use of neural networks for solving classification problems in diagnosing malfunctions of transport systems

V.V. Belousov1, O.V. Druzhinina2, E.R. Korepanov3, I.V. Makarenkova4, V.V. Maksimova5

1-5 FRС «Computer Science and Control» of RAS (Moscow, Russia)

Exploratory data analysis of dataset with bank card transactions

G.S. Ivanova1, Y.O. Fokina2

1,2 Bauman Moscow State Technical University (Moscow, Russia)

Methods of analysis of cognitive distortions and the concept of an automated intelligent system for their detection

A.S. Kozharinov1, Yu.A. Kirichenko2, I.V. Afanasiev3, N.P. Labuz4, A.I. Vlasov5

1,2 National University of Science and Technology “MISiS” (Moscow, Russia)

3-5 Bauman Moscow State Technical University (Moscow, Russia)

Face image biometric verification algorithm based on deep convolution neural network

V.V. Khryashchev – Ph. D. (Eng.), Associate Professor of Department of Infocommunication and Radiophysics, P.G. Demidov Yaroslavl State University

E-mail: vhr@yandex.ru

A.A. Lebedev – Master of Department of Infocommunication and Radiophysics, 

P.G. Demidov Yaroslavl State University

E-mail: lebedevdes@gmail.com

A.M. Shemyakov – Post-graduate Student of Department of Infocommunication and Radiophysics, 

P.G. Demidov Yaroslavl State University

E-mail: andrey.shemiakov@gmail.com

V.A. Pavlov – Post-graduate Student of Department of Infocommunication and Radiophysics,  P.G. Demidov Yaroslavl State University

E-mail: i@yajon.ru

Experimental model and software for the recognition of mental true and false responses on the basis of electroencephalogram analysis

E.A. Yumatov – Dc. Sc. (Med.), Professor, Academician of the International Academy of Science (Russian Section);  Chief Research Scientist, P.K. Anokhin Research Institute of Normal Physiology (Moscow)

E-mail: eayumatov@mail.ru

V.Yu. Potapov – Engineer, AS “Interfax” (Moscow)

N.A. Karatygin – Ph.D. (Biol.), Research Scientist, P.K. Anokhin Research Institute of Normal Physiology (Moscow)

S.S. Pertsov – Dr.Sc. (Med.), Professor, Corresponding Member of RAS; Deputy Director on Scientific Work, Head of laboratory system mechanisms of an emotional stress, P.K. Anokhin Research Institute of Normal Physiology (Moscow);  Head of Department of Normal Physiology and Medical Physics, Moscow State Medico-Dental University  n.a. A.I. Evdokimov of the Ministry of Health of the Russian Federation

E-mail:s.pertsov@mail.ru

Non-contact automated detection of aggressive human behavior using a multichannel complex

L.N. Anishchenko – Ph.D. (Eng.), Associate Professor, Senior Research Scientist, Biomedical Engineering Department, Research Section of scientific and educational complex “Fundamental Sciences”, Bauman Moscow State Technical University

E-mail: anishchenko@rslab.ru

A.V. Zhuravlev – Ph.D. (Phys.-Math.), Leading Research Scientist, Research Section of scientific and educational complex “Fundamental Sciences”, Bauman Moscow State Technical University

E-mail: azhuravlev@rslab.ru

V.V. Razevig – Ph.D. (Eng.), Senior Research Scientist, Research Section of scientific and educational complex “Fundamental Sciences”, Bauman Moscow State Technical University

E-mail: vrazevig@rslab.ru

M.A. Chizh – Ph.D. (Phys.-Math.), Junior Research Scientist, Research Section of Scientific and Educational Complex “Fundamental Sciences”, Bauman Moscow State Technical University 

E-mail: mchizh@rslab.ru

Monitoring computer systems for anomaly detection by analysis of log files using machine learning techniques

O.I. Sheluhin – Dr. Sc. (Eng.), Professor, Head of the Department of «Information Security», Moscow technical university of communications and informatics,

E-mail: sheluhin@mail.ru

D.V. Kostin – Post-graduate Student, Department of «Information Security», Moscow technical university of communications and informatics,

E-mail: d.v.kostin@mail.ru

Anticlassification algorithm for targeted computer attack detection in web-oriented honeypot

A.S. Vishnevsky – Post-graduate Student, Information Security Department, Faculty of Informatics and Control Systems, Bauman Moscow State Technical University

E-mail: andrey.s.vishnevsky@gmail.com

P.G. Klyucharev – Ph.D. (Tech.), Associate Professor, Information Security Department, Faculty of Informatics and Control Systems, Bauman Moscow State Technical University

E-mail: pk.iu8@yandex.ru

Machine learning for metagraph knowledge base trained on results of text mining

A. I. Kanev – Post-graduate Student, Bauman Moscow State Technical University (Moscow, Russia) E-mail: kanevai@student.bmstu.ru

Approach to the creation of a hybrid intellectual system of determining the location of objects by their photographs

A. V. Proletarsky – Dr.Sc. (Eng.), Professor, Dean of Faculty «Informatics and control systems», Bauman Moscow State Technical University

E-mail: pav@bmstu.ru

D. V. Berezkin – Ph.D. (Eng.), Associate Professor, Department of Computer Systems and Networks, Bauman Moscow State Technical University

