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Articles by keyword deep learning
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
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

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)

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

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

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)

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)

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

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

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)

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)

An age-invariant face recognition model

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

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)

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 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

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

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

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

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

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

mPyPl: functional monadic approach to data processing in deep learning

D.V. Soshnikov1

1National Research University Higher School of Economics (Moscow, Russia)

1Moscow Aviation Institute – National Research University (Moscow, Russia)

1dmitri@soshnikov.com

Analysis of systems of information extraction from unstructured text documents

G.S. Ivanova1, P.A. Martynyuk2
1, 2 Bauman Moscow State Technical University (Moscow, Russia)

1 gsivanova@bmstu.ru, 2 martynyuk.pa@bmstu.ru