Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Peter Bidyuk"'
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
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
This paper is concentrated on the applications of main data mining tools, methods, models and technologies for solving the basic tasks of data processing for telecommunication industry. The main forecasting task in this industry is to predict the cla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ca8fc99e5adee61a284f0930c59eac2
https://doi.org/10.1007/978-3-030-82014-5_8
https://doi.org/10.1007/978-3-030-82014-5_8
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
Publikováno v:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, Vol 4, Iss 4 (2014)
W artykule opisany jest popularny algorytm EM (expectation maximization), który jest powszechnie stosowany w nowoczesnych systemach przetwarzania danych do rozwiązywania różnych problemów, w tym optymalizacji i estymacji parametrów. Celem bada
Externí odkaz:
https://doaj.org/article/0c6404d4dd3c402f9942655134489942
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
Autor:
Romanna Malets, Irina Kalinina, Victoria Vysotska, Peter Bidyuk, Aleksandr Gozhyj, Mikhail Vasilev
Publikováno v:
2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP).
The article discusses the features of the solving the forecasting problems using machine learning techniques. The issues of accounting and correctly processing non-linear non-stationary processes in the problems of modeling and forecasting time serie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43201ccaceab40e81004ba5975709d40
https://doi.org/10.1109/dsmp47368.2020.9204077
https://doi.org/10.1109/dsmp47368.2020.9204077
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030542146
ISDMCI
ISDMCI
The article proposes a methodology for modeling and forecasting economic, financial and environmental processes, based on the principles of system analysis and combined models, including linear and non-linear regression models, as well as probabilist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14e8e3251ca3997d59aa654b26a3f5a2
https://doi.org/10.1007/978-3-030-54215-3_25
https://doi.org/10.1007/978-3-030-54215-3_25
Autor:
Nataliia Kuznietsova, Peter Bidyuk
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030616557
DSMP
DSMP
The paper describes advanced information technology created on the basis of system methodology which uses methods and models of dynamic, probabilistic and statistical, regression assessment of financial risks, combined methods and models for missing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9121edddd828408cd84bca6b636c10d1
https://doi.org/10.1007/978-3-030-61656-4_36
https://doi.org/10.1007/978-3-030-61656-4_36