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TID2008 - A database for evaluation of full-reference visual quality assessment metrics
N. N. Ponomarenko, V. V. Lukin, A. A. Zelensky, K. O. Egiazarian, J. Astola, M. Carli, F. Battisti
The Rating Evaluation System to Monitor Quality for Call Center Operations and the Application "Cell Rating" to Compute Basic Metrics
P. P. Kuznetsov, M. A. Golikov, V. P. Richkov
The Dynamic Shape of the Magnetic Field Module
E.M. Proshin, V.M. Sahibgareev, N.S. Harlamova
The investigation of stability of some classes of distributed systems
O.V. Druzhinina, V.I. Afanasyeva
The development of the neural network module for monitoring of abnormal network activity
A. A. Talalaev, I. P. Tishchenko, V. P. Fralenko, V. M. Khachumov
Rating of Structural Complexity of the Large-Scale Program Complexes
R.V. Buhvalov
Quantum model of the lowest metrics of color
A.I. Mazurov, K.A. Raevskaya
Fractal image coding
E.V. Egorova - Ph. D. (Eng.), MIREA
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

Development of a method for evaluating the accuracy of audio signal recognition using a neural network for large amounts of data

B.S. Goryachkin − Ph.D. (Eng.), Associate Professor, 

Department of Information Processing and Management Systems, Bauman Moscow State Technical University

E-mail: bsgor@mail.ru

B.I. Bagaviev − Under-graduate Student, 

Department of Information Processing and Management Systems, Bauman Moscow State Technical University E-mail: buba1219@yandex.ru

Portable device equipped with the vibrotactile feedback to support the home physical rehabilitation

A.V. Alpatov1, M.S. Ashapkina2

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

1,2 IIP BIOTEPRODACTS LLC (Ryazan, 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)

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)
 

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

Detection of key points of electronic planograms by means of artificial intelligence

V.V. Mikhailishin1, L.M. Smirnova2, V.A. Khazov3

1, 2 Federal Scientific and Educational Centre of Medial and Social Expertise and Rehabilitation n. a. G.A. Albreht (Saint-Petersburg, Russia)
2, 3 St. Petersburg State Electrotechnical University “LETI” (St. Petersburg, Russia)

Practical application of machine learning and artificial intelligence methods in primary analysis of startup success

N.E. Sadkovskaya1, A.N. Manin2, A.P. Gorshkova3, A.V. Prudnikov4
1–4 Moscow Aviation University (National Research University) (Moscow, Russia)

1 natsadkovskaya@rambler.ru, 2 andreym012@gmail.com, 3 alyaayg@yandex.ru, 4 AlexPrudnikov1@yandex.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