Издательство РАДИОТЕХНИКА

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

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

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

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

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