Журнал «Радиотехника» | Издательство РАДИОТЕХНИКА

I.A. Kalinowski - Post-graduate Student, Tomsk Polytechnic University. E-mail: kua_21@mail.ru
V.G. Spitsyn - Dr. Sc. (Eng.), Professor, Tomsk Polytechnic University

Recognition of images with convolution and fuzzy neural networks

N.M. Novikova - Dr. Sc. (Eng.), Professor, Voronezh State University. E-mail: novnelly839@gmail.com V.M. Dudenkov - Post-graduate Student, Voronezh State University. E-mail: vldud@mail.ru

Convolutional neural networks application for dust particles detection and recognition on microscopy images

A.N. Kokoulin - Ph.D. (Eng.), Associate Professor, Perm National Research Polytechnic University. E-mail:liga_asu@mail.ru

Convolutional neural network architecture using computations in residue number system with specific module set

N.I. Chervyakov - Dr.Sc. (Eng.), Professor, Head of Department of the Applied Mathematics and Mathematical Modeling, Institute of Mathematics and Natural Sciences, North Caucasus Federal University (Stavropol) E-mail: k-fmf-primath@stavsu.ru P.A. Lyakhov - Ph. D. (Phis.-Math.), Assistant Professor, Department of the Applied Mathematics and Mathematical Modeling, Institute of Mathematics and Natural Sciences, North Caucasus Federal University (Stavropol) E-mail: ljahov@mail.ru D.I. Kalita - Post-graduate Student, Institute of Mathematics and Natural Sciences, North Caucasus Federal University (Stavropol) E-mail: diana.kalita@mail.ru M.V. Valueva - Master Student in «Applied Mathematics and Informatics», Institute of Mathematics and Natural Sciences, North Caucasus Federal University (Stavropol) E-mail: mriya.valueva@mail.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

Application of artificial neural networks in vehicle systems, special robotic systems

D.S. Chirov - Dr.Sc. (Eng.), Associate Professor, Deputy Chief of the General Research and Testing Center of Robotics of the Ministry of Defense (Moscow) E-mail: den-chirov@yandex.ru A.N. Stetsuk - Chief of Research Department, General Research and Testing Center of Robotics of the Ministry of Defense (Moscow) E-mail: gniizrt@mail.ru

A convolutional fuzzy neural network for classification tasks

K.P. Korshunova - Post-graduate Student, Department of Computer Facilities, The Branch of National Research University "Moscow Power Engineering Institute" in Smolensk E-mail: ksenya-kor@mail.ru

Hierarchical pyramidal subsampling in deep convolutional networks for visual pattern recognition

A. E. Averyanikhin, A. I. Vlasov, E. V. Evdokimova Department IU4 of Designing and Technology of Electronic Equipment, Bauman Moscow State Technical University (Moscow, Russia)

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

Training of the U-Net architecture based convolutional neural network, using minimum resources

I.S. Demin – Master Student,

Department «Computer software, Information Technologies», Kaluga branch of the Bauman MSTU Е-mail: dantlou@mail.com

Yu.S. Belov – Ph.D.(Phys.-Math.), Associate Professor,

Department «Computer software, Information Technologies», Kaluga branch of the Bauman MSTU Е-mail: ybs82@mail.com

I.V. Chukhraev – Ph.D.(Eng.), Associate Professor, Head of Department «Information Systems and Networks», Kaluga branch of the Bauman MSTU E-mail: chukhraev@bmstu-kaluga.ru

Methods of automated hyperparameters tuning of a convolutional neural network

O.N. Cheremisinova, V.S. Rostovtsev

Vyatka State University (Kirov, Russia)

Rich feature hierarchies for accurate object detection and semantic segmentation

A.Y. Virasova1, D.I. Klimov2, O.E. Khromov3, I.R. Gubaidullin4, V.V. Oreshko5

1−5 JSC "Russian Space Systems" FKA "Roscosmos" (Moscow, 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)

