Zobrazeno 1 - 10
of 48
pro vyhledávání: '"G. M. Chulkova"'
Publikováno v:
Physics in Higher Education. 27:125-137
Autor:
G. M. Chulkova, Vasily V. Kudryavtsev
Publikováno v:
Science management: theory and practice. 2:150-177
The article describes the scientific-school approach as a method of historical and scientificresearch. The value of the scientific-school approach in relation to the study of domesticscience is revealed. Based on the consideration of new «dimensions
Autor:
G. M. Chulkova, E. B. Petrova
Publikováno v:
PROCEEDINGS OF THE II INTERNATIONAL SCIENTIFIC CONFERENCE ON ADVANCES IN SCIENCE, ENGINEERING AND DIGITAL EDUCATION: (ASEDU-II 2021).
Autor:
Alexander Korneev, G. M. Chulkova, A. V. Semenov, Gregory Goltsman, S. Krasnosvobodtsev, Y. Korneeva, K. Mitsen, Mariia Sidorova
Publikováno v:
IEEE Transactions on Applied Superconductivity. 26:1-4
We report an experimental investigation of the hot-spot evolution in superconducting single-photon detectors made of disordered superconducting materials with different diffusivity and energy downconversion time values, i.e., 33-nm-thick NbN and 23-n
Autor:
G M Chulkova, E B Petrova
Publikováno v:
Journal of Physics: Conference Series. 1691:012038
The article is a continuation of the authors’ works on the problem of achievements presentation of modern physics to future teachers and physics students. It deals with the issues related to the necessity explanation of the transition from electron
Autor:
G. M. Chulkova, A. F. Kaperko, A. V. Shustrov, A. N. Yurin, Y. M. Kuznetsov, V P. Kulagin, A. I. Ivanov, N. M. Obolyaeva
Publikováno v:
2018 Moscow Workshop on Electronic and Networking Technologies (MWENT).
We consider the technology of information processing and the use of neural networks to identify complex gas-air mixtures with a multi-sensor system of the “electronic nose” type equipped with semiconductor gas sensitive sensors. We also present t
Publikováno v:
2017 IEEE 11th International Conference on Application of Information and Communication Technologies (AICT).
The issues of information support based on the use of artificial neural networks for the rapid recognition of odors using devices such as “electronic nose” are considered. The variants of reducing the test sample for an artificial neural network
Autor:
V. P. Kulagin, Nataliya M. Obolyaeva, Yury M. Kuznetsov, G. M. Chulkova, Alexander N. Yurin, Alexander I. Ivanov, Alexander V. Shustrov, Alexey F. Kaperko
Publikováno v:
2017 International Conference "Quality Management,Transport and Information Security, Information Technologies" (IT&QM&IS).
The article deals with the features of creation of tools for monitoring and neuronet identification of complex gasair mixtures using devices such as “electronic nose” equipped with semiconductor gas sensitive sensors in the form of a matrix are c
Publikováno v:
2017 XX IEEE International Conference on Soft Computing and Measurements (SCM).
The description of technical, methodical and software solutions aimed at creating a measuring device for neural network recognition of a wide class of chemical substances based on semiconductor multisensor matrices.
Autor:
Yu. P. Korneeva, A. G. Kozorezov, M. Yu. Mikhailov, A. V. Semenov, Gregory Goltsman, Alexander Korneev, Mariia Sidorova, A. Yu. Devizenko, G. M. Chulkova
We developed the model of the internal phonon bottleneck to describe the energy exchange between the acoustically soft ultrathin metal film and acoustically rigid substrate. Discriminating phonons in the film into two groups, escaping and nonescaping
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c648c89c4630ef78e6ae56e27f9b4fe
http://arxiv.org/abs/1607.07321
http://arxiv.org/abs/1607.07321