E-mail: berezkind@bmstu.ru

V. I. Terekhov – Ph.D. (Eng.), Associate Professor, Department of Information Processing Systems and Management, Bauman Moscow State Technical University

E-mail: terekchow@bmstu.ru

P. A. Sekirin – Master’s Degree Student, Department of Information Processing Systems and Management, Bauman Moscow State Technical University

E-mail: sekirinp@gmail.com

I. E. Sergeev – Master’s Degree Student, Department of Computer Systems and Networks, Bauman Moscow State Technical University

E-mail: ilay19940@gmail.com

V. Yu. Sidorov – Master’s Degree Student, Department of Computer Systems and Networks, Bauman Moscow State Technical University

E-mail: sidorow.valentin@gmail.com

Network traffic database creation for automation of Android mobile applications classification

O. I. Shelukhin – Dr.Sc. (Eng.), Professor, Head of Department of Information Security, Moscow Technical University of Communication and Informatics

E-mail: sheluhin@mail.ru

S. D. Erokhin – Ph.D. (Eng.), Associate Professor, Rector of Moscow Technical University of Communication and Informatics

E-mail: s.d.erokhin@gmail.com

V. V. Barkov – Assistant Lecturer, Department of Information Security, Moscow Technical University of Communication and Informatics

E-mail: viacheslav.barkov@gmail.com

Network anomaly detection and classification using a combination of two artificial neural networks

O. I. Shelukhin – Dr.Sc. (Eng.), Professor, Head of Department of Information Security, Moscow Technical University of Communication and Informatics

E-mail: sheluhin@mail.ru

V. O. Musatov – Master’s Degree Student, Department of Information Security, Moscow Technical University of Communication and Informatics

E-mail: vladimirus@protonmail.com

Neural network methods for integral structure non-destructive testing

A. Yu. Viryasova – Master, Bauman Moscow State Technical University

E-mail: virnastya@yandex.ru

A. I. Vlasov – Ph.D. (Eng.), Associate Professor, Department of Design and Production Technology of Electronics, Bauman Moscow State Technical University

E-mail: vlasovai@bmstu.ru

A. A. Gladkikh – Ph.D. (Eng.), Associate Professor, Department of Design and Production Technology of Electronics, Bauman Moscow State Technical University

E-mail: a.gladkikh@inforion.ru

Modification of the algorithm for identification and categorization of scientific terms through a neural network

V. V. Bakhtin – Post-graduate Student, Department of Automatics and Telemechanics, Perm State National Research University; Design Programmer, “Satellite” LLC (Perm)

E-mail: bakhtin_94@bk.ru

A track measurement and analysis of micro saccades in children with specific developmental disorders of scholastic skills when eye tracking a moving stimulus

V.L. Efimova – Ph.D. (Ped.), Principal Director, Scientific Research «Prognoz» Group Neurological Clinics (Saint-Petersburg)

E-mail: prefish@ya.ru

A.V. Novozhilov – Ph.D. (Biol.), Research Scientist, I.M. Sechenov Institute of Evolutionary Physiology and Biochemistry of the RAS (Saint-Petersburg)

E-mail: prefish@ya.ru

A.V. Savelyev – Ph.D. (Philos.), Senior Research Scientist, Director of the Patent agency «©Uniquely honest patenting», Faculty of Philosophy, Faculty of Public Administration, Moscow State University M.V. Lomonosov;  Chief Engineer for Quality Management at VMZ at the Military Register SDS

E-mail: gmkristo@yandex.ru

How to construct training systems with modern multimedia and speech technologies

S.V. Vas'kovskii − Ph.D. (Eng.), Senior Scientist, V.A. Trapeznikov Institute of Control Sciences of RAS (Moscow)

E-mail: v63v@yandex.ru

L.A. Nadeinskii  − Senior Software Engineer, V.A. Trapeznikov Institute of Control Sciences of RAS (Moscow)

E-mail:superpub@yandex.ru

Atomic machine learning

S.Yu. Eremenko − Dr.Sc. (Eng.), Professor, Director of Soliton Scientific Pty Ltd (Sydney, Australia) 

E-mail: sergei@solitonscientific.com

The concept of a self-learning adaptive trainer

L.S. Kuravsky − Dr.Sc. (Eng.), Professor, Dean of Computer Science Faculty, Moscow State University of Psychology and Education

E-mail: l.s.kuravsky@gmail.com

A.A. Margolis − Ph.D. (Psych.), Provost, Moscow State University of Psychology and Education 

E-mail: margolisaa@mgppu.ru 

G.A. Yuryev − Ph.D. (Phys.-Math.), Associate Professor, Deputy Dean, Computer Science Faculty,  Moscow State University of Psychology and Education

E-mail: g.a.yuryev@gmail.com 

D.A. Pominov − Research Scientist, Computer Science Faculty,  Moscow State University of Psychology and Education

E-mail: pominovda@mgppu.ru

Ophthalmic neurocomputer of eye fixations when reading among young school children with learning difficulties

V.L. Efimova – Ph.D. (Ped.), Principal Director of Scientific Research «Prognoz» Group Neurological Clinics (Saint-Petersburg)

