Zobrazeno 1 - 10
of 236
pro vyhledávání: '"T58.5-58.64"'
Autor:
Samat Mukhanov, Raissa Uskenbayeva, Young Im Cho, Dauren Kabyl, Nurzhan Les, Maqsat Amangeldi
Publikováno v:
Scientific Journal of Astana IT University, Pp 85-100 (2023)
Recently, there has been a growing interest in machine learning and neural networks among the public, largely due to advancements in technology which have led to improved methods of computer recognition of objects, sounds, texts, and other data types
Externí odkaz:
https://doaj.org/article/337a281c0ca44a5dbfead36eb3d39833
Autor:
Alexandr Neftissov, Andrii Biloshchytskyi, Sapar Toxanov, Saken Ordabayev, Olexandr Kuchansky, Yurii Andrashko, Vladimir Vatskel
Publikováno v:
Scientific Journal of Astana IT University, Pp 55-70 (2023)
This study analyzes the current situation of application of precision farming technologies and solutions by agricultural enterprises of the Republic of Kazakhstan. The main players and used solutions have been identified. The statistics of applicatio
Externí odkaz:
https://doaj.org/article/0bf9fa3532624440af67336ec22017cc
Publikováno v:
Scientific Journal of Astana IT University, Pp 27-40 (2023)
Large Language Models (LLMs), such as ChatGPT, have transformed the field of natural language processing with their capacity for language comprehension and generation of human-like, fluent responses for many downstream tasks. Despite their impressive
Externí odkaz:
https://doaj.org/article/01d8aceebe8f440fa9e15273023b0206
Autor:
Balgaisha Mukanova
Publikováno v:
Scientific Journal of Astana IT University, Pp 16-26 (2023)
To numerically solve the system of integral equations, it is customary to establish a discrete grid within each integration area. In the context of 3D modeling, these areas correspond to surfaces situated in space. The standard discretization techniq
Externí odkaz:
https://doaj.org/article/45d128f5019d4eb7ab49f16f0afdf551
Publikováno v:
Scientific Journal of Astana IT University, Pp 71-84 (2023)
One of the primary focuses of the Republic of Kazakhstan concerning sustainable and stable improvements in the well-being of its population is the advancement of the healthcare sector. A mathematical model for an automated medical diagnostics system
Externí odkaz:
https://doaj.org/article/6ba76a65afb14fb8bbf1dcfc0b2ccddb
Autor:
Assiya Sarinova, Alexandr Neftissov, Leyla Rzayeva, Lalita Kirichenko, Sanzhar Kusdavletov, Ilyas Kazambayev
Publikováno v:
Scientific Journal of Astana IT University, Pp 111-124 (2023)
This paper proposes a preprocessing algorithm for aerospace hyperspectral images based on a mathematical apparatus effectively applied in pre-compression transformation problems. In particular, several methods have been analyzed for hyperspectral ima
Externí odkaz:
https://doaj.org/article/7385f5d32b61450dadd95ac64f39d6b0
Autor:
Andrii Biloshchytskyi, Olexandr Kuchansky, Aidos Mukhatayev, Yurii Andrashko, Sapar Toxanov, Adil Faizullin
Publikováno v:
Scientific Journal of Astana IT University, Pp 139-148 (2023)
The primary objective of this article is to establish a set of fundamental criteria for the selection of scientific partners for collaborative research efforts. Achieving this objective entails addressing the challenge of identifying criteria that ar
Externí odkaz:
https://doaj.org/article/81940ffddea34032bbec4a7abb9bcb3b
Autor:
Dinara Zhaisanova, Madina Mansurova
Publikováno v:
Scientific Journal of Astana IT University, Pp 41-54 (2023)
This paper aims to study the blockchain concept domain in the computer science field due to bibliometric study. Authors employed bibliometric and network analysis techniques to analyze existing literature. In total, 719 articles in the period of 2019
Externí odkaz:
https://doaj.org/article/aa91399efb744b5ab4a6048e48141ab5
Autor:
Aigul Mimenbayeva, Anargul Shaushenova, Sandugash Bekenova, Maral Ongarbayeva, Lyazzat Zhumalieva, Zhanar Altynbekova, Ardak Nurpeisova
Publikováno v:
Scientific Journal of Astana IT University, Pp 149-159 (2023)
Dealing with agriculture, it is valuable to know an amount of moisture in a soil and to know how to forecast the stored soil moisture within particular period. Forecasting the stored soil moisture works for planning an extent and structure of crop pr
Externí odkaz:
https://doaj.org/article/da6e374fb50a490d81f68a1a8e17c05d
Publikováno v:
Scientific Journal of Astana IT University, Pp 160-181 (2023)
This article provides an in-depth exploration of Big-Oh and small-oh notations, shedding light on their practical implications in the analysis of algorithm complexity. Big-Oh notation offers a valuable tool for estimating an upper bound on the growth
Externí odkaz:
https://doaj.org/article/8886eeacf456484ea3a6c0611c20c413