Zobrazeno 1 - 9
of 9
pro vyhledávání: '"A. V. Pomogalova"'
Publikováno v:
2022 Intelligent Technologies and Electronic Devices in Vehicle and Road Transport Complex (TIRVED).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08a9922b15b68ae22137b5c966987e48
https://doi.org/10.1109/tirved56496.2022.9965553
https://doi.org/10.1109/tirved56496.2022.9965553
Publikováno v:
2022 International Conference on Modern Network Technologies (MoNeTec).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a5128bfc8c3c2a7867afc97f34ed4fc
https://doi.org/10.1109/monetec55448.2022.9960753
https://doi.org/10.1109/monetec55448.2022.9960753
Publikováno v:
2022 Systems of Signals Generating and Processing in the Field of on Board Communications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b5102f99689db2f05d907fc643a5c7b
https://doi.org/10.1109/ieeeconf53456.2022.9744263
https://doi.org/10.1109/ieeeconf53456.2022.9744263
Autor:
Aleksei E. Kopylov, Ivan A. Bogoslovskii, Andrey B. Stepanov, Valerii S. Gribanov, Albina V. Pomogalova
Publikováno v:
2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus).
The paper focuses on the development of a portable device for time-frequency analysis of signals in extremely low temperatures of the Arctic and Antarctic. In its realization, the microcontroller 1986BE91T of Russian manufacture Milandr was used. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34c6c661c683a3af410083d860613a21
https://doi.org/10.1109/elconrus51938.2021.9396398
https://doi.org/10.1109/elconrus51938.2021.9396398
Publikováno v:
2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).
Neural network approximators are used in digital signal processing, in particular when automating the process of their analysis. The paper is devoted to the implementation of an approximator based on a multilayer perceptron and a wavelet-neural netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::135cd7355502d88255a547f102e398dc
https://doi.org/10.1109/eiconrus49466.2020.9039482
https://doi.org/10.1109/eiconrus49466.2020.9039482
Autor:
Aleksei E. Kopylov, Andrey B. Stepanov, Albina V. Pomogalova, Valerii S. Gribanov, Mansoor M. Ayedh Humaid
Publikováno v:
2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).
The continuous wavelet transform calculator is the basis of the algorithms for automatic analysis of biomedical signals. The use of such systems is justified in conditions of isolation, also from large medical institutions. The device developed in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6bad6ae6c82d2ae8595ba529ee47abc
https://doi.org/10.1109/eiconrus49466.2020.9039155
https://doi.org/10.1109/eiconrus49466.2020.9039155
Publikováno v:
2019 III International Conference on Control in Technical Systems (CTS).
The paper has a practical focus and is dedicated to the implementation of a multilayer perceptron and wavelet- neural network on an ultra-low power consumption microcontroller MSP430G2553. A description of the implementation technologies of these neu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1b6fbde9fd3c2317f00213c5b5fcfd7
https://doi.org/10.1109/cts48763.2019.8973340
https://doi.org/10.1109/cts48763.2019.8973340
Publikováno v:
Economics and management: realias and prospects; № 2; 11-14
Экономика и управление: современные тенденции; № 2; 11-14
Экономика и управление: современные тенденции; № 2; 11-14
В работе рассмотрена государственная политика противодействия коррупции и этапы формирования антикоррупционного законодательства в
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::74bec9655c49d7c0f0f9ba65f43b2c0a
https://phsreda.com/article/32314/discussion_platform
https://phsreda.com/article/32314/discussion_platform
Autor:
Ivan A. Bogoslovskii, Albina V. Pomogalova, Daniil V. Ermolenko, Klavdiya Kh. Kilicheva, Andrey B. Stepanov
Publikováno v:
2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).
The paper describes the implementation of universal neural network approximator on microcontroller MSP430G2553 with ultralow power consumption. A multilayer perceptron is used as an approximating artificial neural network. Approximation is one of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fabb112e07d6df919c0668a618b0fd4e
https://doi.org/10.1109/eiconrus.2019.8657259
https://doi.org/10.1109/eiconrus.2019.8657259