E-mail: prefish@ya.ru

A.V. Novozhilov – Ph.D. (Biol.), Research Scientist, I.M. Sechenov Institute of Evolutionary Physiology  and Biochemistry of the Russian Academy of Sciences (Saint-Petersburg)

E-mail: prefish@ya.ru

N.A. Ryabchikova – Dr.Sc. (Biol.), Senior Research Scientist, Senior of The Higher Nervous Activity,  Faculty of Biology, Lomonosov Moscow State University  

E-mail: nat@guesstest.ru

The formalization of a mathematical model of a gate with a trained neural network hidden layer

T.E. Mikhailyuk – Post-graduate Student, Department of Electronics and Biomedical Technology,  Ufa State Aviation Technical University 

E-mail: realotoim@mail.ru

S.V. Zhernakov – Dr.Sc. (Eng.), Professor, Head of Department of Electronics and Biomedical Technology,  Ufa State Aviation Technical University 

E-mail: zhsviit@mail.ru

Neurocomputing in the study of characteristics of оculomotor activity among children with attention deficit hyperactivity disorder and specific developmental disorders of scholastic skills

V.L. Efimova – Ph.D. (Ped.), Principal Director of Scientific Research «Prognoz» group neurological clinics (Saint-Petersburg)

E-mail: prefish@ya.ru

A.V. Novozhilov – Ph.D. (Biol.), Research Scientist, I.M. Sechenov Institute of Evolutionary Physiology  and Biochemistry of the Russian Academy of Sciences (Saint-Petersburg)

E-mail: prefish@ya.ru

Dementia simulation based on the disruption imitation of neural network synaptic connections

A.E. Krasnov1, T.N. Krasnova2

1 Russian State Social University (Moscow, Russia)

2 Moscow State University named after M.V. Lomonosov (Moscow, Russia)

Time factor and sensorimotor integration post-survey examination of junior schoolchildren with difficulties in training before and after training

V.L. Efimova – Ph.D. (Ped.), Principal Director of Scientific Research  “Prognoz” Group Neruological Clinics (Saint-Petersburg)

E-mail: prefish@yandex.ru

Frequency and amplitude of saccades in children with learning disabilities tracking the stimulus moving disretely along a spiral trajectory

M.I. Trifonov – Dr.Sc.(Eng.), Leading Research Scientist, I.M.Sechenov Institute of Evolutionary Physiology and Biochemistry of the Russian Academy of Sciences (Saint-Petersburg)

E-mail: mtrifonov@mail.ru

V.L. Efimova – Ph.D. (Ped.), Principal Director of Scientific Research “Prognoz” Group Neruological Clinics (Saint-Petersburg)

E-mail: prefish@yandex.ru

Multiparametric model for the formation of feature descrip-tions of objects for studying the properties of classification algo-rithms

K.V. Sazonov1, M.V. Tatarka2

1 Military University of Radio Electronics (Cherepovets, Russia)
2 18 Federal State Unitary Enterprise Research Institute of the Ministry of Defense of the Russian Federation (Moscow, Russia)
 

Fall detection in humans using video surveillance and transfer learning

V.S. Lobanova1, L.N. Anishchenko2, V.V. Slizov3, E.S. Smirnova4

1–4 Bauman Moscow State Technical University (Moscow, Russia)

Increasing the efficiency of spam filtering based on machine learning methods in messages different nature

I.А. Chizhova1, E.I. Kublik2, M.S. Chipchagov3, A.I. Labintsev4

1-4 Financial University under the Government of the Russian Federation (Moscow, Russia)

Comparison of supervised AutoML and supervised ML methods for solving image recognition problems

N.A. Andriyanov1, Y.B. Kamalova2, Moiseev G.V.3

1,2 Financial University under the Government of the Russian Federation (Moscow, Russia)

Hardware in artificial intelligence

N.A. Andriyanov1

1 Financial University under the Government of the Russian Federation (Moscow, Russia)

System for predicting the effective price of ordering a taxi service using machine learning algorithms

V.E. Dementiev1, N.A. Andriyanov2

1 Ulyanovsk State Technical University (Ulyanovsk, Russia)

2 Financial University under the Government of the Russian Federation (Moscow, Russia)

An approach for estimating trees parameters using LiDAR data

S.I. Chumachenko1, V.I. Terekhov2, E.T. Mitrofanov3, I.A. Grishin4

1, 3 Mytishchi branch of Bauman Moscow State Technical University
2, 4 Bauman Moscow State Technical University (Moscow, Russia)
 

Application of machine learning methods in plagiarism detection systems in order to solve the problem of highly specialized concepts

I.I. Starkov1, A.I. Vlasov2

1,2 Bauman Moscow State Technical University (Moscow, Russia)

Memristive technologies for the implementation of a neural network element base

V.P. Zhalnin1, V. Aiguzhin2, M.E. Apakov3, A.M. Panfilkin4

1–4 Bauman Moscow State Technical University (Moscow, Russia)

New capabilities of wideband cognitive communication systems operating over ionospheric HF radio channels with intramode dispersion

D.V. Ivanov1, V.A. Ivanov2, N.V. Ryabova3, V.V. Ovchinnikov4

1-4 Volga State University of Technology (Yoshkar-Ola, Russia)