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

Objects segmentation on satellite images using convolution neural networks

V.V. Khryashchev – Ph.D. (Eng.), Associate Professor, P.G. Demidov Yaroslavl State University

E-mail: vhr@yandex.ru

A.L. Priopov – Dr.Sc. (Eng.), Associate Professor, P.G. Demidov Yaroslavl State University

E-mail: andcat@yandex.ru

V.A. Pavlov – Post-graduate Student, P.G. Demidov Yaroslavl State University

E-mail: vladimir@1pavlov.com

L.I. Ivanovsky – Post-graduate Student, P.G. Demidov Yaroslavl State University

E-mail: leon19unknown@gmail.com

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)

Application of convolutional neural networks for detection and recognition of artificial space and ground objects

V.A. Pavlov – Leading Engineer,

Higher School of Applied Physics and Space Technologies of Peter The Great St. Petersburg Polytechnic University E-mail: pavlov_va@spbstu.ru

Analysis of patented inventions and utility models based on convolutional neural networks

A.N. Shtanko1

1 National Research Nuclear University "MEPhI" (NRNU MEPHI) (Moscow, Russia)

The use of artificial neural networks on examples of large IT projects

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

E-mail: nkonnova@bmstu.ru

Features of implementation of convolutional neural networks on programmable logic integrated circuit Artix-7

G.I. Biryukov – Student, Bauman Moscow State Technical University

E-mail: biryukovgi@student.bmstu.ru

V.P. Zhalnin – Ph.D. (Eng.), Bauman Moscow State Technical University

E-mail: zhalninvp@bmstu.ru

D.V. Laptev – Master Student, Bauman Moscow State Technical University

E-mail: dmytry2010@student.bmstu.ru

P.O. Repnikov – Student, Bauman Moscow State Technical University

E-mail: rtfiof@gmail.com

Appearance object model and method of image matching in the convolutional neural networks

V. V. Borisov – Dr.Sc. (Eng.), Professor, Branch of National Research University “MPEI” (Smolensk)

E-mail: vbor67@mail.ru

O. I. Garanin – Post-graduate Student, National Research University “MPEI”

E-mail: hedgehog91@mail.ru

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

Tuning method of multiscale model for detecting visual objects in a convolutional neural network

O.I. Garanin – Post-graduate Student, National Research University “MPE” (Moscow)

E-mail: hedgehog91@mail.ru

Evaluation of technical means of rehabilitation and selection of the architecture of the construction neural network for the establishment of the support system for people in the urban environment for people with disabled vision opportunities

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

E-mail: terekchow@bmstu.ru

V.S. Ilin – Student, Department of Computer Systems and Networks, Bauman Moscow State Technical University

E-mail: ivs@bmstu.ru

I.A. Mogilnikov – Student, Department of Computer Systems and Networks, Bauman Moscow State Technical University

E-mail: mogilnikoff2@gmail.com

M.S. Popova – Student, Department of Computer Systems and Networks, Bauman Moscow State Technical University

E-mail: popovams@bmstu.ru

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

Development of a neural network model for detecting objects in a video stream

E.S. Budaev1, S.S. Mikhailova2, I.S. Evdokimova3, E.A. Khalmakshinov4

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

3,4 East Siberian State University of Technology and Management (Ulan-Ude, Russia)

Monitoring the state of iron products based on computer vision systems

N.A. Andriyanov1, A.A. Volnenko2, V.E. Dementiev3

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

3 Ulyanovsk State Technical University (Ulyanovsk, Russia)

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

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

Objects segmentation on satellite images using convolution neural networks

V.V. Khryashchev – Ph.D. (Eng.), Associate Professor, P.G. Demidov Yaroslavl State University
E-mail: vhr@yandex.ru
A.L. Priopov – Dr.Sc. (Eng.), Associate Professor, P.G. Demidov Yaroslavl State University
E-mail: andcat@yandex.ru
V.A. Pavlov – Post-graduate Student, P.G. Demidov Yaroslavl State University
E-mail: vladimir@1pavlov.com
L.I. Ivanovsky – Post-graduate Student, P.G. Demidov Yaroslavl State University
E-mail: leon19unknown@gmail.com

