Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Gleb Guskov"'
Autor:
Anton A. Romanov, Aleksey A. Filippov, Valeria V. Voronina, Gleb Guskov, Nadezhda G. Yarushkina
Publikováno v:
Mathematics, Vol 9, Iss 22, p 2947 (2021)
Data analysis in the context of the features of the problem domain and the dynamics of processes are significant in various industries. Uncertainty modeling based on fuzzy logic allows building approximators for solving a large class of problems. In
Externí odkaz:
https://doaj.org/article/594eb1d6144647ea8657cf637c2c2f68
Publikováno v:
Axioms, Vol 9, Iss 2, p 49 (2020)
The development of the economy and the transition to industry 4.0 creates new challenges for artificial intelligence methods. Such challenges include the processing of large volumes of data, the analysis of various dynamic indicators, the discovery o
Externí odkaz:
https://doaj.org/article/3e0941706fe34ced8b49c8e254019ff2
Publikováno v:
Artificial Intelligence in Models, Methods and Applications ISBN: 9783031229374
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61fff1fb23a5e87f7e8a18f2989680a6
https://doi.org/10.1007/978-3-031-22938-1_43
https://doi.org/10.1007/978-3-031-22938-1_43
Autor:
Elena Antonova, Gleb Guskov, Nadezhda Yarushkina, Aleksandra Chekina, Sofia Egova, Anastasia Khambikova
Publikováno v:
Artificial Intelligence in Models, Methods and Applications ISBN: 9783031229374
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80af7bae3a1a01ea1ef10e20ad479fb3
https://doi.org/10.1007/978-3-031-22938-1_45
https://doi.org/10.1007/978-3-031-22938-1_45
Publikováno v:
Open Semantic Technologies for Intelligent Systems ISBN: 9783031158810
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b022a9cb54d0a3a0ed80fa4d91a800a
https://doi.org/10.1007/978-3-031-15882-7_19
https://doi.org/10.1007/978-3-031-15882-7_19
Publikováno v:
Computational Science and Its Applications – ICCSA 2021 ISBN: 9783030869694
ICCSA (3)
ICCSA (3)
This article describes an approach to knowledge base (KB) formation. KB may be used for automating the software systems (SS) architecting based on the experience of previous projects.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90c5867edb4d457cdf1f56ad03999768
https://doi.org/10.1007/978-3-030-86970-0_20
https://doi.org/10.1007/978-3-030-86970-0_20
Autor:
Gleb Guskov, Olga Guskova
Publikováno v:
Live and Bioabiotic Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a71e8ad647d6ee53d02c3859754ff57
https://doi.org/10.18522/2308-9709-2020-33-5
https://doi.org/10.18522/2308-9709-2020-33-5
Publikováno v:
Recent Developments and the New Direction in Soft-Computing Foundations and Applications ISBN: 9783030471231
Everyday in open repositories like GitHub, GitLab and others lots of software projects are created and updated. A method to determine similar source code or even better reusing project architecture could reduce an amount of wasted resources. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ab0240cf10aa1d3e775beefa5ca80bf
https://doi.org/10.1007/978-3-030-47124-8_12
https://doi.org/10.1007/978-3-030-47124-8_12
Publikováno v:
Recent Developments and the New Direction in Soft-Computing Foundations and Applications ISBN: 9783030471231
The article describes the fuzzy knowledge base developing process. The fuzzy knowledge base content represents a knowledge extracted from set of various documents by subject area. Set of documents contains of the wiki-resources, uml-diagrams, text do
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41fcb8215e8ff147179eb826d6d2aea8
https://doi.org/10.1007/978-3-030-47124-8_13
https://doi.org/10.1007/978-3-030-47124-8_13
Publikováno v:
Axioms, Vol 9, Iss 49, p 49 (2020)
Axioms; Volume 9; Issue 2; Pages: 49
Axioms; Volume 9; Issue 2; Pages: 49
The development of the economy and the transition to industry 4.0 creates new challenges for artificial intelligence methods. Such challenges include the processing of large volumes of data, the analysis of various dynamic indicators, the discovery o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c71b6e2c300d8f12048ca479ba2fbd05
https://www.mdpi.com/2075-1680/9/2/49
https://www.mdpi.com/2075-1680/9/2/49