Application of the Seshu-Waxman approach and the Kohonen algorithm to the problem of electrical diagnostics of analogue circuits

S.U. Uvaysov1, V.V. Chernoverskaya2, Nguyen Van Tuan3, Nguyen Viet Dang4

1-4 RTU MIREA (Moscow, Russia)

Approach to neural network modeling of the propagation of electromagnetic waves

A.A. Petrov1, O.V. Druzhinina2, O.N. Masina3

1, 3 Bunin Yelets State University (Yelets, Russia)

2 FRС «Computer Science and Control» of RAS (Moscow, Russia)

Automated city security systems based on sound data analysis

A.S. Vyugina¹, E.I. Kublik², M.S. Chipchagov³, A.I. Labintsev⁴

1,2 Russian Technological University MIREA (Moscow, Russia)

2−4 Financial University under the Government of RF (Moscow, Russia)

Application of machine learning methods in plagiarism detection systems in order to solve the problem of highly specialized concepts

I.I. Starkov1, A.I. Vlasov2

1,2 Bauman Moscow State Technical University (Moscow, Russia)
 

Intelligent analysis of microwave radiothermometry data in medical diagnostics

A.G. Losev1, I.E. Popov2, A.G. Gudkov3, S.V. Chizhikov4

1,2 Volgograd State University (Volgograd, Russia)
3 4 Bauman Moscow State Technical University (Moscow, Russia)
3 LLC Research and Production Innovation Firm HYPERION (Moscow, Russia)
 

Automatic speaker age and gender recognition based on deep neural networks

M.V. Markitantov – Junior Research Scientist,
St. Petersburg Institute for Informatics and Automation of RAS

A.A. Karpov – Dr.Sc.(Eng.), Associate Professor, Main Research Scientist,
St. Petersburg Institute for Informatics and Automation of RAS

Neural network architectures for educational processes modeling

D.D. Matorin1, A.Yu. Cherepkov2, D.S. Zaitsev3

1–3 Bunin Yelets State University (Yelets, Russia)
 

Model for through wall detecting a person using bioradar

O.F. Antonov, Y.A. Sergeev, S.G. Kovalenko

An age-invariant face recognition model

V.A. Ivanov, A.A. Smirnov, K.D. Galev

Development and study of a method for automated recognition of Parkinson's disease based on a combination of features of motor activity of the hands, mimic activity and facial expressiveness

A.A. Moshkova1, A.V. Samorodov2, N.A. Voinova3, A.K. Volkov4, M.V. Ershova5, E.O. Ivanova6, E.Y. Fedotova7

1,2 Bauman Moscow State Technical University (Moscow, Russia)
3,4 Scientific and Educational Medical-Technological Center of Bauman Moscow State Technical University (Moscow, Russia)
5–7 Research Center of Neurology, 5th neurological department (Moscow, Russia)

Application of intelligent technologies for modeling of controlled switching systems

D.Y. Openkin1, S.V. Chernomordov2

1,2 Yelets Bunin Yelets State University (Yelets, Russia)
 

Method of objects’ verification on radar images using ensembles of neural networks

N.D. Badanina1, V.V. Dudihin2, I. Yu. Mezhuev3, N.S. Novikova4, I.Yu. Yakupov5

1–5 JSC «Distant Radiocommunication Scientific Research Institute» (Moscow, Russia)

Recognition of diabetic retinopathy on digital images of the fundus using convolutional neural networks of deep learning

A.N. Narkevich1, T.Н. Mamedov2, D.V. Dzyuba3

1–3 FSBEI НЕ Prof. V.F. Voino-Yasenetsky Krasnoyarsk State Medical University MOH Russia (Krasnoyarsk, Russia)

Analysis of the instrumental support for heterogeneous computing using neural network modeling

A.A. Petrov1, S.V. Chernomordov2, M.A. Kabanov3

1–3 Bunin Yelets State University (Yelets, Russia)

Automated neural network system for analyzing the emotional state of a person-operator

B.K. Abdulaev1, A.I. Vlasov2, T.M. Fatkhutdinov3

1–3 Bauman Moscow State Technical University (Moscow, Russia)

The use of convolutional neural network in the analysis of electrocardiograms

O.V. Nepomnyashchiy1, A.G. Khantimirov2, M.M.I. Al-sagheer3, S. Shabir4

1–4 Siberian Federal University (Krasnoyarsk, Russia)

Using artificial intelligence methods to recognize radar stations based on the radio technical parameters of signals with filtering signals from radar stations not taken into account in the training set

B.B. Nikolenko1, D.I. Kuznetsov2, V.A. Podkovkin3, P.B. Popov4, A.N. Nikulina5

1-5 JSC “CNIRTI named after academician A.I. Berg” (Moscow, Russia)

1 bb.nikolemko@gmail.com; 2 utsy@mail.ru; 3 pva.podkovkin@gmail.com; 4 paborpop@gmail.com; 5 alex.post-x@yandex.ru

Analysis of the emotional content of text messages with a mixed code

K.V. Sazonov1, A.A. Makunin2

1,2 Military University of Radio Electronics (Cherepovets, Russia)

Image segmentation of colorectal polyps during colonoscopy using neural networks

V.V. Khryashchev1

1 P.G. Demidov Yaroslavl State University (Yaroslavl, Russia)

Architectural principles for constructing machine learning pipelines for solving the problem of controlling the process of analyzing Earth remote sensing data