Automatic and semi-automatic segmentation method of post-myocardial infarction according to magnetic resonance imaging with late gadolinium enhancement

A.G. Levchuk1, V.A. Fokin2, A.V. Ryzhkov3, M.S. Baev4, D. Bendahan5, W. Al-Haidri6, E.A. Brui7

1,6,7 ITMO University (Saint-Petersburg, Russian)
2–4 Almazov National Medical Research Centre (Saint-Petersburg, Russian)
5 Aix-Marseille University, National Center for Scientific Research, Biological and Medical Magnetic Resonance Center (Marseille, France)
1anatolii.levchuk@metalab.ifmo.ru, 2vladfokin@mail.ru, 3abanderos83@mail.ru, 4mikael.baev@mail.ru, 5david.bendahan@univ-amu.fr, 6waleed.al.haidri@metalab.ifmo.ru, 7katya.bruy@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

A New Method for Integrating a Deep Learning Module into Special Object Classification Software

P.O. Arkhipov1, S.L. Philippskih2, M.V. Tsukanov3

1–3 Branch Director, Orel Branch of the Federal Research Center “Computer Science and Control” of the RAS
(Orel, Russia)
1 arpaul@mail.ru, 2 philippsl@mail.ru, 3 tsukanov.m.v@yandex.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

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

Investigation of the effectiveness of classifiers of motor images constructed using diffusion models of artificial neural networks

D.V. Zhuravlev1, A.N. Golubinsky2, A.A. Tolstykh3, A.A. Reznichenko4

1, 4 Voronezh State Technical University (Voronezh, Russia)
2 A.A. Harkevich Institute of Information Transmission Problems of the Russian Academy of Sciences (Moscow, Russia)
3 RTK LLC (Moscow, Russia)
1 ddom1@yandex.ru, 2 annikgol@mail.ru, 3 tolstykh.aa@yandex.ru, 4 andrei.reznichencko2017@yandex.ru

Neural network model for recognizing long and short QT syndrome on ECG

D.N. Klypin1, A.E. Sulavko2, A.E. Sulavko3, Yu.A. Varkentin4, A.M. Vulfin5

1,2,4,5 Omsk State Technical University (Omsk, Russia)
3 BUKOO Medical and Sanitary Unit No. 4 (Omsk, Russia)
1 lan@omgtu.ru, 2 sulavich@mail.ru, 3 borya.zhizha@mail.ru, 4 varkentinyuri@gmail.com, 5 vulfin.alexey@gmail.com

On using optical images in training of neural networks for radar image processing

V.A. Pavlov1, A.A. Belov2

1,2 Peter the Great St. Petersburg Polytechnic University (St. Petersburg, Russia)

1 pavlov_va@spbstu.ru; 2 belov@spbstu.ru

On using optical images in training of neural networks for radar image processing

V.A. Pavlov1, A.A. Belov2

1,2 Peter the Great St. Petersburg Polytechnic University (St. Petersburg, Russia)

1 pavlov_va@spbstu.ru; 2 belov@spbstu.ru

Ergonomic analysis of forest cover disturbance mapping methods using neural networks

B.S. Goryachkin1, N.S. Podoprigorova2, S.S. Podoprigorova3
1–3 Bauman Moscow State Technical University (Moscow, Russia)

1 bsgor@mail.ru, 2 n.podoprigorova@icloud.com, 3 s.podoprigorova@icloud.com

Application of hybrid neural networks to predict changes in the technical condition of a railway track

M.A. Ludagovskaya1, E.D. Larionova2
1, 2 Russian University of Transport (MIIT) (Moscow, Russia)

