Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Bibigul Razakhova"'
Autor:
Alibek Barlybayev, Nurzada Amangeldy, Bekbolat Kurmetbek, Iurii Krak, Bibigul Razakhova, Nazira Tursynova, Rakhila Turebayeva
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
AbstractOver the past decade, global industrial and construction growth has underscored the importance of safety. Yet, accidents continue, often with dire outcomes, despite numerous safety-focused initiatives. Addressing this, this article introduces
Externí odkaz:
https://doaj.org/article/1c86e5130a41481ea196ce0f57313841
Publikováno v:
Sensors, Vol 24, Iss 16, p 5239 (2024)
This paper presents the methodology and outcomes of creating the Rail Vista dataset, designed for detecting defects on railway tracks using machine and deep learning techniques. The dataset comprises 200,000 high-resolution images categorized into 19
Externí odkaz:
https://doaj.org/article/aeda1fd6906e4ea3838161d1dab9bf03
Autor:
Nurzada Amangeldy, Aru Ukenova, Gulmira Bekmanova, Bibigul Razakhova, Marek Milosz, Saule Kudubayeva
Publikováno v:
Sensors, Vol 23, Iss 14, p 6383 (2023)
This article is devoted to solving the problem of converting sign language into a consistent text with intonation markup for subsequent voice synthesis of sign phrases by speech with intonation. The paper proposes an improved method of continuous rec
Externí odkaz:
https://doaj.org/article/8a72c46d7f57477392518a9aaf543b65
Autor:
Nurzada Amangeldy, Saule Kudubayeva, Akmaral Kassymova, Ardak Karipzhanova, Bibigul Razakhova, Serikbay Kuralov
Publikováno v:
Sensors, Vol 22, Iss 17, p 6621 (2022)
Technologies for pattern recognition are used in various fields. One of the most relevant and important directions is the use of pattern recognition technology, such as gesture recognition, in socially significant tasks, to develop automatic sign lan
Externí odkaz:
https://doaj.org/article/7c2ef1504ee843919f023ffcf78f1f37
Publikováno v:
Revue d'Intelligence Artificielle. 37:209-214
Autor:
Gaziza Yelibayeva, Bibigul Razakhova, Banu Yergesh, Altynbek Sharipbay, Gulmira Bekmanova, Assel Mukanova
Publikováno v:
2022 International Conference on Engineering & MIS (ICEMIS).
Publikováno v:
2020 5th International Conference on Computer Science and Engineering (UBMK).
This paper introduces a knowledge base and a method for the automatic classification of given simple sentences of the Kazakh language based on the construction of their parse trees and ontological models. For this, the structure of each type of sente
Autor:
Gaziza Yelibayeva, Banu Yergesh, Sharipbay Altynbek, Assel Omarbekova, Bibigul Razakhova, Assel Mukanova
Publikováno v:
DATA
This paper proposes a syntactic analysis of Kazakh simple sentences taking into account their semantics. To do this, first, the syntactic rules of sentences are described using formal grammar, then parsing trees and ontological models are built to de
Autor:
Banu Yergesh, Sharipbay Altynbek, Bekmanova Gulmira, Assel Omarbekova, Bibigul Razakhova, Assel Mukanova
Publikováno v:
Computación y Sistemas. 18
Abstrac t. We explain how semantic hyper-graphs are used to describe ontological models of morphological rules of agglutinative languages, with the Kazakh language as a case study. The vertices of these graphs represent morphological features and the