D.S. Kumankin1, S.A. Yamashkin2

1,2 National Research Mordovia State University (Saransk, Russia)

The 3D-objects recognition by a short-pulse laser location system based on morphological analysis of reflected signals

I.M. Akhmetov1, L.V. Labunets2, Ya.I. Efryushkina3

1–3 Bauman Moscow State Technical University (Moscow, Russia)

2 Russian New University (Moscow, Russia)

Use of artificial neural networks to assess the impact of electromagnetic interference

M.A. Romashchenko1, D.V. Vasilchenko2, S.Yu. Beletskaya3

1-3 FSBEI of HE “Voronezh State Technical University” (Voronezh, Russia)

Analysis of the text theme recognition problem using machine learning

E.V. Gordeeva1, R.A. Kochkarov2, A.A. Rylov3

1–3 Financial University under the Government of the Russian Federation (Moscow, Russia)

Diagnostics of power transformers electrical parts using machine learning methods

A.N. Alyunov1

1 Financial University under the Government of the Russian Federation (Moscow, Russia)

Electrical energy consumption prediction using machine learning methods

A.N. Alyunov1, K.D. Mosolova2

1,2 Financial University under the Government of the Russian Federation (Moscow, Russia)

Computer vision system for automatic classification of nanocomposites

S.A. Korchagin1

1 Financial University under the Government of the Russian Federation (Moscow, Russia)

1 sakorchagin@fa.ru

Development of a parsing system for the analysis of government contracts

V.V. Melentiev1, D.V. Serdechnyi2, P.V. Nikitin3, S.A. Korchagin4

1 Engels Institute of Technology (branch) of Yuri Gagarin State Technical University of Saratov (Engels, Russia),

2−4 Financial University under the Government of the Russian Federation (Moscow, Russia)

1 melen2004@inbox.ru, 2dvserdechny@fa.ru, 3pvnikitin@fa.ru, 4sakorchagin@fa.ru

About the features of managing the security of automated systems that include neural network technologies

V.I. Budzko1, V.G. Belenkov2, V.I. Korolev3, D.A. Melikov4

1–4 FRC CSC RAS (Moscow, Russia)
1 National Research Nuclear University MEPhI (Moscow, Russia)
4 Financial University under the Government of the Russian Federation (Moscow, Russia)
1 vbudzko@ipiran.ru, 2 vbelenkov@ipiran.ru, 3 vkorolev@ ipiran.ru, 4 mda-17@yandex.ru

Development of a method for processing, grouping and annotating materials from reference and information sites in order to identify fake reviews using the naive Bayes classifier algorithm

M.A. Panov1, I.I. Ivanovichev2

1,2 Ural State University of Economics (Yekaterinburg, Russia)

1 panov79@ya.ru, 2 Ivan0vi4ev.ivan@gmail.com

Using deep machine learning techniques to detect and track athletes in the video data stream

V.V. Khryashchev1, A.L. Priorov2, D.V. Matveev3, Yu.A. Lukashevich4

1–4 Yaroslavl State University named after P.G. Demidov (Yaroslavl, Russia)

1 v.khryashchev@uniyar.ac.ru, 2 andcat@yandex.ru, 3 diman@uniyar.ac.ru, 4 lukashevich.yuriy@gmail.com

Physiological instability of vegetative functions of the students body

R.G. Suleymanova1, U.A. Magomedova2, M.O. Muslimov3, J.K. Nurmagomedova4

1–4 Dagestan State Medical University (Makhachkala, Dagestan, Russia)

1 r.g@mail.ru, 2 m.umijat@yandex.ru, 3 dgma_55@mail.ru, 4 nurmagomedova.dzhamilya@mail.ru

Improvement of intelligent data processing methods for monitoring elements of transport infrastructure

M.A. Ludagovskaya1, N.A. Antonov2, M.A. Kabanov3, S.V. Chernomordov4

1 Russian University of Transport (MIIT) (Moscow, Russia)

2-4 Bunin Yelets State University (Yelets, Russia)

1 m.ludagovskaya@gmail.com; 2 nikolayantonov888@yandex.ru; 3 nicsor2010@yandex.ru; 4 chernomor96@list.ru

Improvement of intelligent data processing methods for monitoring elements of transport infrastructure

M.A. Ludagovskaya1, N.A. Antonov2, M.A. Kabanov3, S.V. Chernomordov4

1 Russian University of Transport (MIIT) (Moscow, Russia)

2-4 Bunin Yelets State University (Yelets, Russia)

1 m.ludagovskaya@gmail.com; 2 nikolayantonov888@yandex.ru; 3 nicsor2010@yandex.ru; 4 chernomor96@list.ru

Instrumental support of interactive testing and predictive modeling of students' knowledge level using neural networks

A.Yu. Cherepkov1, D.D. Matorin2, D.S. Zaitsev3

1-3 I.A. Bunin Yelets State University (Yelets, Russia)

1 cherepkov.andrey@mail.ru; 2 dmitr.matorin@yandex.ru; 3 dimanz1997@bk.ru

About the features of managing the security of automated systems that include neural network technologies