1 m.ludagovskaya@gmail.com, 2 Eva.sh.2363@gmail.com

Hybrid deep learning model for time series forecasting

A.V. Gulyaev1
1 Russian State Social University (Moscow, Russia)

1 Gulyaev81@gmail.com

Improved OFDM receiver performance based on convolutional neural networks

O.N. Chirkov1, S.Yu. Beletskaya2

1,2 FSBEI of HE “Voronezh State Technical University” (Voronezh, Russia)

1 chir_oleg@mail.ru; 2 omrt0705@mail.ru

Document recognition in various conditions using machine learning methods

E.P. Dogadina1, U.Yu. Sukhanova2, M.A. Ishchenko3, D.I. Veselov4

1–4 Financial University under the Government of the Russian Federation (Moscow, Russia)
1 epdogadina@fa.ru, 2 uysukhanova@fa.ru, 3 maishchenko@fa.ru, 4 diveselov@fa.ru

Detection of Orkhon-Yenisei runic inscriptions

R.A. Kochkarov1, A.D. Borodina2
1,2 Financial University under the Government of the Russian Federation (Moscow, Russia)
1 rkochkarov@fa.ru, 2 aborodinasty@gmail.com

Detection of radar pulses of probing signals and determination of their modulation in cognitive electronic warfare systems

E.V. Kalyabin1, A.V. Prosvirov2, T.A. Mirtalibov3

1,2 JSC “CNIRTI named after academician A.I. Berg” (Moscow, Russia)

3 “Almaz-Antey” Corp. (Moscow, Russia)

1,2 post@cnirti.ru; 3 info@npo-rit.ru

Application of neural networks to predict the growth of primary extra-axial brain tumors

N. Yu. Ilyasova1, A.A. Selezneva2, N.S. Demin3, E.N. Surovcev4, A. V. Kapishnikov5

1–3 Samara National Research University n. a. S.P. Korolyov (Samara, Russia)
1,3 Image Processing Systems Institute, NRC «Kurchatov Institute» (Moscow, Russia)
4,5 FSBEI HE «Samara State Medical University MOH Russia» (Samara, Russia)
1 ilyasova.nata@gmail.com, 2 seleznevalisha@gmail.com, 3 volfgunus@gmail.com, 4 evgeniisurovcev@mail.ru, 5 a.v.kapishnikov@samsmu.ru

Technology for detecting foci of pathological accumulation of a radiopharmaceutical drug based on neural networks

I.I. Gulinskaya1, N.Yu. Ilyasova2, K.E. Delov3, N.S. Demin4, E.N. Alekhin5

1–4 Samara National Research University (Samara, Russia)
2, 4 Image Processing Systems Institute, NRC «Kurchatov Institute» (Moscow, Russia)
5 Tyumen State Medical University (Tyumen, Russia)
1 Gira.2004@mail.ru, 2 ilyasova.nata@gmail.com, 3 delov_konstantin@mail.ru, 4 volfgunus@gmail.com, 5 a-eduard-n@yandex.ru

Object recognition based on a convolutional neural network

P.A. Kurakin1, A.N. Korotkikh2, A.S. Komogortsev3, V.S. Chernov4, A.B. Gerasimov5, V.V. Mikhailov6

1–4,6 JSC «Rybinsk Instrument Engineering Plant» (Rybinsk, Russia)

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

1 yepseeke.kaps@yandex.ru, 2 ntc@rzp.su, 3 pribor@rzp.su, 4 vladchernov77@mail.ru, 5 gerasimov@uniyar.ac.ru, 6 ntc@rzp.su

Neural network model for supporting diagnostic decision-making based on processing electrocardiogram data on the human cardiovascular system

O.H.Ya. Al-Hamami1, V.V. Alekseev2
1, 2 Tambov State Technical University (Tambov, Russia)
1 Northern Technical University (Mosul, Iraq)
2 Peoples' Friendship University of Russia named after Patrice Lumumba (Moscow, Russia)

1 omer_h_yahya@ntu.edu.iq