• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
vision- moonstyle.info user- moonstyle.info search- moonstyle.info
ФКН
Bachelor’s and Master’s programmes
Bachelor’s programme

Information and Communication Technologies and Systems

4 years
Full-time Programme
RUS
Instruction in Russian
Bachelor’s programme

Informatics and Computer Hardware and Software

4 years
Full-time Programme
RUS
Instruction in Russian
Bachelor’s programme

Information Security

4 years
Full-time Programme
RUS
Instruction in Russian
Bachelor’s programme

Computer Security

5.5 years
Full-time Programme
RUS
Instruction in Russian
Bachelor’s programme

Applied Mathematics

4 years
Full-time Programme
RUS
Instruction in Russian
Master’s programme

Electronic Engineering

2 years
Full-time Programme
RUS
Instruction in Russian
Master’s programme

Internet of Things and Cyber-physical Systems

2 years
Full-time Programme
RUS
Instruction in Russian
Master’s programme

Quantum Information Technologies

2 years
Full-time Programme
ENG
Instruction in English
Master’s programme

Computer Systems and Networks

2 years
Full-time Programme
RUS
Instruction in Russian
Master’s programme

Mathematical Methods of Modelling and Computer Technologies

2 years
Full-time Programme
RUS
Instruction in Russian
Master’s programme

Materials. Devices. Nanotechnology

2 years
Full-time Programme
RUS
Instruction in Russian
Master’s programme

Management Systems and Information Processing in Engineering

2 years
Full-time Programme
RUS
Instruction in Russian
Master’s programme

Supercomputer Simulations in Science and Engineering

2 years
Full-time Programme
RUS/ENG
Instruction in Russian and English
Book

Freudenburg G.

Vol. 136: Encyclopaedia of Mathematical Sciences. Bk. VII: Subseries: Invariant Theory and Algebraic Transformation Groups. Springer, 2017.

Article

Karasev M., Novikova E., Vybornyi E.

Russian Journal of Mathematical Physics. 2017. Vol. 24. No. 4. P. 454-464.

Book chapter

Zavyalov V., Chernyaev S., Shein K. et al.

In bk.: 28th International Conference on Low Temperature Physics. M.: Faculty of Physics, MSU, 2017.

Development of a new generation of fast learning neural network recognition tools for the wide class of chemicals (highly intelligent artificial nose) on the basis of solid-state gas-sensitive matrices

Research Laboratory of Space Research is carrying out the project entitled ‘Development of a new generation of fast learning neural network recognition tools for the wide class of chemicals (highly intelligent artificial nose) on the basis of solid-state gas-sensitive matrices’ within the governmental program ‘Research and development in priority areas of Russian scientific and technological sector for 2014-2020’, under ‘Environmental Management ‘ direction.
The object of applied research and experimental development (ARED) performed within the project are the means and methods of selective detection and recognition of a wide class of chemicals on the basis of solid-state gas-sensitive matrices (SSGSM) using a fast learning neural network.
The purpose of ARED is research and development of a complex of scientific, technical and software solutions designed to create a new generation of fast learning means of neural network recognition for a wide class of chemicals (highly intelligent artificial nose) on the basis of GSSSM.
The project is carried out in close cooperation with the Industrial and Technological Center UralAlmazInvest. Industrial partner of the project - NPP Mikropribor
The results obtained will be analyzed for further theoretical research on methods and algorithms for detection and identification of gas mixes, as well as development of the complex software implementation of wide-range neural network tools for chemical recognition.
The actual results of the research project were presented at the exhibition VUZPROMEKSPO-2015 on 2-4 December 2015 in the format of the poster session and are published on the official site of the laboratory.

www.adulttorrent.org/details/hgame_july_23_2016_regenodu_vol_03_arurudao_wu_yu_dian_hua_nobao_dao_

www.plasticsurgery.com.ua

citroen.niko.ua