V.I. Budzko1, D.A. Melikov2, V.G. Belenkov3

1–3 FRC CSC RAS (Moscow, Russia)
1 National Research Nuclear University MEPhI (Moscow, Russia)
2 Financial University under the Government of the Russian Federation (Moscow, Russia)
1 vbudzko@ipiran.ru, 2 mda-17@yandex.ru; 3 vbelenkov@ipiran.ru

Modern mathematical methods for building trusted medical decision support systems

I.A. Kuznetsov1

1 Design Information Technologies Center Russian Academy of Sciences (Odintsovo, Moscow oblast, Russia)
1 info@ditc.ras.ru

Application of machine learning methods for automatic test pattern generation process optimization during circuit design

V.I. Kuraedov1

1 National Research University "Moscow Institute of Electronic Technology" (Moscow, Russia)

1 vladimir96k@mail.ru

Methods for predicting failures of functional elements of rocket and space technology products using visual decomposition and machine learning

A.Yu. Viryasova1, A.I. Vlasov2, D.I. Klimov3, T.T. Mamedov4, A.P. Myagkov5

1,3–5 JSC "Russian Space Systems" (Moscow, Russia)

2 Bauman Moscow State Technical University (Moscow, Russia)

1 virnastya@yandex.ru, 2 vlasovai@bmstu.ru, 3 klimov.di@spacecorp.ru,

4 mamedov.tt@spacecorp.ru, 5 contact@spacecorp.ru

Methodological approaches to assessing the impact of electromagnetic fields of the radio frequency range on children and adolescents

N.I. Khorseva1, P.E. Grigoriev2

1 FGBUN) Institute of Biochemical Physics. N.M. Emanuel RAS (Moscow, Russia)
2 Sevastopol State University (Sevastopol, Russia)
1 sheridan1957@mail.ru; 2 grigorievpe@cfuv.ru

Overcoming linguistic barriers in code assistants: creating a Qlora adapter to improve support for russian-language code writing instructions

C.B. Pronin1, A.V. Volosova2, A.V. Ostroukh3, Yu.N. Strogov4

1, 3, 4 Moscow Automobile and Road Engineering State Technical University (MADI) (Moscow, Russia)
2 Bauman Moscow State Technical University (National Research University) (Moscow, Russia)
1 caesarpr12@gmail.com, 2 volosova@bmstu.ru, 3 ostroukh@mail.ru, 4 zelkame@gmail.com

Modern methods of computer vision and their practical application in the problem of defectoscopy of integrated circuits

A.Yu. Shafigullina1, D.I. Klimov2, T.T. Mamedov3, I.R. Gubaidullin4

1–4 Joint Stock Company "Russian Space Systems" (Moscow, Russia)

2 National Research University "Moscow Power Engineering Institute" (Moscow, Russia)

1 postgraduate contact@spacecorp.ru, 2 klimov.di@spacecorp.ru,
3 mamedov.tt@spacecorp.ru, 4 gubaidullin.ir@spacecorp.ru

Application of machine learning methods for analysis of the mental state of a person

L.A. Kovalkova1, A.A. Kochkarov2, E.Yu. Shchetinin3

1–3 Financial University under the Government of the Russian Federation (Moscow, Russia)

1 mila.kovalkova.ai@gmail.com, 2 akochkarov@fa.ru, 3 eyshchetinin@fa.ru

Methodology for determining critical elements of an information and measurement system based on forecasting the values of their technical characteristics

V.V. Lisitsky1, D.M. Vyaldin2

1,2 Military Space Academy named after A.F. Mozhaisky (Saint-Petersburg, Russia)

1 vka@mil.ru, 2 dmitriy_vyaldin@mail.ru

Instrumental and methodological support for the assessment and forecasting of knowledge in the pedagogical process

 A.Yu. Cherepkov1, O.V. Druzhinina2

1,2 Bunin Yelets State University (Yelets, Russia)

2 FRС «Computer Science and Control» of Russian Academy of Sciences (Moscow, Russia)

1cherepkov.andrey@mail.ru; 2ovdruzh@mail.ru 

Advantages and machine learning role in assessing the enterprises competitiveness in the digital economy

O.A. Saltykova1, V.D. Saushkin2

1,2 RUDN University named after. Patrice Lumumba (Moscow, Russia)

1 olga_a_saltykova@mail.ru; 2 kingrailag@gmail.com

Cybersecurity of systems implementing data intensive domains. Part 1. The place of cybersecurity in the protection of information

V.I. Budzko1, V.I. Korolev2, V.G. Belenkov3, P.A. Keyer4

1–4 FRC CSC RAS (Moscow, Russia)
1 National Research Nuclear University MEPhI (Moscow, Russia)
1 vbudzko@ipiran.ru, 2 vkorolev@ ipiran.ru, 3 vbelenkov@ipiran.ru, 4 pkeyer@ipiran.ru

Convolutional neural network and deep machine learning for ECG analysis

O.V. Nepomnyashchiy1, Mohammed Muanis I. Al-Sagheer2, V.N. Khaidukova3, A.V. Sharova4, S.A. Kotov5

1,2,4,5 Siberian Federal University (Krasnoyarsk, Russia)

