Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Kuralay Mukhsina"'
Autor:
Vitaliy Polishchuk, Sergii Pavlov, Sergii Polishchuk, Sergii Shuvalov, Andriy Dalishchuk, Natalia Sachaniuk-Kavets’ka, Kuralay Mukhsina, Abilkaiyr Nazerke
Publikováno v:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, Vol 14, Iss 1 (2024)
The paper presents an information technology for assessing the degree of engraftment of dental implants in the event of a pathology violation through the use of fuzzy sets, which allows using this method for medical diagnostic tasks. Main scientific
Externí odkaz:
https://doaj.org/article/2f415056e7a94fa9be504c7011269299
Autor:
Mariana M. Kovtoniuk, Olena P. Kosovets, Olena M. Soia, Olga Yu. Pinaieva, Vira G. Ovcharuk, Kuralay Mukhsina
Publikováno v:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, Vol 12, Iss 4 (2022)
The article presents the results of research on the implementation of the principles of inclusive education in Ukraine, substantiates its relevance in the development of a democratic society and European integration policy. The principles of the stat
Externí odkaz:
https://doaj.org/article/97dd671261304ce28fca9ed4487ad645
Publikováno v:
Cogent Engineering, Vol 7, Iss 1 (2020)
Open Information Extraction (OIE) is a modern strategy to extract the triplet of facts from Web-document collections. However, most part of the current OIE approaches is based on NLP techniques such as POS tagging and dependency parsing, which tools
Externí odkaz:
https://doaj.org/article/477f5ac37b7047ec861acbdef672ca9c
Autor:
Svitlana Petrasova, Nina Khairova, Włodzimierz Lewoniewski, Orken Mamyrbayev, Kuralay Mukhsina
Publikováno v:
Data, Vol 3, Iss 4, p 66 (2018)
Similar text fragments extraction from weakly formalized data is the task of natural language processing and intelligent data analysis and is used for solving the problem of automatic identification of connected knowledge fields. In order to search s
Externí odkaz:
https://doaj.org/article/7ca86828524048eab5bcbb593f20bc47
Publikováno v:
Intelligent Information and Database Systems ISBN: 9783030419639
ACIIDS (1)
ACIIDS (1)
Nowadays, structured information that obtains from unstructured texts and Web context can be applied as an additional source of knowledge to create ontologies. In order to extract information from a text and represent it in the RDF-triplets format, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4477cfe50e3d0cce630e03c12dc40750
https://doi.org/10.1007/978-3-030-41964-6_8
https://doi.org/10.1007/978-3-030-41964-6_8
Publikováno v:
Cogent Engineering, Vol 7, Iss 1 (2020)
Open Information Extraction (OIE) is a modern strategy to extract the triplet of facts from Web-document collections. However, most part of the current OIE approaches is based on NLP techniques such as POS tagging and dependency parsing, which tools
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93466dbdfc38ceb0db86de3fc8ec3c30
https://doaj.org/article/477f5ac37b7047ec861acbdef672ca9c
https://doaj.org/article/477f5ac37b7047ec861acbdef672ca9c
Publikováno v:
RELATIONS@IWCS
Semantic similarity between collocations, along with words similarity, is one of the main issues of NLP, which must be addressed, in particular, in order to facilitate the automatic thesaurus generation. In the paper, we consider the logical-linguist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a24c89b5dea1b0cce1b151325446274f
https://doi.org/10.18653/v1/w19-0802
https://doi.org/10.18653/v1/w19-0802
Autor:
Nurbapa Mekebayev, Aigerim Duisenbayeva, Bagher BabaAli, Bekturgan Akhmetov, Mussa Turdalyuly, Gulnaz Nabieva, Оrken Mamyrbayev, Kuralay Mukhsina, Alimukhan Keylan
Publikováno v:
ITM Web of Conferences, Vol 24, p 01012 (2019)
This article describes the methods of creating a system of recognizing the continuous speech of Kazakh language. Studies on recognition of Kazakh speech in comparison with other languages began relatively recently, that is after obtaining independenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a5260df31775f40b77c65d065afe15d
https://www.itm-conferences.org/articles/itmconf/pdf/2019/01/itmconf_amcse18_01012.pdf
https://www.itm-conferences.org/articles/itmconf/pdf/2019/01/itmconf_amcse18_01012.pdf
Publikováno v:
ICEIS (1)
Scopus-Elsevier
Scopus-Elsevier
Currently, businesses increasingly use various external big data sources for extracting and integrating information into their own enterprise information systems to make correct economic decisions, to understand customer needs, and to predict risks.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7116958730a1499796fd85c8a9ee207
https://doi.org/10.5220/0007755004620469
https://doi.org/10.5220/0007755004620469
Autor:
Włodzimierz Lewoniewski, Orken Mamyrbayev, Nina Khairova, Svitlana Petrasova, Kuralay Mukhsina
Publikováno v:
Data
Volume 3
Issue 4
Data, Vol 3, Iss 4, p 66 (2018)
Volume 3
Issue 4
Data, Vol 3, Iss 4, p 66 (2018)
Similar text fragments extraction from weakly formalized data is the task of natural language processing and intelligent data analysis and is used for solving the problem of automatic identification of connected knowledge fields. In order to search s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5eef0d1ab21faadb95f8d0f92444a131
https://doi.org/10.3390/data3040066
https://doi.org/10.3390/data3040066