Журнал «Радиотехника» | Издательство РАДИОТЕХНИКА

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

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

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

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

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

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

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

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)

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

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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)

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)

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)

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

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)

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)

Mathematical approaches to the development of an integral indicator of the degree of cognitive decline

V.N. Gridin1, N.N. Koberskaya2, B.R. Salem3, D.S. Smirnov4, V.I. Solodovnikov5, N.N. Yakhno6

1–6 Design Information Technologies Center Russian Academy of Sciences (Odintsovo, Moscow Region, 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)

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

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)

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

Method of carrying out defects of printed modules using neural networks

M.A. Romashchenko1, D.V. Vasilchenko2, D.A. Pukhov3, S.Yu. Beleckaya4

1-4 Voronezh State Technical University (Voronezh, Russia)

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

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

Atomic machine learning

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

E-mail: sergei@solitonscientific.com

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)

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 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)

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)

Neural network architectures for educational processes modeling

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

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

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)

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)

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)

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

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

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

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

Unmanned aerial vehicle location systems. Antenna Arrays

Yu.V. Koltzov1

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

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