3 JSC Academician M.F. Reshetnev «Information Satellite Systems» (Zheleznogorsk, Russia)

1 2955005@gmail.com, 2 mahamedali51@yahoo.com, 3 valeriya_iks@mail.ru, 4 withlady@yandex.ru,

5 thiskotov@yandex.ru

Machine learning of a convolutional neural network based on a regularizing Bayesian approach

S.V. Prokopchina1, P.E. Ryabov2, E.Yu. Shchetinin3

1–3 Financial University under the Government of the Russian Federation (Moscow, Russia)

1 svprokopchina@fa.ru, 2 peryabov@fa.ru, 3 eyshchetinin@fa.ru

The use of neural network technologies in the design of printed circuit boards

A.V. Arkhipov1, K.A. Muravyov2, A.A. Solodnjakov3, I.S. Potanin4

1–4 Bauman Moscow State Technical University (Moscow, Russia)

2 muravyov@bmstu.ru

Solving the traveling salesman problem using reinforcement learning

N.V. Blokhin1, K.A. Zinovyeva2, R.A. Kochkarov3

1–3 Financial University under the Government of the Russian Federation (Moscow, Russia)
1 nvblokhin@fa.ru, 2 215888@edu.fa.ru ru, 3 rkochkarov@fa.ru

Unmanned aerial vehicle location systems. Antenna Arrays

Yu.V. Koltzov1

1 Nizhegorodskiy Research Institute (Nizhny Novgorod, Russia)
1 koltzovyv@mail.ru

Method for determining the types of encryption of linear block codes

M.V. Khoroshailova1, А.V. Kuznetsov2, A.S. Demikhova3

1,3 FSBEI of HE “Voronezh State Technical University” (Voronezh, Russia)

2 Voronezh Central Design Bureau Polyus JSC (Voronezh, Russia)

1 pmv2205@mail.ru, 2, 3 kipr@vorstu.ru

Optimization of neural network architecture using genetic algorithms: a case study in diabetes prediction

Hou Menhai1

1 Peoples' Friendship University of Russia (Moscow, Russia)

1 houmenhai@gmail.com

Application of convolutional neural network and evolutionary algorithm to predict the outcome of adverse drug interactions

O.V. Nepomnyashchiy1, A.G. Khantimirov2, M.M.I. Al-Saghir3, S.A. Kotov4

1–4 Siberian Federal University (Krasnoyarsk, Russia)

1 ONepomnuashy@sfu-kras.ru, 2 anton-xant@mail.ru, 3 mahamedali51@yahoo.com

Extrapolation of trajectories in radar images using recurrent neural networks

V.V. Dudihin1, E.A. Kuzina2, I.Y. Mezhuev3, S.A. Rylov4, I.Y. Yakupov5

1 Moscow State University (Moscow, Russia)
2,4,5 JSC Distant Radiocommunication Scientific Research Institute (Moscow, Russia)
3 Plekhanov Russian University of Economics (Moscow, Russia)
1 dudikhin@spa.msu.ru, 2 ekkuzina@npodr.ru, 3 Mezhuev.IY@rea.ru, 4 srylov@npodr.ru, 5 iyakupov@npodr.ru

Improving the accuracy of blood pressure estimation using a photoplethysmogram due to additional training of an artificial neural network

A.N. Kalinichenko1, L.A. Manilo2, A.P. Nemirko3, E.V. Sadykova4, I.V. Degterev5

1–5 St Petersburg Electrotechnical University (LETI) (Saint-Petersburg, Russian)
2 lmanilo@yandex.ru

Artificial intelligence methods in information‑measuring and control systems

V.A. Nenashev1, R.M. Voronov2, A.V. Berezin3, A.D. Matveev4, V.K. Losev5

1–5 St. Petersburg State University of Aerospace Instrumentation (St. Petersburg, Russia)

1 nenashev.va@yandex.ru

On the ethics of artificial intelligence

V.A. Shakhnov1, A.V. Proletarsky2, L.A. Zinchenko3, V.V. Kazakov4, V.V. Terekhov5

1–5 Bauman Moscow State Technical University (Moscow, Russia)

1 shakhnov@mail.ru, 2 pav_mipk@mail.ru, 3 lzinchenko@bmstu.ru,

4 samharm777@gmail.com, 5 vterekhov.bmstu@gmail.com

Using the capabilities of EfficientNetB0 machine learning model to analyze X-ray images in the diagnosis of tuberculosis

A.K. Alzubaidi1, A.A. Petrov2

1,2 Bunin Yelets State University (Yelets, Russia)

1 azhrstar90@gmail.com, 2 xeal91@yandex.ru

Using machine learning methods to detect depression among users of the social network Reddit

V.G. Lyalikova1, М.М. Bezryadin2, D.Yu. Golovanov3

1–3 Voronezh state university (Voronezh, Russia)

1 vikalg@yandex.ru, 2 maickel@yandex.ru, 3 dmitry.golovanov.1988@gmail.com

Neural network algorithms for modeling switchable technical systems

O.V. Druzhinina1

1 FRС «Computer Science and Control» of RAS (Moscow, Russia)

1 ovdruzh@mail.ru

Unknown objects grasp planning for multi-finger gripper based on attention mechanism

A.D. Voronkov1, S.A.K. Diane2

1,2 MIREA – Russian Technological University (Moscow, Russia)

