Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Aleksandr Gozhyj"'
Publikováno v:
2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bebb4c7c93f4450e8a608a52b76d45c8
https://doi.org/10.1109/csit56902.2022.10000824
https://doi.org/10.1109/csit56902.2022.10000824
Publikováno v:
2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4f03d08e84a07b04bdb579e981f1a88
https://doi.org/10.1109/csit56902.2022.10000484
https://doi.org/10.1109/csit56902.2022.10000484
Publikováno v:
Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making ISBN: 9783031162022
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a817c8897aac36766a8d6e89d46027a9
https://doi.org/10.1007/978-3-031-16203-9_13
https://doi.org/10.1007/978-3-031-16203-9_13
Autor:
Irina Kalinina, Aleksandr Gozhyj
Publikováno v:
Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making ISBN: 9783031162022
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::587336a679d78302590cb63d7ca865db
https://doi.org/10.1007/978-3-031-16203-9_7
https://doi.org/10.1007/978-3-031-16203-9_7
Publikováno v:
2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::419d8e0a068b241c26ccc127280c0f40
https://doi.org/10.1109/idaacs53288.2021.9660860
https://doi.org/10.1109/idaacs53288.2021.9660860
Publikováno v:
2021 IEEE 16th International Conference on Computer Sciences and Information Technologies (CSIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1af7bdd9d3e635a95bf14ab8412255b8
https://doi.org/10.1109/csit52700.2021.9648631
https://doi.org/10.1109/csit52700.2021.9648631
Publikováno v:
2021 IEEE 16th International Conference on Computer Sciences and Information Technologies (CSIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5df70786d430fd860c378fd9430aea1d
https://doi.org/10.1109/csit52700.2021.9648590
https://doi.org/10.1109/csit52700.2021.9648590
Publikováno v:
Lecture Notes in Computational Intelligence and Decision Making ISBN: 9783030820138
The problem of modeling and forecasting possible financial loss in the form of market risk using stochastic measurements is considered. The sequence of operations directed towards risk estimation includes data preparing to model building with selecte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71fe594df7b2bff492e82017e0bd1ec7
https://doi.org/10.1007/978-3-030-82014-5_1
https://doi.org/10.1007/978-3-030-82014-5_1
Publikováno v:
Lecture Notes in Computational Intelligence and Decision Making ISBN: 9783030820138
The article considers the methods of detecting and filling gaps in data sets at the stage of preliminary data processing in machine learning procedures. A multi-stage approach to identifying and filling gaps in data sets and combined statistical qual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6f0bf387d404c889f4cff7d1b0e870d
https://doi.org/10.1007/978-3-030-82014-5_11
https://doi.org/10.1007/978-3-030-82014-5_11
Autor:
Peter Bidyuk, Vladyslav Nechakhin, Irina Kalinina, Aleksandr Gozhyj, Oleg Shchesiuk, Yoshio Matsuki
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030632694
The article describes a hybrid power plant control system based on machine learning technologies. The hybrid power plant is based on solar panels and a wind generator. This article suggests using a neural network to track the maximum power point for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::283562d4579ecbdc397cdd1610806692
https://doi.org/10.1007/978-3-030-63270-0_17
https://doi.org/10.1007/978-3-030-63270-0_17