Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Rustam, Mussabayev"'
Autor:
Anastassiya Perfilyeva, Kira Bespalova, Yelena Kuzovleva, Rustam Mussabayev, Мamura Begmanova, Almira Amirgalyeva, Olga Vishnyakova, Inna Nazarenko, Assel Zhaxsylykova, Arailym Yerzhan, Yuliya Perfilyeva, Tatyana Dzhaembaeva, Anna Khamchukova, Konstantin Plakhov, Aibyn Torekhanov, Leyla Djansugurova, Gulnur Zhunussova, Bakhytzhan Bekmanov
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The Kazakh Tobet is an indigenous Kazakh dog breed that has been used to guard livestock since ancient times. To understand the genetic structure and phylogenetic relationship of the Kazakh Tobet breed with other herding and livestock guardi
Externí odkaz:
https://doaj.org/article/237a7c9455e14dc8bc9a846b48b99a88
Autor:
Ravil I. Mukhamediev, Marina Yelis, Kirill Yakunin, Yelena Popova, Yan Kuchin, Adilkhan Symagulov, Nadiya Yunicheva, Elena Zaitseva, Vitaly Levashenko, Elena Muhamedijeva, Viktors Gopejenko, Rustam Mussabayev
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
AbstractAs a large social structure, the health care system is often reflected in media publications. This creates a significant impact on society’s attitude towards the system and the state in general. In order to predict and correct state policie
Externí odkaz:
https://doaj.org/article/b9dba1c75dd54ebea62b4df499e07f4b
Publikováno v:
Applied Sciences, Vol 14, Iss 21, p 9992 (2024)
In this paper, a contrastive learning approach for morphological disambiguation (MD) using large language models (LLMs) is presented. A contrastive loss function is introduced for training the approach, which reduces the distance between the correct
Externí odkaz:
https://doaj.org/article/9eca5bed4ffc4c07b279734148c65ae0
Autor:
Ravil Mussabayev, Rustam Mussabayev
Publikováno v:
Mathematics, Vol 12, Iss 13, p 1930 (2024)
This paper introduces a novel formulation of the clustering problem, namely, the minimum sum-of-squares clustering of infinitely tall data (MSSC-ITD), and presents HPClust, an innovative set of hybrid parallel approaches for its effective solution. B
Externí odkaz:
https://doaj.org/article/1a22948046804ccb9046df033b364ba1
Publikováno v:
PeerJ Computer Science, Vol 8, p e1103 (2022)
The extractive text summarization (ETS) method for finding the salient information from a text automatically uses the exact sentences from the source text. In this article, we answer the question of what quality of a summary we can achieve with ETS m
Externí odkaz:
https://doaj.org/article/00ff5a46aa4e46829e3c3466f75d7860
Publikováno v:
IEEE Access, Vol 9, Pp 168141-168153 (2021)
This work presents a method for summarizing scientific articles from the arXive and PubMed datasets using a greedy Extractive Summarization algorithm. We used the approach along with Variable Neighborhood Search (VNS) to learn what is the top-line ex
Externí odkaz:
https://doaj.org/article/b8b3ec1c33804e499ed44439192b5ff2
Autor:
Kirill, Yakunin, Mihail, Ionescu George, Sanzhar, Murzakhmetov, Rustam, Mussabayev, Olga, Filatova, Ravil, Mukhamediev
Publikováno v:
In Procedia Computer Science 2020 178:205-212
Publikováno v:
Computation, Vol 10, Iss 11, p 200 (2022)
The documents similarity metric is a substantial tool applied in areas such as determining topic in relation to documents, plagiarism detection, or problems necessary to capture the semantic, syntactic, or structural similarity of texts. Evaluated re
Externí odkaz:
https://doaj.org/article/77694324a7834c718581a2debf3340a2
Publikováno v:
Symmetry, Vol 14, Iss 11, p 2261 (2022)
This article presents an approach for spellchecking and autocorrection using web data for morphologically complex languages (in the case of Kazakh language), which can be considered an end-to-end approach that does not require any manually annotated
Externí odkaz:
https://doaj.org/article/71160f4be8744763bc0a14b248be3504
Publikováno v:
Symmetry, Vol 13, Iss 5, p 837 (2021)
This article presents a new conceptual approach for the interpretative topic modeling problem. It uses sentences as basic units of analysis, instead of words or n-grams, which are commonly used in the standard approaches.The proposed approach’s spe
Externí odkaz:
https://doaj.org/article/a4193c89c3d74eb1860f1ffe508f0cb9