1 a.voronkov.rtu@yandex.ru, 2 sekoudiane1990@gmail.com

The study of the dynamics of socially significant diseases and their connection with the socio-economic development of the regions of the Russian Federation

L.R. Borisova1, I.S. Sedykh2, M.B. Khripunova3

1 Financial University under the Government of the Russian Federation (Moscow, Russia)
1 lrborisova@fa.ru, 2 isedih@fa.ru, 3 mbkhripunova@fa.ru

Implementing Arcface model training using parallel methods

D.Yu. Romanyuta1, A. V. Kovalenko2, A. V. Ovsyannikova3

1,2 Kuban State University (Krasnodar, Russia)
3 Financial University under the Government of the Russian Federation (Moscow, Russia)
1 dm.romanyuta@yandex.ru, 2 savanna-05@mail.ru, 3anna_ovsyannikov@bk.ru

Development of an intelligent system for analyzing microscopy of nanocomposites using federated machine learning methods

S.A. Korchagin1

1 Financial University under the Government of the Russian Federation (Moscow, Russia)
1 sakorchagin@fa.ru

The impact of text preprocessing methods on the efficiency of machine learning models for employee loyalty analysis

G.N. Zholobova1, E.D. Sinitsyna2

1,2 Financial University under the Government of the Russian Federation (Moscow, Russia)
1 gnzholobova@fa.ru, 2 221766@edu.fa.ru

Model of the influence of adverse weather conditions on the congestion of the transport network

R.S. Ekhlakov1, V.A. Sudakov2

1 Financial University under the Government of the Russian Federation (Moscow, Russia)
2 Institute of Applied Mathematics n. a. M.V. Keldysh RAS (Moscow, Russia)
1 rsekhlakov@fa.ru, 2 vasudakov@fa.ru

Research and analysis of existing point cloud postprocessing methods

Yu.A. Maniakov1, P. O. Arkhipov2, P. L. Stavtsev3

1–3 Orel Branch of Federal Research Center «Computer Science and Control» of the RAS (Orel, Russia)
1 maniakov_yuri@mail.ru; 2 arpaul@mail.ru; 3 pavelstavcev@gmail.com

Algorithmic strategies for processing EMG signals to provide bionic control of upper limb prostheses

M.A. Petrov1, P.E. Chibizov2, E.V. Melikhova3, A.M. Akkanen4, M.P. Nechaev5, A.N. Briko6

1, 2, 4–6 Bauman Moscow State Technical University (Moscow, Russia)
3 Sirius University of Science and Technology (Federal territory «Sirius», Russia)
1 petrovma@student.bmstu.ru

Analysis of natural language processing methods for use in decision support systems in medicine

K.S. Myshenkov1, Nekoula Haddad2

1,2 Bauman Moscow State Technical University (Moscow, Russia)
1 myshenkovks@bmstu.ru, 2 nekoulahaddad@gmail.com

Errors in the operation of neural network systems and malicious machine learning in technical vision tasks

A.V. Ermolenko1, V.M. Polushkin2, M.V. Smirnov3

1,2 FSBI "46 Central Research Institute" of the Russian Ministry of Defense (Moscow, Russia)

3 Financial University under the Government of the Russian Federation (Moscow, Russia)

3 academy@fa.ru

Cervical spine fracture detection using artificial intelligence methods

D.I. Veselov1, N.A. Andriyanov2

1,2 Financial University under the Government of the Russian Federation (Moscow, Russia)

1 diveselov@fa.ru, 2 naandriyanov@fa.ru

Machine learning in trading: a trading robot based on a deep learning model

M.V. Dobrina1, V.К. Kaverina2

1,2 Financial University under the Government of the Russian Federation (Moscow, Russia)

1 MVDobrina@fa.ru, 2 vkkaverina@fa.ru

Current state of research on the collapse problem of deep learning models

I.V. Statsеnko1, N.A. Andriyanov2, O.S. Shishkin3

1–3 Financial University under the Government of the Russian Federation (Moscow, Russia)

1,3 foreth35@gmail.com, 2 naandriyanov@fa.ru

Machine learning in estimating the thermal conductivity of rocks: advantages and disadvantages

E.N. Ramazanova1

1 Financial University under the Government of the Russian Federation (Moscow, Russia)

1 enramazanova@fa.ru

Using machine learning to analyze employee loyalty based on textual reviews

G.N. Zholobova1, E.D. Sinitsyna2

1,2 Financial University under the Government of the Russian Federation (Moscow, Russia)

1 gnzholobova@fa.ru, 2 katya_sinitsyna@mail.ru

Generation of deep graphs with elements of fractal structure and their application on the example of modeling news networks

V.S. Gavrilov1, R.A. Kochkarov2, A.A. Kochkarov3, D.V. Serdechny4, S.A. Korchagin5

1–5 Financial University under the Government of the Russian Federation (Moscow, Russia)

1 232114@edu.fa.ru, 2 rkochkarov@fa.ru, 3 akochkarov@fa.ru, 4 dvserdechny@fa.ru, 5 sakorchagin@fa.ru

Real-time model for assessing and forecasting transport network congestion

R.S. Ekhlakov1

1 Financial University under the Government of the Russian Federation (Moscow, Russia)

1 rsekhlakov@fa.ru